Job Details

About Checkr
Checkr is building the data platform to power safe and fair decisions. Established in 2014, Checkr's innovative technology and robust data platform help customers assess risk and ensure safety and compliance to build trusted workplaces and communities. Checkr has over 100,000 customers including DoorDash, Coinbase, Lyft, Instacart, and Airtable.

We're a team that thrives on solving complex problems with innovative solutions that advance our mission. Checkr is recognized on Forbes Cloud 100 2024 List and is a Y Combinator 2024 Breakthrough Company .

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.

As the Senior Manager of Data Science, Finance, you will be a key partner to our executive and C-level leadership team. You will 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. 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.

What you'll do

• Team Leadership & Development: Hire, mentor, and grow a high-performing team of data scientists and analysts. Foster a culture of technical excellence, business impact, and continuous learning.
• Strategic Planning & Vision

  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.

  
  

• Executive Stakeholder Management

  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.

  
  

• Oversee Financial Modeling & Forecasting

  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.

  
  

• Drive Business Performance & Insights

  Lead deep-dive analyses into business trends, unit economics, pricing, and new ventures to uncover opportunities for growth and efficiency.

  
  

• Technical Excellence

  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.

  
  

What you bring

• 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 you'll get

• 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

At Checkr, we believe a hybrid work environment strengthens collaboration, drives innovation, and encourages connection. Our hub locations are Denver, CO, San Francisco, CA, and Santiago, Chile. Individuals are expected to work from the office 2 to 3 days a week. In-office perks are provided, such as lunch four times a week, a commuter stipend, and an abundance of snacks and beverages.

One of Checkr's core values is Transparency. To live by that value, we've made the decision to disclose salary ranges in all of our job postings. We use geographic cost of labor as an input to develop ranges for our roles and as such, each location where we hire may have a different range. If this role is remote, we have listed the top to the bottom of the possible range, but we will specify the target range for an exact location when you are selected for a recruiting discussion. For more information on our compensation philosophy, see our website

The base salary range for this role is $269,000 to $316,000 in San Francisco, CA.

Equal Employment Opportunities at Checkr

Checkr is committed to building the best product and company, which requires hiring talented and qualified individuals with a diverse set of perspectives and lived experiences. Checkr believes in hiring people of all backgrounds, including those whose histories are impacted by the justice system in accordance with local, state, and/or federal laws, including the San Francisco's Fair Chance Ordinance

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