Data Scientist Remote Jobs

78 Results

6h

Senior Data Scientist

Plain ConceptsSpain, Remote
MLagileDesign

Plain Concepts is hiring a Remote Senior Data Scientist

We are expanding our development teams and although we don’t care much about titles, we call this role Senior Data Scientist.

As an Data Scientist Engineer, you will be part our international AI/ML team developing tailored solutions to satisfy our client's needs. We are looking for a passionate engineer with background in machine/deep learning. You will be training, and deploying models, putting research into production, among other tasks.

You will be part of a multidisciplinary team, taking care of the software engineering challenges associated with AI. You will take part in challenging projects using cutting edge technologies. You will work in an international environment with the possibility of working from home or from our offices.

Our vision is to build multidisciplinary teams which directly manage projects in an AGILE way to find and implement the best solutions ????

You will be responsible for:

  • Participating in the design and development of AI solutions for challenging projects.
  • Building production level ML/AI solutions, with solid software engineering and ML/AI principles.
  • MLOps Automated deployment and monitoring (models and infrastructure).
  • Data analysis (data cleaning, variable transformation, etc.).
  • Developing and training ML models.
  • Putting AI models into production.
  • This means parallelizing, optimizing, tuning, testing the models to deploy in a production environment.
  • More than 5 years of experience in AI / Machine Learning / Computer Science.
  • Can build an “end-to-end software product” which has machine learning component.
  • Knowledges in applied computer vision.
  • Strong skills in Python and reasonable SQL understanding.
  • Experience in building ML/deep learning pipelines and models.
  • Experience in implementing production ready ML models using current ML/Deep learning techniques.
  • MLOps experience is very valuable for the team
  • Experience in projects with NLP is neccesary
  • ENGLISH IS MANDATORY

Very nice to have:

  • Experience with Deep learning frameworks like Tensorflow, PyTorch etc.
  • Experience with Big Data projects and tools. E
  • Experience writing RESTful web services.
  • Experience with DevOps technology (Docker, Continuous Integration and Continuous Deployment, etc.)
  • Experience with source code version control tools.
  • Experience working with Azure or other cloud-based solution.
  • Azure Machine Learning: Experience with Azure Machine Learning is a plus, although not essential.
  • Deep learning and neural networks.
  • Expertise in deep learning and high-level neural networks.
  • Experience with one or more of the following: Natural Language Processing, Computer Vision, recommendation systems, unsupervised learning, ranking systems or similar.
  • TensorFlow Lite, TensorFlow serving y grpc.
  • Unit testing knowledge.
  • Solid object-oriented programming skills.

What do we offer?

  • Salary determined by the market and your experience ????
  • Flexible schedule 35 Hours / Week ????
  • Fully remote work (optional) ????
  • Flexible compensation (restaurant, transport, and childcare) ✌
  • Medical and dental insurance (completely free of charge for the employee) ????
  • Individual budget for training and free Microsoft certifications ????
  • English lessons (1 hour/week) ????
  • Birthday day off ????????
  • Monthly bonus for electricity and Internet expenses at home ????
  • Discount on gym plan and sports activities ????
  • Plain Camp (annual team-building event) ????
  • ➕ The pleasure of always working with the latest technological tools!

With all this information you already know a lot about us. Will you let us know you better?

The selection process? Simple, just 3 steps: a call and 2 interviews with the team ????

And you may wonder… Who is Plain Concepts?

Plain Concepts is made up of 400 people who are passionate about technology, driven by the change towards finding the best solutions for our customers and projects.

Throughout the years, the company has grown thanks to the great technical potential we have and relying on our craziest and most innovative ideas. We currently have over 14 offices in 6 different countries. Our main goal is to keep growing as a team, developing the best and most advanced projects in the market.

We truly believe in the importance of bringing together people from different backgrounds and countries to build the best team, with a diverse and inclusive culture.

What do we do at Plain Concepts?

We are characterized for having a DNA 100% technical. We develop customized projects from scratch, technical consultancy, and training.

  • We don’t do bodyshopping or outsourcing
  • Our teams are multidisciplinary, and the organizational structure is flat and horizontal
  • We are very committed to AGILE values
  • Sharing is caring: We help, support, and encourage each other to expand our knowledge internally and also towards the community (with conferences, events, talks…)
  • We always look for creativity and innovation, even when the idea might seem crazy to others
  • Transparency is key to any relationship

To know more about us, take a look in our website:

https://www.plainconcepts.com/case-studies/

At Plain Concepts, we certainly seek to provide equal opportunities. We want diverse applicants regardless of race, colour, gender, religion, national origin, citizenship, disability, age, sexual orientation, or any other characteristic protected by law.

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3d

Data Scientist III

VeriskMarkham, Canada, Remote
nosqlsqlDesignmongodbc++python

Verisk is hiring a Remote Data Scientist III

Job Description

Working as a Data Scientist at Verisk means:

  • Being part of and contributing to a large, vibrant community
  • Understanding problems in multiple verticals including P&C Insurance, Life Insurance, Energy, Financial Services, Environmental Health and Safety, Geopolitical Security
  • Applying a variety of analytic methodologies including Predictive Modeling, Machine Learning, Forecasting, Network Analytics, Natural Language Processing, Computer Vision, and Voice and Speech Analytics to develop solutions to those business problems
  • Working with a diverse set of extremely rich datasets such as 19 billion detailed records of insurance premiums collected and losses paid, 90%+ of Insurance Claims in the US, 95%+ of Credit Cards transactions in the US and UK, 7 million+ Safety Data Sheets, and Information on 3 million+ oil and gas wells
  • Seeing your work result in new products, product enhancements, consulting revenue, or internal process improvements on a regular basis
  • Working with cutting-edge technology, and continuously developing new skills and capabilities

Purpose of the role:

  • Development of analytic solutions in support of increasing the efficiency of Verisk processes, enhancing Verisk’s current products, and developing new products.
  • Lead projects with up to two more junior analytic scientists
  • Development of analytic interns (that you are responsible for)
  • Contribute to the development of the Verisk Analytic Community.

Primary Goals to Be Assured:

  • The development and timely delivery of analytic solutions that meet business requirements around accuracy, sophistication, and interpretability.
  • The incorporation of technical innovations and new developments in relevant analytic fields
  • The development of analytic intern analysts that you are responsible for
  • The sharing of important methodologies, advances, and best practices from your work among the whole analytics community

Specific Responsibilities:

The development and timely delivery of analytic solutions that meet business requirements around accuracy, sophistication, and interpretability.

  • Design analytic solutions to identified problems
  • Develop analytic solutions using machine learning techniques including Predictive Modeling, Text Mining, Entity Resolution, Time-series Forecasting, Network Analytics, Computer Vision, and Automated Speech Recognition.
  • Ensure that solutions meet business requirements around accuracy, sophistication, and interpretability.
  • Ensure that solution is delivered in a timely manner.

The incorporation of technical innovations and new developments in relevant analytic fields:

  • Keep abreast of technical innovations and new developments in relevant analytic fields
  • Consider these innovations/new developments when designing analytic solutions

The development of analytic interns that you are responsible for:

  • Identify training opportunities and project opportunities that can help develop the analytic interns that you are responsible for.

The sharing of important methodologies, advances, and best practices from your work among the whole analytic community:

  • Help organize these forums for developing Verisk’s analytic community
  • Share important methodologies, advances, and best practices from your work among the whole analytic community via these forums

Success Criteria

  •  Measurable contribution to products and processes in terms of new products developed, enhanced products, direct revenue supported, cost savings etc
  •  Positive feedback on the support received from business partners
  • Advancement of analytic interns that you are responsible for
  • Positive feedback from analytic interns that you are responsible for
  • Positive feedback from team members and leaders of the Verisk analytic community

Qualifications

  • Bachelor’s in quantitative field with 8-12 years of relevant experience, or Master’s in quantitative field with 6-8 years of relevant experience, or PhD in quantitative field with 3-5 years relevant experience
  • Strong programming skills, particularly in one or more of Spark, SAS, R, Python, C
  • Ability to solve problems analytically and creatively
  • Strong communication (written and oral) skills
  • A depth of knowledge in one or more of Big Data Platforms, Predictive Modeling, Entity Resolution, Time-series Forecasting, Graph Databases, Network Analytics, Neural Networks, NLP, Computer Vision, ASR
  • Familiarity with SQL or NoSQL (e.g., Hadoop, HBase, MongoDB and/or Neo4j) databases

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4d

Senior Applied Data Scientist

PriceHubbleVienna,Austria, Remote
MLB2BDesign

PriceHubble is hiring a Remote Senior Applied Data Scientist

About PriceHubble

PriceHubble is a European B2B company that builds innovative digital solutions for the financial and real estate industries based on property valuations and market insights. Leveraging big data, cutting-edge analytics, and great visualization, our product suite brings a new level of transparency to the market, enabling their customers to make real estate and investment decisions based on the most accurate data-driven insights (such as valuations, market analyses, value forecasts, building simulations or energy performance insights) and enhance the dialogue with end consumers. PriceHubble's digital solutions are designed to help all players across the entire real estate value chain (banks, asset managers, developers, property managers, and real estate agents). PriceHubble is already active in 11 countries (Switzerland, France, Germany, Austria, the United Kingdom, Japan, Netherlands, Belgium, Czech Republic, Slovakia, and the United States) and employs more than 200 people worldwide. 

