​​About the Role:

As a Lead Data Scientist at Hims & Hers, you will be responsible for identifying opportunities to apply data science and machine learning techniques to improve our marketing, products and processes. You will partner cross-functionally with Analytics, Product, Marketing and Operations to run deep-dive analysis, and build data products. You will partner with analysts, machine learning engineers, and others to build and implement data products that help advance our mission to eliminate stigmas and break down barriers to healthcare access.

You’ll be a leader who has a passion for driving business impact through data science, has strong communication skills, and enjoys doing hands-on work with a deep and broad technical toolset. If you are excited about being part shaping the growing data science organization at Hims & Hers and using data science to disrupt the healthcare industry through innovative solutions– this is the role for you!

You Will:

• Provide technical guidance and thought leadership on data science methodologies, tools, and best practices
• Identify opportunities to apply data science and machine learning solutions across marketing and product, and operations
• Create data science roadmaps that accelerate hims & hers business goals
• Drive projects in areas like marketing optimization, customer segmentation, lifetime value and retention prediction, importance modeling of early customer interactions, and revenue forecasting
• Partner with engineers and business stakeholders to design, develop and deploy ML products end-to-end to drive business outcomes
• Empower the Data Science team through mentorship and collaborative efforts, actively pursuing opportunities to foster cross-team knowledge expansion and mentorship initiative

You Have:

• 10+ years working in Engineering and/or Data Science with a record of building ML models that have a measurable impact on the business
• The ability to deliver business impact in the context of ambiguity and evolving priorities to technical and non-technical stakeholders 
• Ability to develop technical roadmaps for solving complex business problems
• Excellent communication skills and ability to work effectively with both technical and non-technical partners
• Experience developing and putting models into production, while also owning and maintaining production models long-term
• Ability to manipulate large datasets with high dimensionality and complexity; proficiency in SQL and Python 
• Proficiency with ML tools such as pandas, sklearn, PyTorch, or TensorFlow
• MS or PhD degree in Data Science, Statistics, Computer Science, Applied Mathematics, Operations Research, or related field

Our Benefits (there are more but here are some highlights):

• Competitive salary & equity compensation for full-time roles
• Unlimited PTO, company holidays, and quarterly mental health days
• Comprehensive health benefits including medical, dental & vision, and parental leave
• Employee Stock Purchase Program (ESPP)
• Employee discounts on hims & hers & Apostrophe online products
• 401k benefits with employer matching contribution
• Offsite team retreats

#LI-Remote

About the Role

The Merchandise Planner will be responsible for developing, executing and maintaining merchandise plans for the Men’s Bottoms business. You will report to a Planning Director and have exposure to Planning & Merchandising Leadership as well as other senior level cross-functional partners. In addition to business management, you will drive forward strategic initiatives with outsized impact across the Planning team, Company-level innovations and our clients. Our ideal candidate will be a self-starting, sharply analytical problem-solver with proven planning acumen and the ability to adapt to the Stitch Fix business model.

You're excited about this opportunity because you will…

• Ensure the success of the Men’s Bottoms department by meeting or exceeding plans for sales volume, inventory turnover and gross margin, across multiple Revenue channels
• Deeply analyze and drive performance across Fix & Freestyle channels 
• Create pre-season plans and in-season forecasts for multiple product departments 
• Manage and maintain rolling operating financial forecast (OTB/ROF) in collaboration with buyers to optimize business performance 
• Recap and analyze actual sales results to plan and forecast in-season sales and inventories on a weekly, monthly and quarterly basis
• Forecast receipt flow to ensure optimal inventory levels that balance liability and opportunity while delivering an excellent client experience   
• Assess and evaluate inventory risks and opportunities 
• Responsible for in-season scenario planning as well as actionable recommendations to address business needs 
• Form strong working relationships with Buying team 
• Partner directly with Allocation, Operations, Engineering and Data Science teams 
• Perform ad-hoc analysis based on historical performance, product attributes and customer attributes

We’re excited about you because…

• You have a college degree (preferably a BS in a business-related field) with 5-7 years of prior retail planning and e-commerce experience 
• You are extremely proficient in Microsoft Office with advanced Excel skills 
• You have strong planning and organizational skills 
• You are experienced in tops-down, bottoms-up planning 
• You are comfortable and confident making decisions and recommendations grounded in data 
• You are able to thrive in a fast-paced, ambiguous environment that embraces change 
• You have a bias towards action, results-focused and detail oriented 
• You possess excellent verbal and written communication skills 
• You have a solid understanding of retail math, merchandising financials and profitability KPIs

Why you'll love working at Stitch Fix...

