Checkr is seeking a seasoned and strategic leader to build and guide the Finance Data Science team to establish the vision and roadmap for how data science drives Checkr's financial strategy, profitability, and operational excellence.
Requirements
- Deep expertise in SQL
- Python
- modern ELT and data transformation frameworks (e.g. dbt)
- key ML and forecasting techniques
- ability to set technical direction, guide architectural decisions, and maintain a high bar for quality
Responsibilities
- Hire, mentor, and grow a high-performing team of data scientists and analysts.
- Define and own the roadmap for the Finance Data Science team.
- Guide the team in developing and deploying models to forecast revenue, costs, and key business metrics.
- Lead deep-dive analyses into business trends, unit economics, pricing, and new ventures to uncover opportunities for growth and efficiency.
- Set (and then raise) the bar for technical rigor, ensuring the team's work in modeling, analysis, and data pipelines is robust, scalable, and production-ready.
- Oversee Financial Modeling & Forecasting
- Drive Business Performance & Insights
Other
- A Bachelor's or Master's degree in a quantitative field like Statistics, Computer Science, Economics, or equivalent experience.
- 10+ years of experience in data science or quantitative roles, with a clear progression of impact and seniority.
- 3+ years of direct people management experience, with a proven ability to attract, hire, and develop high-performing data scientists and foster a culture of excellence.
- Exceptional stakeholder management and communication skills, with proven ability to influence and align with executive leaders (C-level, VPs) and translate complex quantitative work into clear business strategy.
- Strong business acumen, with deep experience applying data science to solve complex financial problems (e.g., forecasting, pricing, risk) in a B2B or SaaS environment.