The opportunity

At PriceHubble, we organize our teams into Tribes. Each Tribe is responsible for a specific part of our product. They identify customer needs, create solutions, and ensure everything runs smoothly. Each Tribe operates independently, managing all aspects of its area. Engineers rotate between project teams and a group focused on maintenance and technical improvements.

The Property Intelligence Tribe provides insights to make informed real estate decisions. This includes assessing property values, tracking market trends, evaluating investment opportunities, and improving property management. Our mission is to deliver accurate property information for every residential property in our areas of operation. In that, Tribe members create the unique insights and intellectual property that drive our products.

The Tribe is a distributed team of engineers from 6 nationalities, located in 5 different European countries.

As an applied Senior Data Scientist, you will work on the ML systems that drive the core services of our platform. You will design, implement, and maintain Automated Valuation Models (AVMs) that professionals trust for assessing residential property values.

The impact you will have

  • Develop product features that directly drive revenue growth. Our valuation models are major selling points for our customers.
  • Navigate cost-value trade-offs to make decisions that deliver value to customers at an appropriate cost.
  • Implement solutions that work well in over 10 countries, while considering local specifics in your model.
  • Lead a project from concept to launch, working with a temporary team of engineers.
  • Raise the bar and drive the team to deliver high-quality products, services, and processes.
  • Improve the performance and cost-efficiency of our ML models and pipelines at scale.
  • Maintain and monitor the ML systems owned by your team.

What we look for

  • A product-oriented mindset and enthusiasm for contributing to user-facing products. For you, ML is a means to an end – you're focused on delivering value to customers.
  • Excellent English communication skills, both spoken and written, that allow you to communicate effectively with cross-functional partners and mentor fellow engineers. In our distributed team setup, strong writing communication skills are essential.
  • Hands-on, you value writing clear, simple, and maintainable code. You understand that code is read more often than it is written.
  • You embrace a growth mindset. You always continue learning and always seek new challenges. 
  • Over 3 years of industry experience applying machine learning to solve business problems and writing production ML pipelines.

Bonus

  • Previous experience in PropTech.
  • Proficient in working with geospatial data and leveraging geospatial features.

We're actively seeking applications from candidates of all backgrounds.

Join an ambitious and hungry team and enjoy the following benefits:

???? Competitive salary because we always want to attract the best talents.

???? Learning & Development program - We want you to feel happy, confident about improving your skills, experience level as well as your personal development success.

???? Very well-located offices with a great remote work policy and the possibility to work from different places.

???? Flexible working hours and work life balance.

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4d

Senior Data Scientist

TubiSan Francisco, CA; Remote
sqlDesignc++python

Tubi is hiring a Remote Senior Data Scientist

Join Tubi (www.tubi.tv), Fox Corporation's premium ad-supported video-on-demand (AVOD) streaming service leading the charge in making entertainment accessible to all. With over 200,000 movies and television shows, including a growing library of Tubi Originals, 200+ local and live news and sports channels, and 455 entertainment partners featuring content from every major Hollywood studio, Tubi gives entertainment fans an easy way to discover new content that is available completely free. Tubi's library has something for every member of our diverse audience, and we're committed to building a workforce that reflects that diversity. We're looking for great people who are creative thinkers, self-motivators, and impact-makers looking to help shape the future of streaming.

About the Role: 

We seek a Senior Data Scientist to play a pivotal role in advancing Tubi's Experimentation platform. You will contribute to the company’s data-driven experimentation process, supporting continuous improvements to the user experience and the organization's strategies. You will be involved in designing, analyzing, and interpreting our testing calendar, which includes A/B, holdout, MMT, and switchback tests. You will advance our technical infrastructure to improve test velocity and statistical rigor. Finally, you will provide insights and recommendations to inform data-driven decisions across all departments.

Responsibilities:

  • Plan and execute experimentation strategies, fostering a culture of innovation
  • Enhance statistical rigor, metric alignment, transparency, and effectiveness of Tubi’s experiment frameworks
  • Research advanced features and methods to add to the experimentation pipeline, aiming to reduce test duration, increase sensitivity, accurately determine sample size, etc
  • Define and select experiment proxy metrics that align with the company’s North Star objectives
  • Provide expert evaluation of experiment design, including pre-test planning, in-flight monitoring, and post-experiment analysis for graduation decisions
  • Collaborate with cross-functional teams to define and execute domain-specific and global holdout tests, measuring the individual and collective impact of the company’s initiatives

Your Background:

  • Strong technical experience in a data science role, with emphasis on A/B testing and experimentation in a technology-focused organization
  • Deep knowledge of experimental design, statistical methods, and best practices in A/B testing and causal inference
  • Advanced proficiency in programming and data manipulation using SQL, Python, and Spark
  • Strong analytical skills with proficiency in statistical analysis and the ability to derive insights from large datasets
  • Excellent communication skills with the ability to present complex findings in a structured and transparent manner to non-technical stakeholders

Bonus:

  • Video streaming industry experience is a plus.

Pursuant to state and local pay disclosure requirements, the pay range for this role, with final offer amount dependent on education, skills, experience, and location is listed annually below. This role is also eligible for an annual discretionary bonus, long-term incentive plan, and various benefits including medical/dental/vision, insurance, a 401(k) plan, paid time off, and other benefits in accordance with applicable plan documents.

California, New York City, Westchester County, NY, and Seattle, WA Compensation

$134,000 to $191,000 / year + Bonus + Long-Term Incentive Plan + Benefits

Colorado and Washington (excluding Seattle, WA) Compensation

$120,000 to $172,000 / year + Bonus + Long-Term Incentive Plan + Benefits

#LI-MQ1


Tubi is a division of Fox Corporation, and the FOX Employee Benefits summarized here, covers the majority of all US employee benefits.  The following distinctions below outline the differences between the Tubi and FOX benefits:

  • For US-based non-exempt Tubi employees, the FOX Employee Benefits summary accurately captures the Vacation and Sick Time.
  • For all salaried/exempt employees, in lieu of the FOX Vacation policy, Tubi offers a Flexible Time off Policy to manage all personal matters.
  • For all full-time, regular employees, in lieu of FOX Paid Parental Leave, Tubi offers a generous Parental Leave Program, which allows parents twelve (12) weeks of paid bonding leave within the first year of the birth, adoption, surrogacy, or foster placement of a child. This time is 100% paid through a combination of any applicable state, city, and federal leaves and wage-replacement programs in addition to contributions made by Tubi.
  • For all full-time, regular employees, Tubi offers a monthly wellness reimbursement.

Tubi is proud to be an equal opportunity employer and considers qualified applicants without regard to race, color, religion, sex, national origin, ancestry, age, genetic information, sexual orientation, gender identity, marital or family status, veteran status, medical condition, or disability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider employment for qualified applicants with arrest and conviction records. We are an E-Verify company.

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8d

Data Scientist | Fully Remote US

HireVue IncSouth Jordan, UT, Remote
Designpython

HireVue Inc is hiring a Remote Data Scientist | Fully Remote US

Job Description

Are you ready to make a real impact in the world of hiring? At HireVue, we’re on a mission to revolutionize the recruitment landscape by harnessing the power of data and AI. Our Data Science team, embedded within our Product organization, is at the forefront of this exciting journey!

As part of our team, you’ll develop cutting-edge, data-driven products that enhance the hiring process by focusing on human potential and connecting talent with opportunity. We’re responsible for all things AI at HireVue, from our intuitive chatbot to analyzing language in video interviews, and much more!

We’re entering an exhilarating new phase of innovation, exploring candidate matching and GenAI-based tools that will redefine how companies find and engage talent. If you’re passionate about leveraging data to drive meaningful change and thrive in a collaborative, forward-thinking environment, we want to hear from you!

  • Innovate with Algorithms: Dive into the world of cutting-edge technology by developing groundbreaking algorithms and models that will enhance our products and elevate the hiring experience!

  • Uncover Insights: Use your analytical skills to extract and analyze rich datasets from HireVue, focusing on human interactions and decision-making. Your discoveries will drive meaningful improvements!

  • Create Success Metrics: Take the lead in formulating success metrics and crafting algorithms for entirely new products, paving the way for innovative solutions in the hiring landscape.

  • Experiment and Explore: Design and execute exciting experiments to test new product ideas, pushing the boundaries of what’s possible and shaping the future of hiring!

Qualifications

We are looking for candidates with:

  • 2+ years of Data Science work experience

  • Degree in a quantitative discipline (MS or PhD preferred) - Statistics, Mathematics, Computer Science, Physics, Engineering, etc. 

  • Experience with standard Machine Learning algorithms, including model evaluation and hyperparameter tuning

  • Experience with algorithmic fairness is a plus

  • Familiarity with recommender systems preferred

  • Proficiency with novel NLP techniques (embedding models)

  • Must program in a scripting language such as Python. Familiarity with machine learning Python libraries like numpy, scikit, and pandas is required.

  • Able to collaborate with the HireVue Industrial-Organizational Psychology team to perform novel research to remain pioneers in hiring technology

  • Able to translate business objectives into actionable analyses

  • Able to communicate findings clearly to both technical and non-technical audiences

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10d

Data Scientist

AssemblyRemote
Mid LevelFull TimeMaster’s DegreescalasqlDesignazurejavapythonAWS

Assembly is hiring a Remote Data Scientist

Data Scientist - Assembly Industries - Career PageCollaborate with bu

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Tiger Analytics is hiring a Remote Senior Data Scientist - Telematics

Tiger Analytics is looking for a fully remote experienced Telematics Data Scientist to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.

As a part of our team, you will apply strong expertise in AI through the use of machine learning, data mining, and information retrieval to design, prototype, and build next generation advanced analytics engines and services. You will collaborate with cross-functional teams and business partners to define the technical problem statement and hypotheses to test. You will develop efficient and accurate analytical models which mimic business decisions and incorporate those models into analytical data products and tools. You will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results.

  • Bachelor’s Degree in Computer Science or closely related field.
  • 6 to 10 years of experience in Data Science.
  • Experience with R, Python, or similar programming languages.
  • Experience working in the areas of vehicle telematics, logistics, pattern detection in sensor or smartphone-connected data, and geospatial mapping.
  • Experience with the development of computational algorithms to reduce computation time (e.g. MapReduce).
  • Deep expertise with relevant geospatial packages (e.g. geopandas and rasterio in Python; maptools, spdep, or OpenStreetMap) is a major plus.
  • Experience with popular machine learning and deep learning frameworks (e.g. H2O, TensorFlow, PySpark, PyTorch, MXNet, Caffe).
  • Understanding of the challenges in data harmonization and feature preparation from variety of 3rd party providers
  • Experience with distributed storage and database platforms.
  • Understanding how the telematics data gets leveraged downstream for BI (trip completion) and analytics purposes (pricing)
  • Experience working with weather and atmospheric data.
  • Experience with batch, micro-batch, streaming, and distributed processing platforms such as Flink, Hadoop, Kafka, Spark, Hudi, AWS EMR, Arrow, or Storm.
  • Experience working within Amazon Web Services (AWS) cloud computing environments.
  • Experience with terabytes, petabytes, or even exabytes of data.
  • Familiarity with containerization tools such as Docker and Kubernetes.
  • Background in spatial optimization algorithms is a major plus.

This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

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19d

Senior Data Scientist, Borrowing

MonzoCardiff, London or Remote (UK)
sqlDesignpython

Monzo is hiring a Remote Senior Data Scientist, Borrowing

???? We’re on a mission to make money work for everyone.

We’re waving goodbye to the complicated and confusing ways of traditional banking. 

With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers!

We’re not about selling products - we want to solve problems and change lives through Monzo ❤️

Hear from our team about what it's like working at Monzo


 

????London | UK remote | ???? £80,000 to £90,000 + Stock Options + Benefits | Hear from the team

About us: 

We’re here to make money work for everyone and we're doing things differently. For too long, banking has been obtuse, complex and opaque.

We want to change that and build a bank with everyone, for everyone. Our amazing community suggests features, test the app and give us constant feedback so we can build something everyone loves.

We're focused on solving problems, rather than selling financial products. We want to make the world a better place and change people's lives through Monzo.

About our Data Science Team:

We're looking for a Senior Data Scientist excited to help build the bank of the future. You'll have the opportunity to super charge our user experience in 2024 and help us to build a bank that customers truly love.

At Monzo, we're building a bank that is fair, transparent and a delight to use. We’re growing extremely fast and have over 9 million customers in the UK, with over 100,000 new people joining every month. We’ve built a product that people love and more than 80% of our growth comes from word of mouth and referrals.

Enable Monzo to Make Better Decisions, Faster

We have a strong culture of data-driven decision making across the whole company. And we're great believers in powerful, real-time analytics and empowerment of the wider business. All our data lives in one place and is super easy to use. 90% of day-to-day data-driven decisions are covered by self-serve analytics through Looker which gives data scientists the head space to focus on more impactful business questions and analyses.

What you’ll be working on 

We work in cross-functional squads where every data scientist is a member of a central data discipline and fully embedded into Borrowing product squads alongside engineers, designers, marketers and product managers.

Your day-to-day

  • Apply your expertise in analytics and data science to build a comprehensive understanding of our customers through identifying their needs and behaviours to steer data driven product development.
  • Lead and empower product teams to measure things that matter to improve our products and customer experience.
  • Design, implement and analyse A/B tests to assess the impact of product features and changes.
  • Collaborate with user research to use data to enhance insights and guide strategic decisions.
  • Develop and maintain data pipelines, dashboards, and reporting tools to monitor product performance.
  • Liaise with engineers to keep making sure we collect the right data to produce relevant business insights.

You should apply if:

What we’re doing here at Monzo excites you!

  • You're impact driven and eager to have a real positive impact on the company, product, users and very importantly your colleagues as well
  • You're commercially minded and can put numbers into business perspective
  • You’re as comfortable getting hands-on as taking a step back and thinking strategically
  • You have a self-starter mindset; you proactively identify issues and opportunities and tackle them without being told to do so
  • You're a team player whom your colleagues can rely on
  • You have solid grounding in SQL and preferably Python
  • You have experience in conducting large scale A/B experiments

The Interview Process:

Our interview process involves three main stages: 

  1. Initial Call 
  2. Technical assessment
  3. Final interview including a case study and collaboration interview 

Our average process takes around 2-3 weeks but we will always work around your availability. 

You will have the chance to speak to our recruitment team at various points during your process but if you 

do have any specific questions or want to talk through reasonable adjustments ahead of or during application please us at any point on tech-hiring@monzo.com 

What’s in it for you:

???? £80,000 to £90,000 + Stock Options + Benefits

✈️ We can help you relocate to the UK 

✅ We can sponsor visas 

????This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London).

⏰ We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team.

????Learning budget of £1,000 a year for books, training courses and conferences

➕And much more, see our full list of benefits here

If you prefer to work part-time, we'll make this happen whenever we can - whether this is to help you meet other commitments or strike a great work-life balance.

 

#LI-NB2 #LI-Remote


Equal opportunities for everyone

Diversity and inclusion are a priority for us and we’re making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we’re embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our blog, 2023 Diversity and Inclusion Report and 2023 Gender Pay Gap Report.

We’re an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status.

If you have a preferred name, please use it to apply. We don't need full or birth names at application stage ????

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22d

Data Scientist

InstacartCanada - Remote
sqlDesignpython

Instacart is hiring a Remote Data Scientist

We're transforming the grocery industry

At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers.

Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table.

Instacart is a Flex First team

There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work.

OVERVIEW

 

About the Role

This is a general posting for multiple Data Science roles open across our 4-sided marketplace. You’ll get the chance to learn about the different problems the Data Science team solves as you go through the process. Towards the end of your process, we’ll do a team-matching exercise to determine which of the open roles/teams you’ll join. You can find a blurb on each team at the bottom of this page. 

With regards to level, we have flexibility. Your level will be determined by your education, years of experience, and most importantly, how you perform throughout the interview process. If you're targeting a senior title, you'll need to prove to the team that you're operating at that level. 

 

About the Team

You will be joining a growing data science team and will tackle some of the most challenging and impactful problems that are transforming how people buy groceries every day. You will be embedded within our data-driven product team as a trusted partner in uncovering barriers in the product’s usability and utilize these insights to inform product improvements that drive angle-changing growth. We’re looking for a self-driven, strategic thinker who can hit the ground running to ultimately influence decision-making across the entire organization.

 

ABOUT THE JOB

  • Own analytical frameworks that guide the product roadmap
  • Design rigorous experiments and interpret results to draw detailed and actionable conclusions
  • Develop statistical models to extract trends, measure results, and predict future performance of our product
  • Build simulations to project impact of various product and policy interventions
  • Enable objective decision making across the company by democratizing data through dashboards and other analytical tools
  • Use expertise in causal inference, machine learning, complex systems modeling, behavioral decision theory etc. to shape the future of Instacart
  • Present findings in a compelling way to influence Instacart’s leadership

 

ABOUT YOU

Minimum Qualifications

  • 2+ years experience working in a quantitative role at a product company or a research organization
  • Ability to run rigorous experiments and come up with scientifically sound recommendations
  • Ability to write complex, efficient, and eloquent SQL queries to extract data
  • Ability to write efficient and eloquent code in Python or R
  • A desire to build and improve consumer software products
  • Ability to translate business needs into analytical frameworks
  • Eagerness to learn, flexibility to pivot when needed, savviness to navigate and thrive in a dynamic environment, and a growth mindset needed to build a successful team and company

 

Preferred Qualifications

  • Awareness of business trade offs when working on a multi-sided marketplace 
  • Confidence in collaborating with and influencing cross-functional stakeholders (i.e. Product, Engineering), at a senior level
  • MS/PhD in Statistics, Economics, Applied Mathematics, or a similar field

 

OPEN ROLES:

Commerce Platform

This team is a key player in driving affordability for Insacart, through the promotion & adoption of retailer loyalty & discount programs. On this team, you'll engage in pricing optimizations at item, category, retailer, and geo levels to foster long-term customer growth. You'll evaluate the effects of the platform's performance improvements, such as latency reduction for ordering and invoicing. 

Growth & Marketing Tech

Instacart's marketing data science team serves as thought partners and problem solvers for the Growth and Marketing orgs, supporting our broader mission to give everyone access to the food they love. We are responsible for understanding the end to end scope of growth marketing, including how marketing shapes and impacts customer behavior both today and in the long run, the efficiency and performance of any marketing technology we utilize, and what the highest ROI investments are in both marketing and marketing technology. We synthesize our insights and knowledge into actionable tactics, optimizations, and strategy within marketing.

New Bets

The New Bets Data Science team exists to provide data-driven insights and strategic guidance around Instacart’s most promising emerging initiatives, collectively known as "new bets”. You will play a critical role in supporting these exciting new bets, including Instacart Business and Health, by establishing data foundations, discovering new opportunities, and evaluating success using your business judgement and experimentation. The position requires a scrappy, "startup-like" mindset, as you will partner closely with self-directed teams forming new business lines all while leveraging the knowledge and systems of Instacart's established marketplace.

Order Experience

We are seeking a Senior Data Scientist to join our Order Experience team at Instacart, with a keen focus on enhancing consumer interactions through strategic data-driven insights. The ideal candidate should be passionate about creating a seamless user experience, focusing on optimizing our critical surfaces such as cart and checkout, and playing a significant role in strategic initiatives like Family Account features. This role requires strong product-facing data science experience, strategic thinking, and adeptness at collaborating with stakeholders to translate complex data into actionable product recommendations.

Retailer Storefronts

Retailer Storefronts builds white label storefronts for retail partners and committed to being the best digital enablement platform for our retailers, both online and in-store. DSA supports Retailer Storefronts by leveraging observational data to help drive product and marketing strategies grow our and our retailers' businesses.

 

#LI-Remote

Instacart provides highly market-competitive compensation and benefits in each location where our employees work. This role is remote and the base pay range for a successful candidate is dependent on their permanent work location. Please review our Flex First remote work policy here. Currently, we are only hiring in the following provinces: Ontario, Alberta and British Columbia.

Offers may vary based on many factors, such as candidate experience and skills required for the role. Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants. Please read more about our benefits offerings here.

For Canadian based candidates, the base pay ranges for a successful candidate are listed below.

CAN
$117,000$150,000 CAD

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23d

Data Scientist

UrbantzBrussels, BR - Remote
sqlDesign

Urbantz is hiring a Remote Data Scientist

The Bit About Urbantz

At Urbantz, we help the world’s largest retail, grocery, e-commerce and logistics companies love their last mile with a smarter, greener approach to delivery management. Our SaaS platform was built specifically for enterprises to help them cut through the complexity of multi-fleet operations and drive greater sustainability in the final mile at any scale.

More than 100 brands enjoy the clarity and control to cut their CO2 emissions, allocate smartly across carriers, build unique workflows and ensure on-brand delivery experiences for recipients with Urbantz.

Since our inception in 2015, we’ve enjoyed phenomenal growth across Europe, the Middle East and beyond. In 2020, Deloitte ranked us third in its annual Technology Fast 50 list.

The Challenge

Orchestrating the delivery of thousands and thousands of packages daily is no small feat. It gets even more interesting if you ship from multiple locations, time-slot restrictions, zero-emission zones, and a mixed fleet of bicycles, electric and carbon fuelled vehicles ... Our customers count on us not only to keep track of their deliveries but also to deliver them in the most optimal way.

As a Data Scientist, you'll mine through data and build algorithms that help our customers to operate efficient and sustainable last-mile operations.

The Day-to-Day

    • Together with the product management team you identify opportunities to improve our customer's last-mile operations.
    • You mine route planning and tracking data, research algorithms, and design new models.
    • Together with the software engineering teams, you implement end-to-end solutions and launch them in production.
    • You develop mechanisms to assess the performance of models and algorithms both offline, using historical data or simulations, and online in production environments.

    The Must Haves

    • Master's degree in Computer Science, Applied Mathematics, Statistics or Machine Learning.
    • At least three years of experience in a similar role.
    • A positive mindset and like to find ways to constantly improve in what you do.
    • You can build a plan to iteratively deliver larger initiatives and organise the work to be done.
    • Expertise in data mining tools and programming languages such as SQL and Python.
    • Hands-on experience in building and deploying Machine Learning models.
    • Proficient in English.

      The Great to Haves

      • PhD in Machine Learning or Operational Research.
      • You have prior experience or interest in solving complex mathematical problems in Supply Chain or similar domain.
      • Previous experience in Network Simulation (Discrete Event Simulation) or Optimization is desirable but not mandatory.

        The Perks

        • Work where you choose: our fancy offices in the center of Brussels, your spare bedroom, a cabin in the woods… you decide.
        • Autonomy to define and navigate your own path to success.
        • A competitive salary, the right tools and a range of fringe benefits depending on your country location.
        • An incredibly diverse international team and a company culture that encourages freedom, creativity and collaboration.
        • Opportunities to grow your expertise through training, workshops and conferences.
        • Team meetups in Brussels, an annual offsite somewhere sunny.

        See more jobs at Urbantz

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        25d

        Senior Data Scientist (Argentina)

        SezzleArgentina, Remote
        SalesDevOPSgolangBachelor's degreepostgressqlDesigngitelasticsearchMySQLtypescriptkubernetespythonAWSbackendfrontend

        Sezzle is hiring a Remote Senior Data Scientist (Argentina)

        Job Title: Senior Data Scientist

        Location: Remote / Latin America

        About Sezzle:

        Sezzle is a cutting-edge fintech company dedicated to financially empowering the next generation. With only one in three millennials owning a credit card and the majority lacking their desired credit scores, Sezzle addresses these challenges through a payment platform that offers interest-free installment plans at online stores. By increasing consumers’ purchasing power, Sezzle drives sales and basket sizes for thousands of eCommerce merchants that it partners with.

