What are the responsibilities and job description for the Staff Data Scientist, Growth Marketing position at flex?
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.
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.
- For working locations in NY/NJ/CA, the base salary pay range will be $161,000-$175,000
- For all other states, the base salary pay range will be $145,000-158,000
Life at Flex:
We understand that it takes a diverse team of highly intelligent, curious, determined, empathetic, and self aware people to grow a successful company. Our HQ is located in New York City, but we have employees located throughout the US, Australia, Canada and South America. We are growing quickly, but deliberately, with a focus on building an inclusive culture. Our dynamic team has incredible perspectives to share, just as we know you do, and we take great pride in being an equal opportunity workplace.
We offer many employee benefits & perks. For full-time U.S based positions we offer:
- 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
For full time non-US employees, we offer
- Competitive compensation company equity
- Unlimited PTO
Salary : $161 - $175