Staff Data Scientist, Growth Marketing

Flex • San Francisco, CA

26d • $145,000 - $175,000

About The Position

Flex is a growth-stage, NYC headquartered FinTech company that is creating the best rent payment experience. It’s hard to believe that it’s 2025 and paying rent on time is expensive, inflexible, and difficult. We’re here to change that! Flex enables our users to pay rent throughout the month on a schedule that better fits their finances and budget. Our mission is to empower as many renters as possible with flexibility over their most significant recurring expense. After deliberately keeping a stealth profile as we built up unprecedented investor support and an enthusiastic user base, we are looking for motivated individuals to help us keep our mission growing. Will you be a part of the team? About the role As a Staff Data Scientist on the Growth Marketing team, you will leverage data to develop insights and implement growth strategies that maximize user acquisition and retention. This is a high-impact role that blends analytical expertise, strategic thinking, and cross-functional collaboration to drive Flex’s mission forward.

Requirements

• Bachelor's degree is in Statistics or an equivalent quantitative field
• 5+ years solid analytics/data science experience
• Experience in data mining and analysis tools such as Python/ SQL etc
• Exceptional stakeholder management skills, with a proven ability to collaborate and influence across functions
• Robust business acumen, strategic thinking skills, and the ability to make informed judgments

Nice To Haves

• Prior experience in the technology industry or a fast-paced, data-driven environment is preferred
• Prior experience with underwriting/pricing strategy for consumer finance product a strong preference

Responsibilities

• Data Analysis & Problem-Solving: Analyze large, complex datasets to tackle diverse challenges using advanced analytical and statistical techniques.
• Modeling & Forecasting: Develop and implement forecasting models to predict key performance metrics and assess their actual performance.
• Decision Support: Use quantitative analysis, data mining, experimentation, and forecasting to uncover trends and inform decision-making.
• Cross-Functional Collaboration: Partner with Product, Engineering, Finance, Operations, and Data Science teams to deliver actionable insights.
• Tools & Reporting: Build sophisticated reporting and analytics tools to empower stakeholders with real-time, data-driven decision-making capabilities.
• Performance Monitoring: Design and develop metrics and dimensions to track and evaluate product and business performance.
• Strategic Communication: Present findings and recommendations to stakeholders, including senior leadership, in clear and concise formats.

Benefits

• Competitive medical, dental, and vision available from Day 1
• Company equity
• 401(k) plan with company match (our company match kicks off at the beginning of 2026)
• Unlimited paid time off + 13 company paid holidays
• Parental leave
• Flex Cares Program
• Free Flex subscription
• Competitive compensation + company equity
• Unlimited PTO

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 251-500 employees