        About the Role:

        We are seeking a talented and motivated Senior Data Scientist who is best in class with a high IQ plus a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with abundant prospects for career advancement. You will join our core AI/ML team and work on designing, developing, and deploying machine learning models to power and enhance our financial platform. Your responsibilities will involve building scalable machine learning solutions for personalized recommendations, dynamic collection systems, internal A.I. tools, and more, using a mix of cloud services, open-source tools, and proprietary algorithms.

        What You’ll Do:

        • Build machine learning-based collection systems

        • Develop forecasting models to understand and predict cash flow

        • Design recommender system architectures from scratch

        • Utilize off-the-shelf recommender systems like AWS Personalize

        • Design and conduct A/B tests to measure effectiveness

        • Use PyTorch/TensorFlow to build neural network-based systems

        • Deploy machine learning models in AWS

        • Monitor model performance and feature drift

        What We Look For:

        • 5+ years of experience working as a data scientist or machine learning engineer

        • Proven track record of building and deploying impactful machine learning systems

        • Proficiency in SQL and Python

        • Expertise in data analysis and database structures

        • Experience building and deploying neural networks with TensorFlow and PyTorch

        • Experience building risk models or collection systems (a plus)

        • Experience building machine learning recommender systems (a plus)

        • Strong academic performance with a 4.2+/5.0 GPA 

        About You:

        • You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.

        • You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things.

        • You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.

        • You earn trust - you listen attentively, speak candidly, and treat others respectfully.

        • You have backbone; disagree, then commit - you can respectfully challenge decisions when you disagree, even when doing so is uncomfortable or exhausting. You have conviction and are tenacious. You do not compromise for the sake of social cohesion. Once a decision is determined, you commit wholly.

        • You deliver results - you focus on the key inputs and deliver them with the right quality and in a timely fashion. Despite setbacks, you rise to the occasion and never settle.

        Interview Process:

        1.Online Assessment (12 minutes)

        2.SQL and Python Questions (30 minutes)

        3.Virtual Interview (30 minutes)

         

        Sezzle’s Technology Stack:

        • Languages:Golang, Typescript, Python
        • Frontend:Typescript - React and React Native
        • Backend:Golang
        • Database:MySQL, Postgres, Elasticsearch
        • DevOps & Cloud:AWS, Kubernetes
        • Version Control:Git
        • CI/CD:Gitlab
        • Testing:Developer-driven, focus on automated unit, integration, and end-to-end tests
        • Sezzle is focused on using open source, and we build what we can before buying!

        What Makes Working at Sezzle Awesome:

        At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators. We believe in surrounding ourselves with only the best and the brightest individuals. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire.

        #Li-remote

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        25d

        Senior Data Scientist (Chile)

        SezzleChile, Remote
        SalesDevOPSgolangBachelor's degreepostgressqlDesigngitelasticsearchMySQLtypescriptkubernetespythonAWSbackendfrontend

        Sezzle is hiring a Remote Senior Data Scientist (Chile)

        Job Title: Senior Data Scientist

        Location: Remote / Latin America

        About Sezzle:

        Sezzle is a cutting-edge fintech company dedicated to financially empowering the next generation. With only one in three millennials owning a credit card and the majority lacking their desired credit scores, Sezzle addresses these challenges through a payment platform that offers interest-free installment plans at online stores. By increasing consumers’ purchasing power, Sezzle drives sales and basket sizes for thousands of eCommerce merchants that it partners with.

        About the Role:

        We are seeking a talented and motivated Senior Data Scientist who is best in class with a high IQ plus a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with abundant prospects for career advancement. You will join our core AI/ML team and work on designing, developing, and deploying machine learning models to power and enhance our financial platform. Your responsibilities will involve building scalable machine learning solutions for personalized recommendations, dynamic collection systems, internal A.I. tools, and more, using a mix of cloud services, open-source tools, and proprietary algorithms.

        What You’ll Do:

        • Build machine learning-based collection systems

        • Develop forecasting models to understand and predict cash flow

        • Design recommender system architectures from scratch

        • Utilize off-the-shelf recommender systems like AWS Personalize

        • Design and conduct A/B tests to measure effectiveness

        • Use PyTorch/TensorFlow to build neural network-based systems

        • Deploy machine learning models in AWS

        • Monitor model performance and feature drift

        What We Look For:

        • 5+ years of experience working as a data scientist or machine learning engineer

        • Proven track record of building and deploying impactful machine learning systems

        • Proficiency in SQL and Python

        • Expertise in data analysis and database structures

        • Experience building and deploying neural networks with TensorFlow and PyTorch

        • Experience building risk models or collection systems (a plus)

        • Experience building machine learning recommender systems (a plus)

        • Strong academic performance with a 4.2+/5.0 GPA 

        About You:

        • You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.

        • You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things.

        • You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.

        • You earn trust - you listen attentively, speak candidly, and treat others respectfully.

        • You have backbone; disagree, then commit - you can respectfully challenge decisions when you disagree, even when doing so is uncomfortable or exhausting. You have conviction and are tenacious. You do not compromise for the sake of social cohesion. Once a decision is determined, you commit wholly.

        • You deliver results - you focus on the key inputs and deliver them with the right quality and in a timely fashion. Despite setbacks, you rise to the occasion and never settle.

        Interview Process:

        1.Online Assessment (12 minutes)

        2.SQL and Python Questions (30 minutes)

        3.Virtual Interview (30 minutes)

        Sezzle’s Technology Stack:

        • Languages:Golang, Typescript, Python
        • Frontend:Typescript - React and React Native
        • Backend:Golang
        • Database:MySQL, Postgres, Elasticsearch
        • DevOps & Cloud:AWS, Kubernetes
        • Version Control:Git
        • CI/CD:Gitlab
        • Testing:Developer-driven, focus on automated unit, integration, and end-to-end tests
        • Sezzle is focused on using open source, and we build what we can before buying!

        What Makes Working at Sezzle Awesome:

        At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators. We believe in surrounding ourselves with only the best and the brightest individuals. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire.

        #Li-remote

        See more jobs at Sezzle

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        25d

        Senior Data Scientist (Colombia)

        SezzleColombia, Remote
        SalesDevOPSgolangBachelor's degreepostgressqlDesigngitelasticsearchMySQLtypescriptkubernetespythonAWSbackendfrontend

        Sezzle is hiring a Remote Senior Data Scientist (Colombia)

        Job Title: Senior Data Scientist

        Location: Remote / Latin America

        About Sezzle:

        Sezzle is a cutting-edge fintech company dedicated to financially empowering the next generation. With only one in three millennials owning a credit card and the majority lacking their desired credit scores, Sezzle addresses these challenges through a payment platform that offers interest-free installment plans at online stores. By increasing consumers’ purchasing power, Sezzle drives sales and basket sizes for thousands of eCommerce merchants that it partners with.

        About the Role:

        We are seeking a talented and motivated Senior Data Scientist who is best in class with a high IQ plus a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with abundant prospects for career advancement. You will join our core AI/ML team and work on designing, developing, and deploying machine learning models to power and enhance our financial platform. Your responsibilities will involve building scalable machine learning solutions for personalized recommendations, dynamic collection systems, internal A.I. tools, and more, using a mix of cloud services, open-source tools, and proprietary algorithms.

        What You’ll Do:

        • Build machine learning-based collection systems

        • Develop forecasting models to understand and predict cash flow

        • Design recommender system architectures from scratch

        • Utilize off-the-shelf recommender systems like AWS Personalize

        • Design and conduct A/B tests to measure effectiveness

        • Use PyTorch/TensorFlow to build neural network-based systems

        • Deploy machine learning models in AWS

        • Monitor model performance and feature drift

        What We Look For:

        • 5+ years of experience working as a data scientist or machine learning engineer

        • Proven track record of building and deploying impactful machine learning systems

        • Proficiency in SQL and Python

        • Expertise in data analysis and database structures

        • Experience building and deploying neural networks with TensorFlow and PyTorch

        • Experience building risk models or collection systems (a plus)

        • Experience building machine learning recommender systems (a plus)

        • Strong academic performance with a 4.2+/5.0 GPA 

        About You:

        • You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.

        • You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things.

        • You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.

        • You earn trust - you listen attentively, speak candidly, and treat others respectfully.