• We are a group of bright, kind people who are motivated by challenge. We value integrity, innovation and trust. You’ll bring these characteristics to life in everything you do at Stitch Fix.
• We cultivate a community of diverse perspectives— all voices are heard and valued.
• We are an innovative company and leverage our strengths in fashion and tech to disrupt the future of retail. 
• We win as a team, commit to our work, and celebrate grit together because we value strong relationships.
• We boldly create the future while keeping equity and sustainability at the center of all that we do. 
• We are the owners of our work and are energized by solving problems through a growth mindset lens. We think broadly and creatively through every situation to create meaningful impact.
• We offer comprehensive compensation packages and inclusive health and wellness benefits.

Company Overview:

Cohere Health is a fast-growing clinical intelligence company that’s improving lives at scale by promoting the best patient-specific care options, using cutting-edge AI combined with deep clinical expertise. In only four years our solutions have been adopted by health plans covering over 15 million lives, while our revenues and company size have quadrupled.  That growth combined with capital raises totaling $106M positions us extremely well for continued success. Our awards include: 2023 and 2024 BuiltIn Best Place to Work; Top 5 LinkedIn™ Startup; TripleTree iAward; multiple KLAS Research Points of Light awards, along with recognition on Fierce Healthcare's Fierce 15 and CB Insights' Digital Health 150 lists.

Opportunity Overview:

We are looking for innovative and creative individuals who seize opportunities to uncover hidden drivers, impacts, and key influences to support our product, leadership and clinical teams by applying optimization and statistical methods on a variety of data. You will work closely with the clinical program and product teams to support decision-making and will dig into a wide range of strategic and clinical problems. 

As a growing organization, we have built a team of talented and experienced people who are passionate about helping providers and patients and this is a position that offers the ability to make a substantial impact on the company with rapid growth opportunities. You will be part of a growing data science team within the technology organization. 

Last but not least: People who succeed here are empathetic teammates who are candid, kind, caring, and embody our core values and principles. We believe that diverse, inclusive teams make the most impactful work. Cohere is deeply invested in ensuring that we have a supportive, growth-oriented environment that works for everyone.

What you will do:

• Play a key role in gathering business requirements, using them for trend analysis and uncovering actionable insights, and writing technical requirements; using a variety of analytic tools 
• Perform in-depth analysis of healthcare data coupled with data from product and other sources to independently design, develop, and deliver analytic deliverables that meet quality, cost and service objectives 
• Leveraging data from various sources, e.g., eligibility, medical, pharmacy claims, and data submitted by providers via the prior authorization process, working with Clinical Programs to analyze and simulate expected impact and ROI, e.g., medical expense, administrative cost, improved quality and outcomes 
• Present information using data visualization techniques and propose solutions and strategies to business challenges

Your background & requirements:

• 2+ years analytical experience at company where health outcomes were critical to the mission, preferably a healthcare analytics company or population health organization Proficient in current modeling approaches, standard scientific methods for intervention based analysis, trend identification, and data analytics 
• Strong experience using a variety of data mining/data analysis methods, utilizing a variety of analytic tools, building and implementing models, creating algorithms and running simulations 
• Experience with programming languages (Python, R, PySpark, Scala and/or Spark SQL) 
• Strong interest and understanding of EMR data, Claims and SDOH data 
• Experience with data visualization tools such as Tableau and Kibana, preferred
• Bachelor’s or Master’s degree in STEM, public health, biostatistics, economics, or other related field

We can’t wait to learn more about you and meet you at Cohere Health!

Equal Opportunity Statement: 

Cohere Health is an Equal Opportunity Employer. We are committed to fostering an environment of mutual respect where equal employment opportunities are available to all.  To us, it’s personal.

The salary range for this position is $90,000 to $110,000 annually; as part of a total benefits package which includes health insurance, 401k and bonus. In accordance with state applicable laws, Cohere is required to provide a reasonable estimate of the compensation range for this role. Individual pay decisions are ultimately based on a number of factors, including but not limited to qualifications for the role, experience level, skillset, and internal alignment.

#LI-Remote

#BI-Remote

Company Overview:

Cohere Health is a fast-growing clinical intelligence company that’s improving lives at scale by promoting the best patient-specific care options, using leading edge AI combined with deep clinical expertise. In only four years our solutions have been adopted by health insurance plans covering over 15 million people, while our revenues and company size have quadrupled.  That growth combined with capital raises totaling $106M positions us extremely well for continued success. Our awards include: 2023 and 2024 BuiltIn Best Place to Work, Top 5 LinkedIn™ Startup, TripleTree iAward, multiple KLAS Research Points of Light, along with recognition on Fierce Healthcare's Fierce 15 and CB Insights' Digital Health 150 lists.

