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?

The Role

As the Director of Data Science, you’ll lead a team focused on driving top-line growth through data-driven insights across sales, business development, and customer success operations. You will partner closely with leadership to identify new revenue opportunities, optimize sales strategies, and improve customer lifetime value. This role requires balancing deep technical expertise with strategic business thinking, you’ll shape how data science and analytic powers go-to-market execution, partnership development, and client retention.

Your team will own initiatives such as sales funnel optimization, revenue forecasting, pricing and deal modeling, and customer health scoring. You’ll help Flex scale efficiently by turning complex data into actionable strategies that grow revenue and strengthen client relationships.

You Will:

• Lead and expand a high-performing team of data scientists and analysts supporting sales, business development, and customer success operations to design data-driven strategies that accelerate revenue growth and expand market share.
• Develop and refine forecasting models, pipeline analytics, and sales performance metrics to guide quota planning and execution.
• Build frameworks to evaluate partnership opportunities, pricing strategies, and go-to-market experiments.
• Design and implement models that predict churn, expansion, and customer health to improve retention and upsell outcomes.
• Create and institutionalize best practices for sales experimentation, revenue analytics, and operational reporting.
• Serve as a trusted advisor to executive leadership, bringing analytical rigor to strategic decision-making.
• Mentor and grow senior technical talent while fostering a culture of collaboration, curiosity, and measurable business impact.

You Have:

• 8+ years of experience in data science, advanced analytics, or revenue-focused quantitative research.
• 7+ years leading data science or analytics teams, including managing managers and scaling functions that support commercial teams.
• A proven track record of influencing revenue growth through experimentation, sales optimization, or go-to-market strategy.
• Deep technical expertise in SQL and Python, with experience in analytics and machine learning tools (dbt, Airflow, Spark, MLflow, etc.).
• Experience applying machine learning and predictive modeling to revenue forecasting, customer retention, or sales efficiency.
• A Master’s or PhD in a quantitative field (e.g., Statistics, Computer Science, Economics, or Applied Mathematics) is strongly preferred.
• Strong communication skills, with the ability to distill complex analysis into actionable insights for commercial and executive stakeholders.
• A passion for developing talent and building a high-impact culture rooted in accountability, data-driven decisions, and business outcomes.

For working locations in NY/NJ/CA, the base salary pay range will be $ 259,000-274,000

For all other states, the base salary pay range will be $232,000-247,000

This is a hybrid position with on-site expectations of 3 days per week in our New York Headquarters