        • You have backbone; disagree, then commit - you can respectfully challenge decisions when you disagree, even when doing so is uncomfortable or exhausting. You have conviction and are tenacious. You do not compromise for the sake of social cohesion. Once a decision is determined, you commit wholly.

        • You deliver results - you focus on the key inputs and deliver them with the right quality and in a timely fashion. Despite setbacks, you rise to the occasion and never settle.

        Interview Process:

        1.Online Assessment (12 minutes)

        2.SQL and Python Questions (30 minutes)

        3.Virtual Interview (30 minutes)

        Sezzle’s Technology Stack:

        • Languages:Golang, Typescript, Python
        • Frontend:Typescript - React and React Native
        • Backend:Golang
        • Database:MySQL, Postgres, Elasticsearch
        • DevOps & Cloud:AWS, Kubernetes
        • Version Control:Git
        • CI/CD:Gitlab
        • Testing:Developer-driven, focus on automated unit, integration, and end-to-end tests
        • Sezzle is focused on using open source, and we build what we can before buying!

        What Makes Working at Sezzle Awesome:

        At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators. We believe in surrounding ourselves with only the best and the brightest individuals. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire.

        #Li-remote

        See more jobs at Sezzle

        Apply for this job

        +30d

        Junior Planner

        Rock KitchenLeicester,England,United Kingdom, Remote

        Rock Kitchen is hiring a Remote Junior Planner

        We're searching for a new Junior Planner to join our Strategy & Planning team.

        The right person will already have at least two years agency-side strategy experience under their belt, and be ready to put this into action and grow with us...

        A day in this role will involve:

        • Working with clients to understand their needs and help develop the right communications strategy for their target audience
        • Analysing and extracting findings from consumer, brand and market research to support brand + communication strategies and creative briefs
        • Project managing and helping facilitate quantitative and qualitative research, analysing and debriefing results
        • Supporting and championing the creative development process, including briefing and enthusing account and creative teams
        • Gathering data and preparing feedback reports on the effectiveness of campaign
        • Keeping up-to-date with macro + micro trends and insights, and industry news + views
        • Taking the lead on projects with the support of the rest of the team
        • Helping other agency teams like social, digital and PR, with input into their strategies and campaign

        The right person will:

        • Be curious and open minded
        • Ask questions and listen well
        • Always be on the hunt for new insights + human truths
        • Fascinated by human behaviour, social trends, cultures and how ideas influence people. Be able to show experience of analytical and strategic thinking
        • Understand how to apply creative thinking to business problems.
        • Champion guiding brilliant creative work to meet the brief and committed to nurturing work that does so.
        • Be numerate and able to understand, analyse, interpret and use complex and varied sources of data and statistics.
        • Be a persuasive communicator
        • Be comfortable working with research to draw the relevant conclusions.
        • Relish spotting emerging trends and be curious about ideas and new ways of looking at the world.

        There is a real buzz, excitement and a family feel about our agency and all 65 of us are passionate about what we do. As a fully remote agency, working from home (or wherever else you fancy), is our standard, but our team spirit and strong culture shines through. We frequently organise meetups to get together, share pictures of our pets and kids, and have that all important face time with colleagues and friends. Above all, after a fulfilling day’s work, people log off with a smile on their face. Looking after each other is what we’re really proud of. We believe everyone matters.

        But, this is a job ad and we get how it needs to work. Other benefits include:

        • Competitive salary based on your experience.
        • 20 days annual leave and 8 days national bank holidays plus extra time gifted around Christmas (based on full time working hours).
        • Your birthday off.
        • Time off to volunteer for local charities to give back
        • Christmas and summer parties, on us
        • Whatever computer, software, books and other materials you might need.
        • A healthy budget for training, conferences, and other qualifications you might be interested in taking.
        • Regular team social activities like axe throwing, crazy golf, bowling, going out for drinks and a curry.

        If this all sounds good to you, please get in touch!

        See more jobs at Rock Kitchen

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        +30d

        Senior Data Scientist

        redisBachelor's degreeterraformairflowsqlansibledockerkubernetespython

        ReCharge Payments is hiring a Remote Senior Data Scientist

        Who we are

        In a world where acquisition costs are skyrocketing, funding is scarce, and ecommerce merchants are forced to do more with less, the most innovative DTC brands understand that subscription strategy is business strategy.

        Recharge is simplifying retention and growth for innovative ecommerce brands. As the #1 subscription platform, Recharge is dedicated to empowering brands to easily set up and manage subscriptions, create dynamic experiences at every customer touchpoint, and continuously evaluate business performance. Powering everything from no-code customer portals, personalized offers, and dynamic bundles, Recharge helps merchants seamlessly manage, grow, and delight their subscribers while reducing operating costs and churn. Today, Recharge powers more than 20,000 merchants serving 100 million subscribers, including brands such as Blueland, Hello Bello, LOLA, Chamberlain Coffee, and Bobbie—Recharge doesn’t just help you sell products, we help build buyer routines that last.

        Recharge is recognized on the Technology Fast 500, awarded by Deloitte, (3rd consecutive year) and is Great Place to Work Certified.

        Senior Data Analyst, Product Analytics

        Recharge is positioned to support the best Direct-To-Consumer ecommerce brands in the world. We are building multiple AI-based analytic products that revolutionize how our merchants leverage insight to retain and grow their business. 


        We are looking for a data scientist who is value driven and passionate about providing actionable insights and helping to create data products that our product and growth teams can leverage. As a data scientist you will be working on both product analytics as well as advanced analytics projects working closely with data engineering and product to deliver value to our merchants through analytics and insights


        You will be responsible for preparing data for prescriptive and predictive modeling, driving hypotheses, applying stats, and developing architecture for algorithms. 


        What you’ll do

        • Live by and champion all of our core values (#ownership, #empathy, #day-one, and #humility).

        • Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions to answer. Provide feedback to translate and refine business questions into tractable analysis, evaluation metrics, or mathematical models.

        • Perform analysis utilizing relevant tools (e.g., SQL, Python). Provide analytical thought leadership through proactive and strategic contributions (e.g., suggests new analyses, infrastructure or experiments to drive improvements in the business).

        • Own outcomes for projects by covering problem definition, metrics development, data extraction and manipulation, visualization, creation, and implementation of analytical/statistical models, and presentation to stakeholders.

        • Develop solutions, lead, and manage problems that may be ambiguous and lacking clear precedent by framing problems, generating hypotheses, and making recommendations from a perspective that combines both, analytical and product-specific expertise.

        • Work independently to find creative solutions to difficult problems.

        • Effectively communicate analyses and experimental outcomes to business stakeholders, ensuring insights are presented with clear business context and relevance.

        • Write and maintain technical documentation for the data models and analytics solutions.
           

        What you'll bring

        • Bachelor's degree ,or equivalent work experience, in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.

        • 5+ years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) 

        • Preferred experience in leveraging LLMs to address business challenges, and familiarity with frameworks such as Langchain.

        • Experience developing and operating  within Snowflake

        • Expert in translating data findings to broader audiences including non-data stakeholders, engineering, and executive leadership to maximize impact

        • Preferred experience in dimensional modeling in dbt 

        • Experience working on advanced analytics models (machine learning or learning based models) that accomplish tasks such as making recommendations or scoring users.

        • Ability to demonstrate high self-sufficiency to take on complex problems in a timely manner

        • Consistently navigates ambiguous technical and business requirements while making flexible technical decisions

        • Consistently delivers technically challenging tasks efficiently with quality, speed, and simplicity

        • Payments and/or Ecommerce experience preferred


        Our Stack

        Vertex ai, Google Colab, Looker, Dbt, Snowflake, Airflow, Fivetran, CloudSQL/MySQL, Python (Pandas, NumPy, Scikit-learn) , Gitlab, Flask, Jinja, ES6, Vue.js, Saas, Webpack, Redis, Docker, GCP, Kubernetes, Helmfile, Terraform, Ansible, Nginx

        Recharge | Instagram | Twitter | Facebook

        Recharge Payments is an equal opportunity employer. In addition to EEO being the law, it is a policy that is fully consistent with our principles. All qualified applicants will receive consideration for employment without regard to status as a protected veteran or a qualified individual with a disability, or other protected status such as race, religion, color, national origin, sex, sexual orientation, gender identity, genetic information, pregnancy or age. Recharge Payments prohibits any form of workplace harassment. 

