
Real job — pulled straight from Firestorm’s careers page · Verified September 2, 2026 · No reposts.
Job description
Firestorm is hiring a Staff Data Scientist, Optimization — a full-time, based in San Diego, CA role ($175k–$220k). Apply directly on Firestorm's careers page below.
Staff Data Scientist, Optimization
Location: San Diego, CA
Department: Engineering
Location Type: IN_OFFICE
Employment Type: FULL_TIME
Who We Are
About the Role
What You’ll Do
- Own Crucible's optimization models — Formulate and solve problems across production planning, allocation, sourcing, inventory, scheduling, and manufacturing network optimization.
- Choose the right approach — Use mathematical optimization, heuristics, simulation, statistics, or simpler methods based on the problem and the decisions the user needs to make.
- Build models that work in production — Prototype against real data, establish baselines, test solution quality and performance, and work with software engineers to ship models inside Crucible.
- Model real-world uncertainty — Account for incomplete data, changing demand, variable lead times, supplier performance, and other conditions that make a mathematically perfect plan operationally wrong.
- Work directly with users — Spend time with manufacturing, supply chain, and program teams to understand how decisions are actually made and translate those constraints into the product.
- Set the direction for decision science — Establish how Crucible formulates problems, evaluates model quality, explains recommendations, and determines when additional model complexity is actually worthwhile.
- Build the foundation for the team — Establish the tools, methods, and technical standards that future data scientists will build on and raise the modeling fluency of the broader Crucible team.
Required Qualifications
- U.S. Citizenship and ability to obtain and maintain a U.S. Government security clearance
- 8+ years (or 6+ w/ PhD) building optimization, operations research, or data science solutions for complex operational problems
- Demonstrated technical leadership on ambiguous problems, including setting modeling direction and influencing product or engineering decisions
- Strong background in mathematical optimization, including linear or mixed-integer programming, network optimization, scheduling, or related methods
- Hands-on experience with optimization tools such as Gurobi, CPLEX, OR-Tools, Pyomo, or equivalent
- Strong Python and SQL, with experience writing code that is tested, maintained, and used in production
- Strong statistical fundamentals and experience working with incomplete, noisy, or uncertain data
- Demonstrated ability to take an ambiguous operational problem from formulation through validation and deployment
- Strong written and verbal communication across technical and operational teams
- Willingness to spend real time with the people using the models you build
- U.S. person status (ITAR)
Preferred Qualifications
- MS or PhD in Operations Research, Industrial Engineering, Applied Mathematics, Statistics, Computer Science, or a related quantitative field
- Experience with production planning, supply chain, logistics, inventory optimization, or manufacturing systems
- Experience with simulation, stochastic optimization, robust optimization, or decomposition methods
- Aerospace, defense, UAS, automotive, or other complex manufacturing experience
Work Environment
- This role is based in San Diego, CA.
- We welcome candidates who are local or open to relocating; relocation assistance is available and may be included in the offer package where appropriate.
Compensation
Benefits & Perks
- We offer comprehensive medical, dental, and visions plans
- 401(k) Retirement Savings Plan to invest in your long-term retirement goals
- Equity grants for new hires
- Unlimited PTO
- Extremely generous company holiday calendar, including a holiday hiatus in July & December.
- Generous Parental Leave
- Lifestyle Spending Account
- FSA
- DCFSA
- HSA
- Hospital Indemnity insurance
- Critical Illness insurance
- Accident insurance
- Basic Life/AD&D, short-term and long-term disability insurance, 100% covered by Firestorm. Plus, the option to purchase additional life insurance for you and your family.
- Mental Health Resources: We provide free mental health resources 24/7 including therapy and more. Additional work-life services, such as free legal and financial support, are available to you as well.
Export Control Compliance
Equal Opportunity Statement
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Frequently asked questions
What is the salary for Staff Data Scientist, Optimization at Firestorm?
The estimated salary range for Staff Data Scientist, Optimization at Firestorm is $175,000 - $220,000 USD per year.
What skills are required for Staff Data Scientist, Optimization at Firestorm?
The required skills for Staff Data Scientist, Optimization at Firestorm include: Python, SQL, Data Science, Supply Chain Management, Logistics.
What is the seniority level for Staff Data Scientist, Optimization at Firestorm?
Staff Data Scientist, Optimization at Firestorm is a Staff level position.
How do I apply for Staff Data Scientist, Optimization at Firestorm?
You can view the full description and apply for Staff Data Scientist, Optimization at Firestorm on EchoJobs: https://echojobs.io/job/firestorm-staff-data-scientist-optimization-d65hg.