Staff Data Scientist, Growth Marketing

Full Timestaff

San Francisco, California, United States$162k – $203kPosted February 2, 2026

Job Description

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 2026 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.

What you’ll do

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.

Key qualifications

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
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

The salary compensation range for this role will be commensurate with the candidate's experience and Flex's internal leveling guidelines and benchmarks.

Flex takes a market-based approach to pay, and compensation may vary depending on your primary work location. Work locations are categorized into one of three tiers based on a cost of labor index for that geographic area. The successful candidate’s starting pay will be commensurate with their experience, qualifications, and Flex’s internal leveling guidelines and benchmarks.
- Tier A (NYC/SF): $180,000—$225,000 USD
- Tier B: $162,000 - $202,500 USD
- Tier C: $153,000 - 191,250 USD