Lead Data Scientist, Delivery Optimization

Gopuff; Philadelphia (Philadelphia County); 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 Income

Fitness Reimbursement Program

25% employee discount & FAM Membership

Flexible PTO

Group Life Insurance

EAP through AllOne Health

Job summary

Gopuff in Philadelphia is seeking a Senior Data Scientist to lead data-driven models that optimize delivery fees, dispatch, and pricing on our platform. You will work across coordination with product, engineering and operations to drive measurable improvements in customer and partner experiences.

You will design experiments, build features, and deploy models to production, with a strong emphasis on causal inference and scalable ML across location-time granularity.

Qualifications

• MS or PhD in Operations Research, Mathematics, Statistics, Economics, Computer Science, Engineering or a related field with 2+ years of delivery/logistics/pricing experience (or 8+ years in data science).
• Strong background in pricing optimization, mathematical optimization, time-series forecasting, experimentation and causal inference.

Responsibilities

• Optimize delivery fees with algorithmic pricing strategies balancing conversion, customer experience and profitability.
• Solve the driver dispatch problem with optimization and ML for batching, assignment and routing to lower costs while keeping speed and reliability.
• Forecast demand at location × time to inform driver supply planning, scheduling and incentives.
• Design and analyze high-quality experiments (A/B, switchback, geo/market) with causal inference to measure impact.
• Own end-to-end solutions: frame problems, build features, deploy with engineering, monitor and improve in production.
• Partner with product, engineering, operations and finance to translate business questions into technical objectives and solutions.
• Deeply understand customers and delivery partners to identify ML and optimization opportunities.

Skills

Pricing optimization

Mathematical optimization

Time-series forecasting

Experimentation & causal inference

Machine learning

Python

SQL

Production deployment

Education

MS or PhD in relevant field

Tools

OR-Tools

Gurobi

Forecasting libraries

Job description

Gopuff in Philadelphia is seeking a Senior Data Scientist to lead data-driven models that optimize delivery fees, dispatch, and pricing on our platform. You will work across coordination with product, engineering and operations to drive measurable improvements in customer and partner experiences.

You will design experiments, build features, and deploy models to production, with a strong emphasis on causal inference and scalable ML across location-time granularity.