Senior Data Scientist – Delivery Tech

Gopuff

. Design, build and iterate algorithmic delivery fee strategies, including dynamic or contextual pricing .

Posted 10/14/2026full-timeRemote • United StatesSenior💰 $160,000 - $200,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in machine learning, optimization, and causal inference to develop and implement algorithmic strategies for pricing and demand forecasting. Proficient in translating complex business problems into actionable technical solutions while collaborating with cross-functional teams.

Highest-signal resume keywords

Machine Learning ExpertisePricing/Revenue OptimizationDemand ForecastingPython ProficiencySQL Proficiency

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Algorithm DesignMathematical OptimizationCausal InferenceExperimentation DesignTime-Series AnalysisData ScienceModel DeploymentStatistical Analysis

Soft Skills

Problem-SolvingCollaborationCommunication

Tools & Technologies

Source Control

Industry Keywords

Operations ResearchLogisticsMarketplaceDeliveryPricing Problems

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Design, build and iterate algorithmic delivery fee strategies, including dynamic or contextual pricing
Develop optimization and machine learning approaches for order batching, assignment and routing
Build demand forecasts to inform driver supply planning, scheduling, incentives and pricing
Design and analyze A/B, switchback and geo/market-level experiments using causal inference
Own solutions end to end: frame problems, build features and models, deploy with engineering partners, monitor, explain and improve production performance
Partner with product, engineering, operations and finance to turn business questions into shipped solutions
Identify opportunities for machine learning, optimization and causal inference by understanding customers, delivery partners and data

Requirements

What you’ll need

MS or PhD in Operations Research, Mathematics, Statistics, Economics, Computer Science, Engineering or a related field, with 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, experimentation and causal inference
Hands-on experience designing experiments in two-sided or operational marketplaces, including switchback or cluster-randomized designs and variance reduction
Ability to translate ambiguous business problems into clear technical objectives and deliver measurable results
Expertise in machine learning and statistics
Proficiency in Python, SQL and source control
Experience shipping models to production with engineering teams

Benefits

Comp & perks

Medical/Dental/Vision Insurance
401(k) Retirement Savings Plan
HSA or FSA eligibility
Long and Short-Term Disability Insurance
Fitness Reimbursement Program
25% employee discount & FAM Membership
Flexible PTO
Group Life Insurance
EAP through AllOne Health (formerly Carebridge)
Discretionary annual cash bonus
Participation in Gopuff’s equity incentive plan