Opportunity Overview:

We are looking for innovative and creative individuals who seize opportunities to uncover hidden drivers, impacts, and key influences to support our product, leadership and clinical teams by applying optimization and statistical methods on a variety of data. You will work closely with the clinical program and product teams to support decision-making and will dig into a wide range of strategic and clinical problems. 

As a growing organization, we have built a team of talented and experienced people who are passionate about helping providers and patients and this is a position that offers the ability to make a substantial impact on the company with rapid growth opportunities. You will be part of a growing data science team within the technology organization. 

Last but not least: People who succeed here are empathetic teammates who are candid, kind, caring, and embody our core values and principles. We believe that diverse, inclusive teams make the most impactful work. Cohere is deeply invested in ensuring that we have a supportive, growth-oriented environment that works for everyone.

What you will do:

• Work as part of a cross-functional team to develop project requirements, identifying data collection sources for project needs. Responsible for milestone setting from a data science perspective 
• Develop research questions and undertake data exploration to understand who our product users are, how they get value out of Cohere, and where we can develop our product to bring greater value and simplify healthcare 
• Perform in-depth analysis of healthcare data coupled with data from product and other sources to independently design, develop, and deliver analytic deliverables that meet quality, cost and service objectives 
• Leveraging data from various sources, e.g., eligibility, medical, pharmacy claims, and data submitted by providers via the prior authorization process, working with Clinical Programs to analyze and simulate expected impact and ROI, e.g., medical expense, administrative cost, improved quality and outcomes 
• Present information using data visualization techniques and propose solutions and strategies to business challenges

Your background & requirements:

• 5+ years analytical experience at company where health outcomes were critical to the mission, preferably a healthcare analytics company or population health organization
• Proficient in current modeling approaches, standard scientific methods for intervention based analysis, trend identification, and data analytics 
• Strong experience using a variety of data mining/data analysis methods, utilizing a variety of analytic tools, building and implementing models, creating algorithms and running simulations 
• Experience with programming languages (Python, R, PySpark, Scala and/or Spark SQL)
• Strong interest and understanding of EMR data, Claims and SDOH data 
• Experience with data visualization tools such as Tableau and Kibana, preferred 
• MSc or higher degree in a data science/ analytics, statistics, mathematics related field
• Experience with Amazon AWS cloud platform 
• Experience with ElasticSearch 
• Experience with graph database preferred

We can’t wait to learn more about you and meet you at Cohere Health!

Equal Opportunity Statement: 

Cohere Health is an Equal Opportunity Employer. We are committed to fostering an environment of mutual respect where equal employment opportunities are available to all.  To us, it’s personal.

The salary range for this position is $120,000 to $145,000 annually; as part of a total benefits package which includes health insurance, 401k and bonus. In accordance with state applicable laws, Cohere is required to provide a reasonable estimate of the compensation range for this role. Individual pay decisions are ultimately based on a number of factors, including but not limited to qualifications for the role, experience level, skillset, and internal alignment.

#LI-Remote

#BI-Remote

????London | UK remote | 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 engagement 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 10 million customers in the UK, with over 200,000 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 

You’ll work closely with product and engineering managers, designers and researchers in an agile product environment. You’ll champion the use of data, bring ideas to life through rigorous experimentation and A/B testing. You’ll help us get the most out of volumes of native data in our cloud platform, spotting opportunities to make our product work even better for our users. Through your product squad, you will drive product innovation and you’ll get to see the impact of all your work in the product changes we make.

Your day-to-day   

• Applying your expertise in analytics, data science, and the data storytelling to see beyond the numbers and understand how our users interact with our products and communications and how those insights can inform our communication strategy
• Guide and enable our Product teams to measure things that matter; initiate or help run A/B experiments to keep improving everything we do
• Drive together with the finance team a unified company-wide understanding of the lifetime value of our users and how different communication approaches are impacting user activation, engagement and profitability
• 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, Looker, and preferably Python
• You have 3-4 years of experience in conducting large scale A/B experiments, preferably as part of broader product teams. 
• You have excellent presentation and communication skills andget excited to turn data into stories accessible for stakeholders. 

The Interview Process:

Our interview process involves three main stages: 

1. Chat with a recruiter
2. Initial Call with the Hiring Manager 
3. A take home task  
4. Final interviews 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:

• ✈️ 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 between L4 (Data Scientist) and L5 (Sr. Data Scientist). 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

• 4+ 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 adorability 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

????London | UK remote | 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 ourData ScienceTeam:

We're looking for a Senior Product Data Scientist excited to help build the bank of the future. You'll have the opportunity to super charge our user engagement in 2023 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 four and half 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 1 product squad alongside engineers, designers, marketers, product managers etc.