        Transparency in Coverage

        This link leads to the Anthem Blue Cross machine-readable files that are made available in response to the federal Transparency in Coverage Rule and includes network negotiated rates for all items and services; allowed amounts for OON items, services and prescription drugs; and negotiated rates and historical prices for network prescription drugs (delayed). EIN 80-6245138. This link leads to the Kaiser machine-readable files.

        #LI-Remote

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        +30d

        Data Scientist - Machine Learning

        AmpleInsightIncToronto, Canada, Remote
        python

        AmpleInsightInc is hiring a Remote Data Scientist - Machine Learning

        Job Description

        We are looking for Data Scientists who are passionate about solving real world problems. You enjoy working with both structured and/or unstructured data and are motivated to productize scalable machine learning models. Critical thinking and problem-solving skills are essential for this role.

        Qualifications

        • BS (or higher, e.g., MS, or PhD) in Computer Science or related engineering field involving coding
        • Experienced implementing and scaling machine learning models in production environments 
        • Strong understanding of machine learning theory
        • Hands on experience with Statistics
        • Capable of quickly implementing prototypes of cutting-edge research papers
        • Proficient in Python (i.e. Pandas, Numpy, scikit-learn, etc), R, TensorFlow, amongst other data science related tools and libraries
        • Analytical mind and strong business acumen

        If you're passionate about data science and is hungry to learn, please apply!

        See more jobs at AmpleInsightInc

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        +30d

        Data Scientist

        HitachiPune, India, Remote
        Master’s DegreesqlDesignazure

        Hitachi is hiring a Remote Data Scientist

        Job Description

        Job Description

        DATA SCIENCE AND ARTIFICIAL INTELLIGENCE TEAM

        This position in our company is housed in our Data Science and Artificial Intelligence Team. Joining this team represents an opportunity to fast-track your career and to work with a team of fun and nerdy colleagues in a disruptive startup atmosphere: focused on hypergrowth, moving quickly, and making mistakes in the furtherance of innovation and sound engineering.

        Armed with an existing book of business, and a stable financial parent – it is the goal of this group to transform our company into a billion-dollar product company, by focusing on engineering excellence and making the cloud easier for our customers.

        Data Scientist

        Hitachi Solutions is seeking a Data Scientist to work in our Data Science organization. This is a high-visibility, high-impact, full-time role for professionals with a proven history of operational excellence on data projects, and a leadership position in technology. Individuals applying for this role will have operational accountability for Hitachi Solution’s client-side rollouts, solution design and delivery of data science requirements to support the team. This includes machine learning modeling, statistics, and the ability to build end to end pipelines.

        As part of this group, you will be working with various modeling frameworks and techniques to support the development of supervised, unsupervised, deep learning, computer vision, text, RPA, and autonomous systems.
         

        Your Responsibilities

        • Execute. This means being constantly biased towards action, knowing the data, being in the details, setting a high bar and building strong collaborative relationships with other teams, thinking boldly, disambiguating, always thinking of the customer first, and rapidly iterating towards something demonstrably awesome.
        • Learn. Always exploring new techniques and technologies. Collaborating with team members and helping to push the practice forward.
        • Design and Deploy.  Ability to design and deploy end-to-end AI systems and pipelines
        • Communicate. Ability to communicate clearly with clients and peers.
        • Requirements Gathering. Ability to work with business to define requirements to solve business problems and translate those into solutions
        • Management. Ability to manage your time and client expectations, as well as complete quality work on time and within budget

        Qualifications

        Preferred Qualifications

        • A Master’s Degree in Computer Science, Data Science, or any other related fields; or equivalent related professional experience
        • Robust experience of working with cloud technologies such as Azure Databricks and MLflow and similar tools on the Azure stack.
        • Excellent interpersonal and communication skills enabling you to translate technical concepts for business groups, present to executive audiences or drive effective discussion with your team
        • Ability to work independently and participate in multiple diverse collaborating teams, prioritize effectively, and thrive in a fast-paced, dynamic environment
        • In-depth knowledge of various modeling algorithms e.g., regression, classification, tree-based models, deep learning, clustering, reinforcement learning, dimensionality reductions, and time series models.
        • Strong feature engineering and feature selection capabilities
        • Strong model evaluation and selection capabilities
        • Strong EDA (Exploratory Data Analysis) and visualization skills and experience/knowledge
        • Ability to understand complex and ambiguous business needs and apply the right tools and approaches.
        • Proficiency in Python/PySpark and SQL
        • Understanding of distributed systems (compute and storage)
        • Ability to build models for streaming, batch, and real-time serving

        Apply for this job

        +30d

        Data Scientist II

        Master’s DegreeBachelor's degreesqlc++python

        Oscar Health is hiring a Remote Data Scientist II

        Hi, we're Oscar. We're hiring a Data Scientist II to join our team.

        Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family.

        Insurance companies sit on a trove of data that is both broad and deep, spanning financial claims, clinical medical records, and rich product interaction data from our members. Connecting the dots across these datasets gives us unique insight into how the healthcare system functions and allows us to improve care coordination, better manage risk, build higher-performing provider networks, and create a standout consumer experience.

         

        About the role

        Oscar is restructuring health care to make it easy, affordable, and seamless for consumers to access high value care. Oscar’s data team is focused on pushing our understanding of this complex landscape. Insurance companies sit on a trove of data that is both broad and deep, spanning financial claims, clinical medical records, and rich product interaction data from our members. Connecting the dots across these datasets gives us unique insight into how the healthcare system functions and allows us to improve care coordination, better manage risk, build higher-performing provider networks, and create a standout consumer experience in our product. At Oscar, we are looking for bright and curious data minded individuals to join our team of 50+ researchers, data scientists, and analysts to leverage our efforts!

        As a Data Scientist II, you will be responsible for measuring the impact of provider data accuracy and collaborating with product management and other stakeholders to generate and test hypotheses aimed at improving data quality. You will quantify the impact of provider data accuracy on key areas such as claims payments and member experience, while partnering with stakeholders to address ambiguous, high-impact problems.

        You will report into a Senior Data Scientist. 

         

        Work Location

        Oscar is a blended work culture where everyone, regardless of work type or location, feels connected to their teammates, our culture and our mission.

        If you live within commutable distance to our New York City office (in Hudson Square), our Tempe office (off the 101 at University Ave), or our Los Angeles office (in Marina Del Rey), you will be expected to come into the office at least two days each week. Otherwise, this is a remote / work-from-home role.

        You must reside in one of the following states: Alabama, Arizona, California, Colorado, Connecticut, Florida, Georgia, Illinois, Iowa, Kansas, Kentucky, Maine, Maryland, Massachusetts, Michigan, Minnesota, Missouri, Nevada, New Hampshire, New Jersey, New Mexico, New York, North Carolina, Ohio, Oregon, Pennsylvania, Rhode Island, South Carolina, Tennessee, Texas, Utah, Vermont, Virginia, Washington, or Washington, D.C. Note, this list of states is subject to change. #LI-Remote

         

        Pay Transparency

        The base pay for this role is: $131,200 - $172,200 per year. You are also eligible for employee benefits, participation in Oscar’s unlimited vacation program, company equity grants, and annual performance bonuses.

        You must be currently authorized to work in the United States on a full-time basis. Oscar will not sponsor applicants for this role.

        Responsibilities:

        • Responsible for the creation, implementation, and maintenance of data pipelines. This includes ensuring the accuracy, reliability, and timeliness of data flow without significant manager oversight.
        • Develop new models while maintaining and enhancing our existing capabilities. This involves regular model testing, validation, and refinement to ensure the models remain effective and up-to-date with the latest industry standards and practices while identifying new opportunities to extend functionality where appropriate.
        • Develop advanced analytics and validation checks on data and statistical model outputs without significant manager oversight. This includes identifying potential issues, anomalies, or inconsistencies in the data, and implementing corrective measures to ensure the integrity of our models and analyses.
        • Collaborate closely with data leaders and business teams to enhance overall data processes and establish analytical frameworks to answer ambiguous and broadly scoped questions. This involves understanding their needs and requirements, providing them with the necessary data support, and working together to develop strategies and solutions that improve our processes and outcomes.
        • Compliance with all applicable laws and regulations.
        • Other duties as assigned.

