Founding Data Scientist: Capacity & Pricing Optimization

Fireworks; San Mateo (CA); On-site; USD 170,000 - 250,000; Full time

Job summary

Fireworks is hiring its first Data Scientist to build quantitative models for pricing, packaging, and capacity allocation in AI infrastructure. You will own models that balance supply and demand, optimize utilization, and guide capacity decisions.

The role blends operations research with economics, requiring production-quality coding, rigorous experimentation, and clear communication of tradeoffs to engineers and executives. Join a fast-growing team shaping enterprise AI economics.

Qualifications

• Master's degree in a quantitative field with 7+ years of hands-on experience in pricing, revenue management, or optimization.
• Strong grounding in at least two: stochastic optimization, revenue management and pricing, causal inference and experimental design, or combinatorial optimization.
• A track record of delivering production quality models that drive direct business impact.
• Strong coding skills and experience with optimization tooling & methodologies.
• Ability to communicate tradeoffs and uncertainty clearly to engineers and executives.
• Experience on capacity planning, forecasting, or pricing science teams preferred.

Responsibilities

• Build and own pricing, capacity allocation, and demand-supply models for GPU capacity and pricing.
• Design experiments and causal studies to estimate elasticity across customer segments, models, and products.
• Develop production-quality models and data pipelines that influence business decisions.
• Collaborate with engineers and executives to communicate tradeoffs and uncertainties.

Skills

Pricing strategy

Revenue management

Optimization tooling

Coding skills

Communication

Education

Master's degree in Operations Research, Economics, Industrial Engineering, Statistics, or related quantitative field

Job description

Fireworks is hiring its first Data Scientist to build quantitative models for pricing, packaging, and capacity allocation in AI infrastructure. You will own models that balance supply and demand, optimize utilization, and guide capacity decisions.

The role blends operations research with economics, requiring production-quality coding, rigorous experimentation, and clear communication of tradeoffs to engineers and executives. Join a fast-growing team shaping enterprise AI economics.