Data Scientist
Data Scientist
I am currently working with a well-funded, technology-driven Series D Fintech looking to hire experienced Data Scientists 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 proactively contributing solutions. The ideal candidate will have 5+ years of experience in data science, proficiency in Python (or R) and SQL, and expertise in statistical modeling and experimental design. A PhD or MS in a quantitative field is preferred, but the key is a strategic mindset and the ability to approach open-ended questions thoughtfully, demonstrating a structured problem-solving process.
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
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 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
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