Senior Manager Data Science, Checkr

Checkr

Location:
United States, San Francisco

Category:
Finance

Contract Type:
Employment contract

Salary:

269000.00 - 316000.00 USD / Year

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Job Description:

We are seeking a seasoned and strategic leader to build and guide our Finance Data Science team. In this role, you will be responsible for establishing the vision and roadmap for how data science drives Checkr’s financial strategy, profitability, and operational excellence. You will lead and mentor a talented team of data scientists and analysts, empowering them to deliver the critical quantitative insights that underpin our most important financial decisions. The Finance DS team owns 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. This role reports into our central Data & ML team within the Engineering organization, ensuring a strong technical foundation and career path, while being dedicated to the Finance domain.

Job Responsibility:

Hire, mentor, and grow a high-performing team of data scientists and analysts
Foster a culture of technical excellence, business impact, and continuous learning
Define and own the roadmap for the Finance Data Science team
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
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

Requirements:

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
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
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

What we offer:

A fast-paced and collaborative environment
Learning and development allowance
Competitive cash and equity compensation and opportunity for advancement
100% medical, dental, and vision coverage
Up to $25K reimbursement for fertility, adoption, and parental planning services
Flexible PTO policy
Monthly wellness stipend, home office stipend
In-office perks such as lunch four times a week, a commuter stipend, and an abundance of snacks and beverages

Additional Information:

Job Posted:
August 13, 2025

Employment Type:

Fulltime

Work Type:

Hybrid work

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Senior Manager Data Science