Senior Data Scientist (Identity & Attribution)

We are Rokt, a hyper-growth ecommerce leader. Rokt is the global leader in ecommerce, unlocking real-time relevance in the moment that matters most. Rokt’s AI Brain and ecommerce Network powers billions of transactions connecting hundreds of millions of customers, and is trusted to do this by the world’s leading companies.

We are a team of builders helping smart businesses find innovative ways to meet customer needs and generate incremental revenue. Leading companies drive 10-50% of additional revenue—and often all their profits—from the extra products or services they sell. This economic edge unleashes a world of possibilities for growth and innovation.

The Rokt engineering team builds intelligent infrastructure and platforms that power mission-critical services. At this scale, excellence in reliability, performance, and developer experience is non-negotiable.

At Rokt, we practice transparency in career paths and compensation. At Rokt, we believe in transparency, which is why we have a well-defined career ladder with transparent compensation and clear career paths based on competency and ability. Rokt’stars constantly strive to raise the bar, pushing the envelope of what is possible.

We are looking for a Senior Data Scientist (Identity & Attribution)

Total Compensation between: $300,000-$375,000, which includes a fixed annual salary between $200,000 - $250,000, employee equity plan grant & world class benefits.

Equity grants are issued in good faith, subject to company policies, board approval, and individual eligibility.

About the Role:

As a Senior Data Scientist on the Identity team, you’ll play a critical leadership role in building scalable systems and models that power identity and attribution — tackling problems like entity resolution, data enrichment, and real-time user matching. You will drive data-driven strategies, lead complex analyses for entity resolution, and collaborate cross-functionally to enhance the quality, effectiveness, and scalability of our identity systems.

• Spearhead complex analyses applying advanced statistical methods and machine learning techniques to large-scale identity data, uncovering actionable insights to to significantly improve the effectiveness and quality of our attribution and user graph systems, including but not limited to identity.
• Independently identify, scope, and champion high-impact opportunities for innovation within the identity space, developing novel analytical approaches and data-driven strategies.
• Test and run experiments to determine impact on model relevancy.
• Define key metrics for tracking the health and performance of identity systems; Design, build, and maintain robust data pipelines to support machine learning model deployment and large-scale data processing for identity use cases
• Conduct proactive analysis, modeling, and automation of improvements to entity resolution  in areas such as geography, linkage,  fraud detection, and risk assessment. 
• Partnering closely with product and engineering teams to develop the strategy for evolving our identity graph.
• Lead high-impact projects from ideation through implementation and completion, mentoring junior team members and ensuring alignment with business objectives.

Requirements

About You:

• 6+ years of industry experience as a Data Scientist (or 3+ years with a PhD), including significant work with identity, fraud, or security data
• Master’s degree in Statistics, Econometrics, Machine Learning, or related fields.
• Demonstrated project leadership, mentorship, and ability to tackle highly ambiguous technical and business problems
• Strong knowledge of  online AB testing and experimentation
• Strong knowledge of Python 3 (data science libraries) and SQL; 
• Experience with distributed computing frameworks, particularly Spark is preferred
• Experience with Kubeflow is preferred
• Understands prompts for AI and is comfortable with using AI to improve day to day productivity
• Experience with large-scale data science projects in identity, attribution, fraud, or related areas (e.g., authentication, user verification, risk scoring, graph-based linking)
• Strong analytical / modeling experience tied to business outcomes
• Applied use of visualization tools such as matplotlib, seaborn, tableau, Python visual libraries
• Experience with common Python data science libraries such as pandas, numpy and scipy
• Experience with relational databases such as Postgres, MySQL and/or SQL Server

Benefits

About Rokt’stars:

As a mission-driven, hyper-growth community of curious explorers, our ambition is to unlock real-time relevancy in ecommerce and beyond. Our bias for action means we are not afraid to quickly venture into uncharted territories, take risks, or challenge the status quo; in doing so we either win or learn. We work together as one aligned team never letting egos get in the way of brilliant ideas. We value diversity, transparency, and smart humble people who enjoy building a disruptive business together. We pride ourselves on being a force for good as we make the world better. 

About the Benefits:

We leverage best-in-class technology and market-leading innovation in AI and ML, with all of that being underlined by building and maintaining a fantastic and inclusive culture where people can be their authentic selves, and offering a great list of perks and benefits to go with it:

• Become a shareholder. Every Rokt’star gets equity in the company
• Enjoy catered lunch every day and healthy snacks in the office.
• Access generous retirement plans like a 4% dollar-for-dollar 401K matching plan and great health benefits for you and your dependents.
• Dog-friendly office
• Extra leave (bonus annual leave, sabbatical leave etc.) 
• Work with the greatest talent in town
• See the world! We have offices in New York, Seattle, Sydney, Tokyo and London

We believe we’re better together. We love spending time together and are in the office most days (teams are in the office 4 days per week).

We at Rokt choose to create a company that is as diverse and inclusive as the world we live in by attracting, growing & keeping the best talent. Equal employment opportunities are available to all applicants without regard to race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

If this sounds like a role you’d enjoy, apply here, and you’ll hear from our recruiting team.