Senior Data Scientist / Machine Learning Engineer

mParticle by Rokt is widely recognized as one of the leading customer data platforms, serving hundreds of global brands and helping them turn data to insights and insights to action. Built on top of end-to-end streaming architecture, we are committed to empowering businesses to deliver personalized and engaging experiences to their customers across all screens and devices. We believe that the opportunity to help teams activate insights from their customer data to deliver more relevant and adaptive experiences is more important than ever. In January 2025 mParticle merged with Rokt and became mParticle by Rokt. Together, our AI and ML-powered Rokt Brain and ecommerce Rokt Network will power more than 6.5 billion transactions, connecting 400 million customers across the world’s leading companies.

We are Rokt, a hyper-growth ecommerce leader. We enable companies to increase value by unlocking real-time relevancy in the moment that matters most, when customers are buying. Together, our AI and ML-powered Rokt Brain and ecommerce Rokt Network will power more than 6.5 billion transactions connecting 400 million customers across the world’s leading companies. In January 2025, Rokt’s valuation increased to $3.5 billion USD, allowing us to expand rapidly across 15 countries. 

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 / Machine Learning Engineer

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 / Machine Learning Engineer on the Identity team, you will play a critical leadership role in shaping and advancing our identity solutions. 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 significantly improve the effectiveness and quality of our identity solutions and drive initiatives to completion
• 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 identity-focused data science projects (e.g., authentication, fraud, user verification, KYC).
• Strong analytical / modeling experience tied to business outc