Senior Data Scientist - Delivery Tech

What you'll do

• Develop and optimize delivery fee, order batching, dispatch, assignment, routing, and demand-forecasting solutions.
• Design and analyze marketplace experiments and use causal inference to measure impact.
• Own models end to end, from problem framing and development through production monitoring and improvement, in partnership with cross-functional teams.

What they ask for

• MS or PhD in Operations Research, Mathematics, Statistics, Economics, Computer Science, Engineering, or a related field.
• 2+ years of experience in delivery, logistics, marketplace, or pricing problems, or 8+ years of industry experience in data science.
• Strong background in at least two of pricing/revenue optimization, mathematical optimization, time-series and demand forecasting, or experimentation and causal inference.
• Expertise in machine learning and statistics; proficiency in Python, SQL, and source control; experience shipping models to production with engineering teams.

Nice to have

• Experience in on-demand delivery, ride-hailing, or gig-economy marketplaces.
• Familiarity with optimization solvers such as OR-Tools or Gurobi, forecasting libraries, ETA prediction, or driver incentive and pay design.

Pay

$160,000 - $200,000 USD base salary

Tools

Python, SQL, OR-Tools, Gurobi

AI focus

Develops machine-learning and optimization models for delivery fees, dispatch, routing, demand forecasting, and delivery-partner experience.