Flex-posted 3 months ago
$232,000 - $274,000/Yr
Full-time • Senior
New York, NY
501-1,000 employees

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.

  • 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.
  • 10+ 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.
  • Competitive pay
  • 100% company-paid medical, dental, and vision
  • 401(k) + company equity
  • Unlimited paid time off + 13 company paid holidays
  • Parental leave
  • Flex Cares Program
  • Free Flex subscription
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