Your day-to-day   

• Applying your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our users interact with our products and how those insights can inform our product strategy
• Guide and enable product teams to measure things that matter; initiate or help run A/B experiments to keep improving everything we do
• Drive together with the finance team a unified company-wide understanding of the lifetime value of our users and how different product features are impacting user profitability
• 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'reimpact drivenand eager to have a real positive impact on the company, product, users and very importantly your colleagues as well
• You'recommercially mindedand can put numbers into business perspective
• You’re as comfortablegetting hands-onas taking a step back andthinking strategically
• You have aself-starter mindset;you proactively identify issues and opportunities and tackle them without being told to do so
• You're ateam playerwhom your colleagues can rely on
• You havesolid grounding in SQLand 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. Take home task  
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 ontech-hiring@monzo.com 

What’s in it for you:

✈️ 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 benefitshere

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

????London | UK remote | Benefits | Hear from the team

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 

You will work together with a cross functional team (PM, UX/design, Engineering and of course other Data Scientists, Analysts and Analytics Engineers) to make Monzo the place where customers move, send and receive money in a way that feels magical!  Our ambition is to be the customer’s `top of wallet` card to pay in person, online, and while travelling.  We think Payments should be engaging, trustworthy, and remarkably simple.

Your day-to-day   

• Applying your expertise in analytics, data science, and data storytelling  to build a comprehensive understanding of our customers, identifying their needs and behaviours to improve product offerings and customer experience.
• Utilise existing data to support and inform customer research, enhancing insights and guiding strategic decisions.
• Guide and enable Payments teams to measure things that matter; ensure our business metrics are appropriate and that our event tracking is robust enough to power insights into customer behaviours.
• Initiate or help run A/B experiments to keep improving everything we do
• 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, Looker, and preferably Python
• You have experience in conducting large-scale A/B experiments, ideally those focused on driving user engagement in mobile applications or bring deep expertise of the payments domain.
• You have excellent presentation and communication skills and get excited to turn data into stories accessible for stakeholders.

The Interview Process:

Our interview process involves three main stages: 

1. Chat with a recruiter
2. Initial Call with the Hiring Manager 
3. A take home task  
4. Final interviews 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:

✈️ 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

The team: 

The decision science team is part of the product and engineering team.

The team works together to provide data-based guidance and metrics to inform product strategy by developing quantitative research projects. You'll have an opportunity to interact directly with our Product, Design, and Business teams to surface critical topics, identify innovative practices, and develop high-impact solutions that create great user experiences and advance the state-of-the-art in user experience research.

The opportunity 

We are looking for a Data Scientist to help us to define and measure

quantitative Product/UX goals and metrics in collaboration with Product Managers, Qualitative Researchers, Designers, and Engineers. 

What you will be doing:

• Drive quantitative research and statistical modeling to improve user experience and product results.
• Leverage data to find actionable insight of strategic importance to UserTesting and practical value to customers
• Communicate analyses and results in ways that are accessible, relevant, and meaningful to a diverse audience
• Create and support a data-driven culture among company decision makers.

What we are looking for

• Strong working knowledge of research methodology and statistical techniques including experimentation, statistical inference, and machine learning
• Experience performing advanced data analytics in a business, academic, or related context (e.g., high-tech, market research, management consulting, operations research, finance, etc.)
• Ability to explain value of different analytic methods, and the output of data analyses, to non-technical audiences, including executives and managers
• A broad perspective combined with a strong focus on details
• Deep curiosity and love of problem solving
• Bachelor's degree with relevant industry experience
• Professional experience in an applied research setting or product analytics, preferably in Consumer or B2B software.
• SQL, Python (or R) for data analysis and visualization, version control (git)
• Experience or knowledge of one or more of the following: User experience research, product analytics, applied behavioral science, applied machine learning (regression models, clustering, time series prediction)

What we offer: 

• Employee Assistance Program (EAP)
• Employee Referral Program
• Professional Development Stipend
• Remote work stipend
• Wellness reimbursement
• Volunteer days
• Life Assurance

Vidyard is the video platform that's built for business. Sales reps, marketers, and corporate communicators use Vidyard to record and share videos that grab attention and deliver their message in a personal, impactful way. It's the video tool of choice for Microsoft, LinkedIn, and thousands of other companies. We're passionate about elevating our customers, our teammates, our communities, and ourselves.

