Checkr is seeking a seasoned and strategic leader to build and guide its Finance Data Science team. This role is responsible for establishing the vision and roadmap for how data science drives Checkr's financial strategy, profitability, and operational excellence, by providing critical quantitative insights for financial decisions.
Requirements
- Deep expertise in SQL, Python, modern ELT and data transformation frameworks (e.g. dbt), key ML and forecasting techniques; with the ability to set technical direction, guide architectural decisions, and maintain a high bar for quality.
- Demonstrated ability to develop and execute a strategic vision and multi-quarter roadmap for a data science function, aligning it with broader business objectives.
- 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.
Responsibilities
- 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, directly influencing the company’s financial planning (FP&A) and strategy.
- 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.
- Translate ambiguous, high-level business challenges into a clear, quantitative agenda and be accountable for the models, analyses, and insights that shape our company's financial future.
- Own the quantitative backbone of Checkr’s business, including: revenue forecasting; revenue and cost data models; the source of truth for key business metrics (e.g., upsell, churn); and analytical / automation support for planning, pricing, packaging, and strategic finance initiatives.
Other
- Hire, mentor, and grow a high-performing team of data scientists and analysts. Foster a culture of technical excellence, business impact, and continuous learning.
- Partner with C-level and VP-level stakeholders to identify and prioritize the most impactful analytical and modeling opportunities.
- Serve as the primary data science partner to the Finance leadership team. Translate complex quantitative concepts into clear, actionable recommendations for a senior executive audience.
- 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.
- 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.
