Flex is a growth-stage FinTech company headquartered in NYC that is revolutionizing the rent payment experience. The Staff Data Scientist on the Growth Marketing team will leverage data to develop insights and implement strategies that maximize user acquisition and retention.
Responsibilities:
- Analyze large, complex datasets to tackle diverse challenges using advanced analytical and statistical techniques
- Develop and implement forecasting models to predict key performance metrics and assess their actual performance
- Use quantitative analysis, data mining, experimentation, and forecasting to uncover trends and inform decision-making
- Partner with Product, Engineering, Finance, Operations, and Data Science teams to deliver actionable insights
- Build sophisticated reporting and analytics tools to empower stakeholders with real-time, data-driven decision-making capabilities
- Design and develop metrics and dimensions to track and evaluate product and business performance
- Present findings and recommendations to stakeholders, including senior leadership, in clear and concise formats
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
- 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