Data Scientist

DRH Search • New York, NY

4d • Onsite

About The Position

We're assisting a well-funded fintech startup with their search for a data scientist as they build out their data team. Their product is a modern banking and cash management platform for ecommerce brands. The role will work onsite in the NYC office. What you'll be doing: Owning the marketing data science function to drive aggressive growth. Building product-facing data work to provide customers with the best financial information. Conducting analysis for risk and underwriting, especially for customer loans. Dissecting messy big datasets to extract valuable insights. Driving strategy and shaping the direction of the product.

Requirements

• 5+ years experience in customer analytics, data science, financial analysis, or a related quantitative field
• Strong background in statistics, machine learning, computer science, or quantitative discipline, especially with large data sets.
• Comfortable working with messy real-world data is a must
• Experience analyzing customer behavior, product usage, lifecycle metrics, or financial/transactional datasets
• Ability to synthesize complex data into clear insights and compelling narratives for non-technical audiences
• Familiarity with e-commerce fundamentals (conversion, CAC, LTV, margin structure, inventory cycles) or strong willingness and ability to become an expert quickly
• Comfort working cross-functionally with Product, CS, or GTM teams

Nice To Haves

• Experience with fintech, e-commerce, lending, or D2C businesses
• Background in FP&A or consumer insights research
• Experience leading open-ended financial market research and generating useful insights
• Experience launching a public facing data visualization or DaaS product is a plus

Responsibilities

• Owning the marketing data science function to drive aggressive growth.
• Building product-facing data work to provide customers with the best financial information.
• Conducting analysis for risk and underwriting, especially for customer loans.
• Dissecting messy big datasets to extract valuable insights.
• Driving strategy and shaping the direction of the product.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed