Lead Data Scientist

Lead Data Scientist, Pricing (Reinforcement Learning Focus)

Compensation: $250K base + equity

Location: Remote (USA only)

We are partnering with a high-growth company that is redefining dynamic pricing in the travel sector. They are hiring a Lead Data Scientist with deep reinforcement learning expertise to drive the next generation of pricing optimization in production environments.

What You Will Do

• Design, develop, and deploy RL-based models that drive revenue-critical pricing decisions
• Lead experimentation to test and validate RL strategies under real-time constraints
• Collaborate with engineering and product teams to integrate models into live systems
• Provide technical mentorship and help shape the strategic direction of applied ML efforts

What You Bring

• Proven track record applying reinforcement learning in production settings
• Experience in pricing, decision systems, control theory, or similar optimization domains
• Strong proficiency in Python and ML/RL libraries such as PyTorch, Ray RLlib, and Gym
• Ability to lead end-to-end DS initiatives from concept to deployment

Tech Stack

• Python
• PyTorch
• Ray RLlib
• MLflow
• SQL
• AWS
• Airflow

Why This Role

• Direct impact on how a major industry approaches pricing and revenue optimization
• Opportunity to work with complex, real-world data and constraints
• Flat, engineering-led culture that values autonomy and clear ownership
• Competitive compensation, meaningful equity, and full remote flexibility (US only)