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
- 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 stakeholders
- 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
Location
- This role can be based in one of the US hub offices or remotely within the United States
Additional Information
- The organization is an equal opportunity employer committed to diversity and inclusion regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status, or any other protected characteristic.
- Reasonable accommodations are provided for individuals with disabilities throughout the application and employment process.
- Candidates are required to keep cameras on during video interviews and attend in-person onboarding if hired.
- Personal data submitted during the application process will be handled in accordance with the organization's candidate privacy policies.