Staff Data Scientist, Engagement

What you'll do

• Own the analytics agenda for the Connected Accounts product area to identify high-leverage opportunities.
• Partner with product and engineering leaders to shape roadmap and prioritization decisions using data insights.
• Apply ML and causal inference techniques to solve problems regarding link conversion, drop-off, and engagement.
• Design and execute A/B and quasi-experimental tests to quantify impacts on member and business outcomes.
• Build member segments based on behavior to improve targeting, personalization, and feature relevance.
• Identify opportunities to apply AI/ML within the connected accounts experience and design measurement plans.
• Mentor other data scientists on best practices and experimentation rigor.

What we're looking for

• BS or MS in Statistics, Mathematics, Operations Research, Computer Science, Engineering, Econometrics, or a related field.
• 6+ years of experience in data science and analytics with a track record of driving impact within a product area.
• Experience with account aggregation, fintech data connectivity, or personal financial management products (preferred).
• Experience in fintech (plus).
• Ability to translate ambiguous product questions into structured analyses and actionable recommendations.
• Experience designing and interpreting experiments with working knowledge of causal inference techniques.
• Exposure to building offline classification and regression models to inform business decisions.
• Strong communication and stakeholder-influence skills to work effectively with Director-level partners.