We are looking for an experienced Senior Data Scientist to help build a world-class Finance organization by leveraging Oura’s data and AI capabilities. This role will partner closely with our Finance and FP&A teams to drive financial efficiency, forecasting accuracy, and long-term value creation through data-driven insights and scalable data systems. Your work will help Oura better understand and optimize cost structure, revenue growth, and customer lifetime value, directly influencing strategic and operational financial decisions.
You will play a key role in shaping our data and AI strategy for finance analytics, collaborating with teams across finance, data engineering, operations, and product. This role requires a strong data engineering foundation initially — unifying financial data from Oura’s ERP and other upstream business systems — to create an integrated, trustworthy financial data layer. Over time, the role will evolve toward more advanced analytics and ML modeling, such as predictive revenue forecasting, LTV modeling, and scenario-based cost optimization.
This is a remote role based in the U.S. We have offices in San Francisco and San Diego for those who prefer hybrid or office settings, and employee hubs including New York City, Boston, Los Angeles, Seattle, and more.
What You Will Do:
- Build and maintain data pipelines integrating financial data from NetSuite, Zuora, shipping/logistics, and product systems, enabling unified visibility across revenue and cost levers. Ensure data quality, lineage, and governance standards for finance data systems.
- Build predictive models for customer lifetime value, churn, and revenue forecasting using behavioral, transactional, and operational datasets. Integrate models into ongoing financial planning and strategic decision-making.
- Use data engineering skills to transform data into actionable and reportable insights.
- Build models to identify cost drivers, informing business decisions to reduce waste and enhance gross margin efficiency.
- Develop dashboards and reporting tools to visualize key financial KPIs and forecast trends, that directly inform financial strategy, budgets, and planning cycles.
We would love to have you on our team if you have:
- 6+ years of experience in financial data science or analytics, supporting Finance or FP&A organizations. A master's degree in a relevant quantitative field is preferred.
- Demonstrated success applying data science and ML to financial outcomes such as cost reduction, metric forecasting accuracy, and LTV improvement.
- Experience with time series forecasting, revenue modeling, and financial scenario simulation.
- Strong SQL and data engineering skills, with experience unifying and transforming data across ERP, billing, logistics, and product systems, and integrating these datasets into Oura’s EPM and financial planning environments.
- Strong proficiency in Python for building statistical, machine-learning, forecasting, and optimization models.
- Experience with data visualization tools (e.g., Tableau, Looker, Power BI, etc) for executive-level financial reporting.
- Experience with data development leveraging modern data stack and cloud platforms (e.g. AWS, Databricks, dbt, etc)
- Proven ability to partner effectively with Finance leaders, moving quickly to translate technical work into strategic insights/decisions.
- Strong business acumen with deep understanding of financial metrics and decision-making frameworks.
- Experience working with international and distributed teams.
Benefits
At Oura, we care about you and your well-being. Everyone here at Oura has a ring of their own and we are continually looking to improve employee health.
What we offer:
- Competitive salary and equity packages
- Health, dental, vision insurance, and mental health resources
- An Oura Ring of your own plus employee discounts for friends & family
- 20 days of paid time off plus 13 paid holidays plus 8 days of flexible wellness time off
- Paid sick leave and parental leave
Oura takes a market-based approach to pay, which may vary depending on your location. US locations are categorized into tiers based on a cost of labor index for that geographic area. While most offers will be closer to the starting range, successful candidates' pay will be determined based on job-related skills, experience, qualifications, work location, internal peer equity, and market conditions. These ranges may be modified in the future.
- Region 1: $172,550 - $203,000
- Region 2: $158,950 - $187,000
- Region 3: $147,900 - $174,000
A recruiter can determine your zones/tiers based on your U.S. location.
We are not considering candidates residing in the following states: Alaska (AK), Delaware (DE), Iowa (IA), Mississippi (MS), Missouri (MO), Nebraska (NE), South Dakota (SD), West Virginia (WV), and Wisconsin (WI)
