Strategic Ops Data Scientist | Forecasting & Optimization

Zipline; San Francisco (CA); On-site; USD 120,000 - 190,000; Full time

Job summary

Zipline is seeking an Operations Data Scientist to build predictive and optimization models that guide our global network's performance. You will work at the intersection of data science, operations research, logistics, and business strategy to forecast demand, optimize resources, and scale operations efficiently.

You will partner with Operations, Engineering, Product, Supply Chain, and Finance teams to develop production‑ready analytics and data products, establish metrics, and communicate

Qualifications

• 3–7 years of experience in data science, operations research or analytics.
• Strong programming in Python and SQL with production experience.
• Experience with forecasting, optimization, and experimentation.
• Familiarity with geospatial analytics and network optimization is a plus.
• Advanced degree in a quantitative field is preferred.

Responsibilities

• Develop predictive models, optimization algorithms, and analytical frameworks for the network.
• Forecast demand, capacity, labor needs, inventory, and utilization.
• Build production‑ready analytics tools and data products.
• Communicate findings to technical and non‑technical stakeholders.
• Partner with cross‑functional teams to guide strategic decisions.

Skills

Python

SQL

Machine learning

Statistical modeling

Forecasting

Experimentation

Geospatial analytics

Network optimization

Production deployment

Cloud platforms

Education

Master’s in Statistics / OR / Industrial Engineering

PhD in Statistics / OR / IE / CS

Tools

Linear programming

Mixed-integer optimization

Simulation

Network modeling

Job description

Zipline is seeking an Operations Data Scientist to build predictive and optimization models that guide our global network's performance. You will work at the intersection of data science, operations research, logistics, and business strategy to forecast demand, optimize resources, and scale operations efficiently.

You will partner with Operations, Engineering, Product, Supply Chain, and Finance teams to develop production‑ready analytics and data products, establish metrics, and communicate