Experienced Data Scientist

I am currently working with a well-funded, technology-driven Series D Fintech looking to hire experienced Data Scientists/MLEs to shape product strategy using machine learning, statistical analysis, and econometric modeling. The role combines technical skills with product sensibility-thinking critically about roadmaps and the ability to approach open-ended questions thoughtfully.

This is a dynamic, unstructured role where there's no "typical day." The team values flexibility and adaptability, allowing you to apply your unique strengths to the highest-priority challenges. You'll work across analytics, modeling, engineering, and product management, owning key metrics, presenting to leadership weekly, and driving impact with product and engineering teams.

In this role, you will:

• Work closely with teams across Product, Engineering, Marketing, Sales, Finance, and Data Science to shape product strategy.
• Use statistical, machine learning, and econometric models to:
• Analyze performance metrics and outcomes.
• Determine causal relationships and key drivers.
• Forecast user behavior and product trends.
• Develop and implement scalable data science solutions.
• Design and interpret experiments to optimize decision-making.
• Establish key performance metrics and monitoring frameworks.
• Improve data collection processes and optimize existing data sources.
• Generate insights that inform strategic decisions and drive impact.

Qualifications:

• 5+ years of data science experience with a track record of thought leadership and innovation (experience at leading tech or fintech company preferred)
• A PhD or MS in a quantitative field (top-tier university preferred)
• Expert in Python or R, along with SQL.
• Strong foundation in statistics, machine learning, and experimental design.
• Experience developing and deploying complex models at scale.
• Proven ability to influence high-impact decisions.