About the Role

Data Science at Vidyard is aimed at using data, analytics, and sciences to improve various aspects of our business. We are looking for a Senior Data Scientist to join our Research and Development team, leading experimentation and advanced data science needs. This role will be partnering closely with our Product, Go to Market and Finance stakeholders to drive data informed decisions by building predictive models, conducting statistical analysis and deriving business insights. This is a unique opportunity to have a high level of impact by establishing the data science discipline at a growing company.

This is a remote role open to candidates located inCanada.

What You’ll Work On

• Lead the design, analysis, and interpretation of experiments that shape decision-making for the Vidyard strategy
• Lead the design, development, and implementation of advanced statistical models and machine learning algorithms
• Analyze large, complex datasets to identify trends, patterns, and opportunities for growth and optimization
• Drive and implement high impact projects end to end
• Partner with our Vidyard stakeholders (Product, Finance, RevOps and Engineering) on advanced analytic initiatives (e.g., prediction modeling, causal inference, experimentation etc)
• Present your research and insights to executive stakeholders
• Work with business stakeholders to connect analysis to key decisions that affect the business to influence and drive impact
• Balance handling ad hoc requests while also driving larger projects forward

What You’ll Bring to this Role and Your New Team:

• 7+ years of experience in data science with a strong background in statistical modelling, machine learning, and data analysis
• Master’s or PhD in Data Science, Statistics, Computer Science, Mathematics, or a related field.
• You have statistical skills utilized in A/B testing, analyzing observational data, and statistical modelling
• You are comfortable working with large data sets and analyzing complex data with SQL and other tools such as AWS Redshift, DBT and Cube.
• You have good business acumen on product innovations and excellent problem solving skills to translate business requirements to data science problems
• You have a strong bias to action, delivering results quickly with iteration instead of waiting for perfection
• You are a fast learner and are comfortable with ambiguous requests
• You have exceptional communication skills and can manage stakeholder priorities directly

Job descriptions can be overwhelming. At Vidyard we are motivated to drive change togetherand deeply value the unique experiences, abilities and opinions you possess, so if this role sounds like your next adventure, but you don’t feel entirely qualified, apply! We value candidates who own it, and if you’re relentlessly resourceful too, you might be exactly who we are looking for. 

As we also value user obsession, we prioritize our users, customers and community so you can expect to hear from our team even if you are not selected to move forward.

What You’ll Love about Vidyard:

• Competitive pay
• Comprehensive, flexible benefits on day one*
• Wellness allowance to spend on what's important to you 
• Flexible hours + unlimited vacation + programs to support travel while working, enabling you to live your best life
• Access to Inkblot, a digital mental health platform + $1,500/person/year for mental health coverage*
• Allowance to support your ongoing growth and development
• Parental leave top-up
• Paid volunteer hours
• Employee resource groups to empower and drive change at Vidyard and in our communities
• RRSP match*
• Stock options
• Flexible holiday program
• Home office stipend 
• Flexibility to work in the place that brings out your best: whether you thrive in the comfort of your home office, or are local to, and prefer the energy of our collaboration space in Kitchener, Ontario, Canada, there is flexibility for all.  Although we default to remote-first there will be occasional in-person meetings/events purposefully designed for connection and collaboration.

*Benefits described are Canadian specific, if you’re located in another country our People team will speak with you about localized benefits for you.

Vidyard is an equal opportunity employer. Applicants who require reasonable accommodation to complete the application and/or interview process should notify us atrecruitment@vidyard.com. Unsolicited resumes from Agencies will not be accepted.

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

Oscar is the first health insurance company built around a full stack technology platform and a 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.

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 Senior Data Scientist, you will collaborate closely with our product and operations teams to understand and quantify the user experience for Oscar members and providers. You will drive projects aimed at enhancing the user experience through modeling, advanced analytics and data-driven insights.

You will report to a Director, Data Science

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 Dr), 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: $158,400 - $207,900 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

• Works with team and manager to impact longer term strategies and roadmap
• Sets shorter term roadmap for team
• May manage data scientists and/or analysts
• Interacts and collaborates closely with data and business counterparts across functional areas
• Researches, develops, and maintains data pipelines, statistical/ML models, and/or advanced analyses
• Compliance with all applicable laws and regulations
• Other duties as assigned

Qualifications

• 4+ years of industry or other quantitative technical fields (which may include academia).
• 3+ years of work experience working with SQL, R, and/or Python to query, manipulate and analyze data
• 3+ years experience building data models, using more advanced analytics methods, statistical modeling, and/or data processing

Bonus Points

• Advanced degree in a quantitative or technical field
• Experience in the healthcare, finance and/or insurance industries