Operations Data Scientist – Strategic Operations
$140,000–$210,000 year
On-siteSouth San Francisco, California, United States
Job Summary
Develop forecasting models for operational demand, capacity, labor requirements, inventory, and network utilization. Build optimization algorithms to improve resource allocation, staffing, maintenance planning, and operational efficiency. Design experiments to evaluate initiatives and create predictive tools that identify risks, bottlenecks, and reliability trends. Partner with Operations, Engineering, Product, Supply Chain, and Finance teams to guide strategic decisions and support long-term planning through scenario analysis. Establish advanced metrics and communicate complex findings to stakeholders.
Required Qualifications
- 3–7 years of experience in Data Science, Operations Research, Analytics, Applied Statistics, Industrial Engineering, or a related field.
- Strong proficiency in Python.
- Advanced SQL skills.
- Experience with machine learning, statistical modeling, forecasting, and experimentation.
- Experience with optimization techniques such as linear programming, mixed-integer optimization, simulation, or network modeling.
- Strong knowledge of statistical inference and experimental design.
- Experience building analytical solutions that influence operational decisions.
- Ability to explain complex technical concepts to business stakeholders.
Desired Qualifications
- Experience in logistics, transportation, aviation, robotics, autonomous systems, manufacturing, or supply chain operations.
- Experience deploying models into production environments.
- Experience with cloud data platforms and modern data stacks.
- Familiarity with geospatial analytics and network optimization.
- Master's or PhD in Statistics, Operations Research, Industrial Engineering, Applied Mathematics, Computer Science, or related disciplines.
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