Overview
A growing technology company is seeking a Finance Data Scientist to join their Finance Data Science team during a pivotal phase of the organization's evolution. This role focuses on building and maintaining the data foundation that supports financial reporting, forecasting, strategic decision-making, and investor communications. The position involves close collaboration with Strategic Finance, Accounting, Investor Relations, Engineering, Product, and Data teams to ensure financial metrics are accurate, actionable, and trusted.
This full-time role can be based in one of the company's US hubs or remotely within the United States.
Responsibilities
- Own and enhance data models powering financial reporting, including ARR, revenue, billings, collections, and other key business metrics
- Develop scalable reporting systems, forecasts, and analytical frameworks supporting Finance, Accounting, Investor Relations, and executive leadership
- Ensure data accuracy and completeness during month-end, quarter-end, and year-end close processes in partnership with Strategic Finance and Accounting teams
- Collaborate with Engineering, Product, GTM Systems, and Financial Systems teams to maintain completeness and accuracy of financial data
- Conduct in-depth analyses to inform strategic decisions and identify opportunities to improve business performance
- Define, measure, and operationalize key financial and operational metrics
- Design and implement durable data solutions balancing immediate stakeholder needs with long-term scalability
- Act as a trusted advisor to Finance leaders, guiding reporting, forecasting, and decision-making across the business
Requirements
- Minimum 3 years of experience in Data Science, Analytics, Finance, Financial Systems, Data Engineering, or related fields
- Advanced SQL skills and strong proficiency in Python or a similar programming language
- Experience supporting Finance, Accounting, Strategic Finance, FP&A, Investor Relations, or other finance-focused stakeholders
- Proven ability to translate complex data into clear, actionable business insights for non-technical audiences
- Demonstrated capability to work independently and drive projects from ambiguity to execution
Preferred Qualifications
- Experience with SaaS, subscription-based, usage-based, or consumption-based business models
- Knowledge of accounting concepts and revenue recognition principles (ASC 606)
- Familiarity with modern analytics and data engineering tools such as DBT, Snowflake, Git, Spark, Presto, or similar technologies
- Experience supporting IPO readiness, public company reporting, SOX controls, audits, or other major corporate milestones
- Background in Strategic Finance, FP&A, Accounting, Investment Banking, Consulting, or related fields
Compensation & Benefits
- Annual base salary range: $140,000—$348,000 USD (varies by job level, qualifications, and work location)
- Equity offered to employees
- Comprehensive benefits package including health, dental, and vision insurance
- Retirement plan with company contribution
- Parental leave and reproductive or family planning support
- Mental health and wellness benefits
- Generous paid time off and company recharge days
- Learning and development stipend
- Work from home stipend
- Cell phone reimbursement
- Sales incentive pay for sales roles and annual bonus plan for eligible non-sales roles
Compensation and benefits are subject to change.
Location
This role is open to candidates based in the United States, either at one of the organization's US hub offices or remotely within the country. Work location will influence compensation within a range of 80% to 100% of the stated salary range.
Equal Opportunity & Accessibility
The organization is an equal opportunity employer committed to diversity and inclusion. Employment decisions are made without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, veteran status, or any other characteristic protected by law. Qualified applicants with criminal histories will be considered consistent with legal requirements.
Reasonable accommodations are provided for individuals with disabilities throughout the application and employment process, including interview accommodations and accessible communication methods.
Candidates should be prepared to keep cameras on during video interviews and attend in-person onboarding if hired.