Delivery Optimization Data Scientist – ML & Impact

Gopuff; United States; Remote; USD 160,000 - 200,000; Full time

Benefits offered by this job

Medical/Dental/Vision Insurance

401(k) Retirement Savings Plan

HSA or FSA eligibility

Long and Short-Term Disability

Fitness Reimbursement Program

25% employee discount & FAM Membership

Flexible PTO

Group Life Insurance

EAP through AllOne Health

Job summary

Gopuff is seeking a Senior Data Scientist on the Delivery Technology Team to drive data-driven models for dispatch, routing, pricing, and partner experience, with a direct impact on delivery speed and customer satisfaction.

You will own end-to-end solutions, run rigorous experiments, and collaborate with product and engineering to turn business questions into measurable technical objectives, shaping the future of delivery with ML and optimization.

Qualifications

• MS or PhD in Operations Research, mathematics, statistics, economics, CS, or engineering, or related field.
• 2+ years of delivery/logistics/pricing problems or 8+ years of data science experience.
• Strong background in two or more: pricing/revenue optimization, mathematical optimization, time-series forecasting, experimentation and causal inference.
• Experience translating ambiguous business problems into clear technical objectives.

Responsibilities

• Design and iterate on algorithmic delivery fee strategies to balance conversion, customer experience and profitability.
• Develop optimization and ML approaches for order batching, assignment and routing to lower delivery costs.
• Build accurate demand forecasts by location and time for driver supply planning and pricing decisions.
• Design and analyze high-quality experiments (A/B, switchback, geo/market designs) and measure impact using causal inference.
• Own end-to-end solutions from framing to deployment and monitoring in production.
• Partner with product, engineering, operations and finance to turn business questions into technical objectives.
• Identify opportunities for ML, optimization and causal inference to improve the delivery experience.

Skills

Pricing/revenue optimization

Mathematical optimization

Time-series forecasting

Experimentation & causal inference

Machine learning & statistics

Python & SQL

Education

MS or PhD in Operations Research, Mathematics, Statistics, Economics, CS, Engineering or related field

8+ years of industry experience in data science

Tools

OR-Tools

Gurobi

Forecasting libraries

Job description

Gopuff is seeking a Senior Data Scientist on the Delivery Technology Team to drive data-driven models for dispatch, routing, pricing, and partner experience, with a direct impact on delivery speed and customer satisfaction.

You will own end-to-end solutions, run rigorous experiments, and collaborate with product and engineering to turn business questions into measurable technical objectives, shaping the future of delivery with ML and optimization.