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

????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

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

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

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

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

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

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

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.