I am currently working with a well-funded, technology-driven Series D Fintech looking to hire experienced Data Scientists and Machine Learning Engineers 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 approaching 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.
In this role, you will:
- Collaborate with Product, Engineering, Marketing, Sales, Finance, and Data Science teams to shape product strategy using scientific solutions
- Apply statistical, machine learning, and econometric models on large datasets to:
- Measure results and outcomes
- Identify causal impact and attribution
- Predict future performance of users or products
- Design, implement, and launch innovative data science solutions to enable data-driven decisions at scale
- Design, analyze, and interpret the results of experiments
- Develop key metrics and observability for our products
- Drive the collection of new data and refine existing data sources
- Create analyses that tell compelling stories and inspire action
We're looking for someone with:
- 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 knowledge of a scientific computing language (such as R or Python) and SQL
- Theoretical and applied expertise in statistics, machine learning, and experimental design
- Experience designing and implementing complex modeling solutions from ideation to production at scale
- Experience influencing high-impact decisions
