Overview In this role you will own end-to-end AI-driven decision intelligence products, translating data into actionable insights. You will combine ML, experimentation, and generative AI to influence business outcomes and shape product roadmaps. You'll work with cross-functional teams to ensure scalable, measurable solutions aligned with user needs. This is an opportunity to operate at the intersection of data science and product management, driving impact in a financial services context.
Compensation / Benefits- leave programs
- adoption assistance
- student loan repayment programs
- annual discretionary bonus
- incentive program
Responsibilities- Design, deploy, and monitor ML models, propensity scores, and behavioral signals for decision intelligence products
- Lead experiments including hypothesis formation, measurement strategy, holdout design, causal analysis, and reporting
- Develop and optimize generative AI solutions, including prompt strategies, personalization, and content workflows
- Partner with product leaders to set priorities, shape roadmaps, and translate business objectives into scalable AI solutions
- Contribute to shared ML platforms, reusable features, and enterprise intelligence capabilities across product domains
Key requirements- Bachelor's degree in a quantitative field (advanced degree preferred)
- Experience deploying production ML models influencing business processes or outcomes
- Strong Python and SQL skills for large-scale data analysis, feature engineering, and experimentation
- Experience designing and evaluating experiments (A/B testing, holdout methods, causal inference, and statistical measurement)
- Ability to communicate complex analysis and model implications to technical and non-technical audiences
- Proven ability to influence product direction and collaborate with cross-functional stakeholders
- excellent communication
- cross-functional collaboration
- ability to influence and align stakeholders
- generative AI / LLM applications
- prompt engineering
- content generation and personalization
