Lead Data Scientist

Lead Data Scientist, Pricing & Reinforcement Learning

Compensation: $200,000 + bonus + equity

Location: Remote (USA)

This ambitious, venture-backed tech company is reshaping how the global hotel industry leverages data. With a mission to drive intelligent, real-time pricing decisions through cutting-edge AI, they’ve built a platform that’s as powerful as it is user-friendly—trusted by thousands of properties worldwide.

The Role

We’re looking for a hands-on Lead Data Scientist with deep expertise in reinforcement learning, pricing science, and mathematical optimization. You’ll spearhead the evolution of their dynamic pricing engine, building intelligent systems that respond to real-world market signals, customer behavior, and business constraints at scale.

You’ll work across data science, engineering, and product to architect next-generation models—shifting from legacy pricing techniques to adaptive, self-learning systems with measurable revenue impact.

What You’ll Do

• Lead the design and development of intelligent pricing systems using reinforcement learning and constrained optimization
• Develop scalable, adaptive pricing strategies using dynamic programming, policy gradients, model-based RL, and related techniques
• Integrate demand forecasts, price elasticity models, and business constraints into production-ready optimization frameworks
• Build simulation environments to test and validate policies before deployment
• Partner with engineers to deploy models in cloud environments (e.g., AWS SageMaker) via batch or real-time APIs
• Work cross-functionally with pricing, product, and revenue teams to align model outputs with business strategy
• Define robust evaluation frameworks using causal inference, uplift modeling, and A/B testing
• Present findings and strategic recommendations to senior stakeholders

What You’ll Bring

• 7+ years of experience building ML-driven pricing, decision-making, or control systems
• Deep expertise in reinforcement learning and mathematical optimization, with proven production deployments
• Advanced degree (MS or PhD) in a quantitative field like Statistics, Computer Science, Operations Research, or Econometrics
• Strong coding skills in Python, with proficiency in ML/DL and optimization libraries (e.g., PyTorch, TensorFlow, scikit-learn, DARTS)
• Experience with simulation-based policy evaluation and cloud ML platforms (e.g., AWS SageMaker, MLflow)
• Excellent communication skills and ability to convey complex ideas to both technical and business audiences
• Background in hospitality or revenue management is a strong plus

Tech Stack

• Python, R, SQL
• PyTorch, TensorFlow, scikit-learn, DARTS
• AWS SageMaker, MLflow
• Optimization libraries (e.g., CVXPY, OR-Tools)

Why Join?

• Shape the future of pricing intelligence in a $1T+ global industry
• Join a mission-driven team passionate about innovation, transparency, and collaboration
• Work in a flexible, supportive, and intellectually stimulating environment
• Enjoy the autonomy and ownership that comes with a senior, high-impact role

About People in AI

People in AI is a specialist talent partner connecting ambitious AI professionals with pioneering teams. We work exclusively with mission-driven startups and scaleups applying machine learning, data science, and intelligent systems to real-world problems.