        Requirements:

        • A bachelor's degree and 3+ years of industry or educational experience in a technical field.
        • 3+ years of work experience working with SQL, R, and/or Python to query, manipulate and analyze data
        • 3+ years experience building data models and using more advanced analytics methods, including conducting in depth analysis, rather than simple descriptive analysis

        Bonus points:

        • Master’s degree in a technical field
        • Experience deploying a machine learning model in production
        • Knowledge of standard machine learning methods
        • Experience building dashboards
        • Experience in the healthcare, insurance and/or finance industries

         

        This is an authentic Oscar Health job opportunity. Learn more about how you can safeguard yourself from recruitment fraudhere

        At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives.

        Pay Transparency: Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience.Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements.

        Reasonable Accommodation:Oscar applicants are considered solely based on their qualifications, without regard to applicant’s disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team (accommodations@hioscar.com) to make the need for an accommodation known.

        California Residents: For information about our collection, use, and disclosure of applicants’ personal information as well as applicants’ rights over their personal information, please see our Notice to Job Applicants.

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        +30d

        Senior Data Scientist

        Agile SixUnited States, Remote
        ML9 years of experienceagileDesignazurec++python

        Agile Six is hiring a Remote Senior Data Scientist

        Agile Six is a people-first, remote-work company that serves shoulder-to-shoulder with federal agencies to find innovative, human-centered solutions. We build better by putting people first. We are animated by our core values of Purpose, Wholeness, Trust, Self-Management and Inclusion. We deliver our solutions in autonomous teams of self-managed professionals (no managers here!) who genuinely care about each other and the work. We know that’s our company’s purpose – and that we can only achieve it by supporting a culture where people feel valued, self-managed, and love to come to work.

        The role

        Agile Six is seeking aSenior Data Scientistto join an agile, cross functional team supporting the Federal Government customers in creating AI-enabled solutions to create better services for beneficiaries, patients, and employees, reduce healthcare provider burnout, and improve care quality. Our team will work closely with the client to identify key challenges, conduct research, and develop AI-driven solutions including machine learning models and AI tools. We will integrate these into existing systems while adhering to strict data security and ethical AI guidelines. This role will be hands-on using commercial and open source LLMs, Prompt Engineering, RAG architectures, and other machine learning tools.

        Please note, this position is anticipated, pending contract award response.

        Responsibilities

        • Assessing AI-enabled approaches to specific problems is appropriate. Advising stakeholders where AI-enabled approaches may and may not be appropriate.
        • Evaluating and selecting specific Machine Learning (ML)-based approaches.
        • Developing solution prototypes and minimum viable products for testing with users.
        • Conducting research with stakeholders to engineer prompts for large language model (LLM)-based tools
        • Customizing commercial LLMs to meet the needs of VA employees, including tuning, prompt engineering, and integration with existing VA systems.
        • Support the practice of data science within the larger company as needed through activities such as:
          • Assisting in outreach, recruitment, and hiring efforts
          • Occasionally participating in or otherwise supporting business development efforts, including code or design challenges, writing or reviewing proposal responses, etc.
          • Participating in communities of practice
        • We expect the responsibilities of this position to shift and grow organically over time, in response to considerations such as the unique strengths and interests of the selected candidate and other team members and an evolving understanding of the delivery environment.

        Basic qualifications

        • Experience implementing LLM based applications or services; including model and toolchain selection.
        • Experience enhancing LLMs with external knowledge bases or databases, and fine-tuning pre-trained LLMs on domain-specific data or tasks, improving their performance and accuracy for specialized use cases.
        • 9 years of experience in data science and machine learning.
        • Knowledge of cloud platforms for machine learning; including SageMaker and Azure Machine Learning.
        • Experience with Machine Learning and Deep Learning Algorithms, and applying them to production solutions.
        • Familiarity with privacy-preserving tools and handling PII.
        • Excellent communication skills, ability to document and present complex technical options and trade-offs to engineering and non-technical audiences.
        • Experience in an open-source, collaborative development environment
        • Ability to be autonomous, take initiative, and effectively communicate status and progress
        • Adaptive, empathetic, collaborative, and holds a positive mindset
        • Has lived and worked in the United States for 3 out of the last 5 years
        • Some of our clients may request or require travel from time to time. If this is a concern for you, we encourage you to apply and discuss it with us at your initial interview

        Additional desired qualifications

        • Experience working with healthcare terminology standards, e.g. ICD-10, CPT, LOINC, RxNorm, SNOMED
        • Experience working with government agencies
        • You are a U.S. Veteran. As a service-disabled veteran-owned small business, we recognize the transition to civilian life can be tricky, and welcome and encourage Veterans to apply

        At Agile Six, we are committed to building teams that represent a variety of backgrounds, perspectives, and skills. Even if you don't meet every requirement, we encourage you to apply. We’re eager to meet people who believe in our mission and who can contribute to our team in a variety of ways.

        Salary and Sixer Benefits

        To promote equal pay for equal work, we publish salary ranges for each position.

        The salary for this position is $163,506 - $171,891. 

        Our benefits are designed to reinforce our core values of Wholeness, Self Management and Inclusion. The following benefits are available to all employees. We respect that only you know what balance means for your life and season. While we offer support from coaches, we expect you to own your wholeness, show up for work whole, and go home to your family the same. You will be seen, heard and valued. We expect you to offer the same for your colleagues, be kind (not controlling), be caring (not directive) and ready to participate in a state of flow. We mean it when we say “We build better by putting people first”.

        All Sixers Enjoy:

        • Self-managed work/life balance and flexibility
        • Competitive and equitable salary (equal pay for equal work)
        • Employee Stock Ownership (ESOP) for all employees!
        • 401K matching
        • Medical, dental, and vision insurance
        • Employer paid short and long term disability insurance
        • Employer paid life insurance
        • Self-managed and generous paid time off
        • Paid federal holidays and Election day off
        • Paid parental leave
        • Self-managed professional development spending
        • Self-managed wellness days

        Hiring practices

        Agile Six Applications, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, national origin, ancestry, sex, sexual orientation, gender identity or expression, religion, age, pregnancy, disability, work-related injury, covered veteran status, political ideology, marital status, or any other factor that the law protects from employment discrimination.

        Note: We participate in E-Verify. Upon hire, we will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. Unfortunately, we are unable to sponsor visas at this time.

        If you need assistance or reasonable accommodation in applying for any of these positions, please reach out to careers@agile6.com. We want to ensure you have the ability to apply for any position at Agile Six.

        Please read and respond to the application questions carefully. Interviews are conducted on a rolling basis until the position has been filled.

         

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        +30d

        Data Scientist

        ProArchHyderabad,Telangana,India, Remote
        MLsqlDesignpython

        ProArch is hiring a Remote Data Scientist

        ProArch is on the lookout for a talented Data Scientist to enhance our innovative team. The successful candidate will be responsible for designing and implementing predictive models, analyzing complex datasets, holds working knowledge of statistics, mathematics, and data science programming languages (e.g., SQL, R, Python), and have executed multiple projects taking ML concepts to production. 

        Your primary responsibilities will be performing statistical analyses, running custom SQL queries, and identifying patterns and trends that can improve the efficiency and usability of our products and services. You will also be expected to maintain and improve our data infrastructure and tools. Data Scientists are also expected to have good working knowledge and understanding of data engineering techniques, ETL, and ELT.

        Key Responsibilities:

          • Work with stakeholders to identify key metrics and opportunities for improving business processes, products, and services.
          • Perform EDA (exploratory data analysis)
          • Expertise in NLP and NLG.
          • Good knowledge and understanding of LLM and its techniques, like RAG, RLHF, Prompt Tuning, etc. 
          • Good understanding of ML Ops, LLM Ops, and/or FM Ops.
          • Build, deploy, and maintain data management systems and back-end data infrastructure for our business intelligence pipeline.
          • Create data visualizations, reports, dashboards, and data audits.
          • Design, train, and implement machine learning algorithms.
          • Leveraging techniques like the ensemble to create high-performing ML Models.
          • Bachelor's degree in data science, data analytics, or related field
          • Master's degree or Ph.D. in a quantitative field, such as statistics, computer science, mathematics, or engineering
          • Proficiency in Python, R, C#, Java, or Kotlin
          • Knowledge of data science toolkits such as R, NumPy, and MatLab
          • Experience with big data analytics technologies such as Spark/Databricks and Hadoop
          • Experience with data visualization tools such as PowerBI and Tableau
          • Expertise in data mining and machine learning
          • Working knowledge of statistical models and business intelligence
          • Familiarity with cloud-based infrastructure
          • Ability to store and process unstructured data with NoSQL databases and machine learning models

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