Lead Data Scientist (Pricing & Reinforcement Learning)

Lead Data Scientist (Pricing & Reinforcement Learning)

$230,000 base + 10% bonus + equity

Remote (USA only)

No visa sponsorship or transfer

We’re hiring multiple Lead Data Scientists to build production-grade pricing and reinforcement learning systems for a global AI-powered revenue optimization platform.

You’ll design and deploy models that dynamically adjust prices, learn from real-time behavior, and optimize long-term outcomes across a massive dataset of transactions and demand signals.

What you’ll do:

• Develop dynamic pricing algorithms using reinforcement learning and contextual bandits

• Model demand elasticity, price sensitivity, and uncertainty to guide strategic decisions

• Create simulation and experimentation frameworks to evaluate pricing policies

• Write production-quality Python code and collaborate with MLEs to deploy at scale

• Partner with data, engineering, and product teams to turn complex models into live systems

What we’re looking for:

• 6+ years of applied ML or data science experience (pricing, optimization, or RL)

• Strong Python engineering and ML deployment skills (AWS, MLflow, Airflow, etc.)

• Hands-on experience with reinforcement learning, bandits, or decision optimization

• Familiarity with statistical modeling, demand forecasting, or time series a plus

• A collaborative and pragmatic problem solver who thrives on shipping real systems

Compensation:

• Base salary up to $230,000

• 15% annual bonus

• Significant equity potential via 3–5 year private equity exit plan

• Fully remote within the US

If you’re passionate about designing intelligent systems that make pricing decisions in the real world — and enjoy owning projects end-to-end from model design to production — this is an opportunity to have an impact at scale.