Staff Data Scientist - Finance & Accounting

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Staff Data Scientist - Finance & Accounting in United States.

This role sits at the intersection of advanced data science, financial systems, and large-scale healthcare operations, with a focus on building trustable, audit-ready financial intelligence.

You will lead high-impact analytical work that connects revenue infrastructure to core financial outcomes such as profitability, cash flow, and operational efficiency.

The position plays a critical role in shaping how financial data is modeled, interpreted, and used across the organization to support strategic and regulatory readiness.

You will partner closely with Finance, Accounting, Engineering, Product, and Operations teams to improve visibility into revenue cycles and collections performance.

The work combines predictive modeling, metrics design, and deep financial systems understanding in a fast-scaling, mission-driven environment.

This is a highly cross-functional role where insights directly influence executive decisions and company-wide financial strategy.

It offers the opportunity to define how data science powers financial clarity in a complex, high-growth organization.

Accountabilities

• Lead strategic data science initiatives that connect revenue systems and operational data to financial outcomes including P&L, cash flow, and balance sheet performance.
• Design and implement scalable metrics frameworks that improve visibility into revenue flows, collections loss, and financial reporting accuracy.
• Develop forecasting and predictive models to support staffing, planning, and performance tracking against financial targets.
• Define and drive measurement strategies to identify inefficiencies in revenue cycles and prioritize high-impact improvement opportunities.
• Partner cross-functionally with Finance, Accounting, Engineering, Product, and Operations teams to ensure data integrity, auditability, and GAAP compliance.
• Translate complex analytical insights into clear, actionable recommendations for executive and senior stakeholders.

Requirements

• 10+ years of experience in data science, analytics, or related quantitative roles.
• Strong understanding of finance and accounting fundamentals, including financial statements (P&L, balance sheet, cash flow) and transaction-level data structures.
• Experience with revenue cycle management (RCM) or healthcare financial systems is strongly preferred.
• Proven track record of cross-functional collaboration with Finance, Accounting, Product, Engineering, and Operations teams.
• Strong expertise in forecasting, statistical modeling, and predictive analytics techniques.
• Hands-on experience with SQL and Python or R, and familiarity with modern data modeling practices (e.g., dbt).
• Ability to design and maintain scalable data frameworks supporting financial reporting and decision-making.
• Strong communication skills with the ability to simplify complex technical concepts for executive audiences.
• Experience using AI-assisted tools to improve data workflows and productivity is a plus.

Benefits

• Competitive base salary ranging from $212,000 to $265,000 depending on experience and location.
• Equity compensation opportunities aligned with role level and performance.
• Comprehensive healthcare coverage including medical, dental, and vision insurance.
• Retirement benefits including 401(k) plan.
• Flexible PTO policy and 13 paid holidays plus year-end holiday break.
• Work-from-home stipend and remote-friendly work structure.
• Mental health and wellness support including therapy reimbursement and employee assistance programs.
• Parental leave (up to 16 weeks for eligible employees) and fertility benefits sup

How Jobgether Works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.