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$143,000 – $169,000
Listed on Oura’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
This role leads the development and implementation of statistical and machine learning-based forecasting methodologies for a consumer hardware company, working across demand planning, supply chain, and data teams to improve forecast accuracy and decision-making. It suits someone with strong quantitative skills and hands-on experience building predictive models in operational business environments who wants to shape forecasting strategy at a growth-stage company.
Our summary, not Oura’s wording. The full posting is on their site.
Skills this role names
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What they ask for
Required
- 6+ years of forecasting, demand planning, analytics, data science, or operations research experience
- Statistical forecasting methodology development and application in business
- Advanced SQL and proficiency in Python, R, or similar analytical programming language
- Experience working with large, messy datasets and improving data quality
- Forecasting model development, performance evaluation, and diagnostic analysis
- Understanding of planning and operational processes in consumer products, hardware, retail, or supply chain
- Ability to translate analytical findings into clear business recommendations
- Effective cross-functional collaboration with technical and non-technical stakeholders
- Strong ownership mentality and ability to operate in fast-paced, evolving environments
Nice to have
- Production or near-production experience with machine learning for time-series forecasting or demand sensing
- Familiarity with planning platforms, BI tools, and modern data infrastructure
- Background in consumer electronics, wearables, premium hardware, or subscription businesses
- Experience scaling forecasting processes in high-growth companies
- Experience with causal modeling, experimentation, or advanced scenario planning