Pay: $160,000–200,000/year · BaseAnnual period assumed — pay source
This role is eligible for a discretionary annual cash bonus and participation in Gopuff’s equity incentive plan. Remote Base Salary Range: $160,000 - $200,000 At Gopuff, we know that life can be unpredictable. Sometimes you forget the milk at the store, run out of pet food for Fido, or just really need ice cream at 11 pm. We get it—stuff happens. But that’s where we come in, delivering all your wants and needs in just minutes.
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Work setting: Not stated
Employment: Full-time — employment source
Employment type Full Time
Employment type in the employer’s listing: Full Time
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What you’ll work on

Full posting

Design and iterate on algorithmic delivery fee strategies
Develop optimization and ML approaches for order batching, assignment and routing
Build location-by-time demand forecasts for driver supply planning
Design and analyze A/B, switchback and geo experiments in a marketplace
Own models end to end, from framing to deployment and monitoring

From the employer’s posting

Design, build and iterate on algorithmic delivery fee strategies

Develop optimization and ML approaches to order batching, assignment and routing

Build accurate, well-calibrated demand forecasts at the right granularity (location × time)

Design and analyze high-quality tests, including A/B, switchback and geo/market-level designs

Own solutions end to end: frame the problem, build features and models, deploy with engineering partners, then monitor, explain and improve performance in production.

Education & alternatives

You Have - 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 the following: pricing/revenue optimization, mathematical optimization (e.g., MIP, assignment and routing problems, heuristics), time-series and demand forecasting, experimentation and causal inference.

Tools in this posting

Python
SQL

Source

- Expertise in machine learning and statistics. - Proficiency in Python, SQL and source control; experience shipping models to production with engineering teams. Nice to Have

Benefits in the posting

Full benefits wording

Medical/Dental/Vision Insurance
401(k) Retirement Savings Plan
HSA or FSA eligibility
Long and Short-Term Disability Insurance
Fitness Reimbursement Program
Flexible PTO
Group Life Insurance
EAP through AllOne Health (formerly Carebridge)
You Will
You Have
Nice to Have

From the employer’s posting.

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Status in our records: Live
First seen by us: Oct 16, 2026 · 2 days ago
Recorded sightings: 2
Last seen by us: Oct 18, 2026
Employer says posted: Oct 14, 2026

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Job description

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Are you passionate about data science? Do you describe yourself as an innovative problem solver? Looking for an opportunity that will directly impact the customer experience at Gopuff? Come join the Gopuff Data Science team and #ChangeTheGame. Gopuff is a high-growth startup that is revolutionizing hyper-local instant e-commerce. We warehouse and deliver tens of thousands of products to your door super fast.

As a Senior Data Scientist at Gopuff working on the Delivery Technology Team, you will lead the vision and delivery of data driven models to optimize the delivery experience for consumers and delivery partners on our platform across dispatch optimization, delivery routing/ETAs, driver pricing/incentives, as well as the delivery partner experience. All of that, with a direct impact on the delivery experience that is so core to serving our customers’ immediate needs, means you’ll have the opportunity to make a huge impact on the future success of Gopuff.

We’re looking for a doer, problem solver, and thought-leader.

What We Offer

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)

You Will

Optimize delivery fees: Design, build and iterate on algorithmic delivery fee strategies (e.g., dynamic or contextual pricing by location, time, basket and capacity) that balance conversion, customer experience and profitability.

Solve the driver dispatch problem: Develop optimization and ML approaches to order batching, assignment and routing that lower overall delivery cost while keeping speed and reliability high.

Forecast demand: Build accurate, well-calibrated demand forecasts at the right granularity (location × time) to inform driver supply planning, scheduling, incentives and pricing decisions.

Run rigorous experiments: Design and analyze high-quality tests, including A/B, switchback and geo/market-level designs, that account for marketplace interference, and use causal inference to measure true impact on customer and business metrics.

Own solutions end to end: frame the problem, build features and models, deploy with engineering partners, then monitor, explain and improve performance in production.

Partner with product, engineering, operations and finance to turn ambiguous business questions into well-defined technical objectives and shipped solutions.

Deeply understand our customers, delivery partners and data to find new opportunities for ML, optimization and causal inference.

You Have

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 the following: pricing/revenue optimization, mathematical optimization (e.g., MIP, assignment and routing problems, heuristics), time-series and demand forecasting, experimentation and causal inference.

Hands-on experience designing experiments in two-sided or operational marketplaces where standard A/B tests break down (e.g., switchback or cluster-randomized designs, variance reduction).

A proven ability to translate ambiguous business problems into clear technical objectives and deliver concrete, measurable results.

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 (e.g., OR-Tools, Gurobi) and forecasting libraries.

Experience with ETA prediction or driver incentive and pay design.

Compensation

Gopuff pays employees based on market pricing and pay may vary depending on your location. The salary range below reflects what we’d reasonably expect to pay candidates. A candidate’s starting pay will be determined based on job-related skills, experience, qualifications, interview performance, and market conditions. These ranges may be modified in the future. Exceptions may be made for exceptional individuals. For additional information on this role’s compensation package, please reach out to the designated recruiter for this role.
This role is eligible for a discretionary annual cash bonus and participation in Gopuff’s equity incentive plan.
Remote Base Salary Range: $160,000 - $200,000

At Gopuff, we know that life can be unpredictable. Sometimes you forget the milk at the store, run out of pet food for Fido, or just really need ice cream at 11 pm. We get it—stuff happens. But that’s where we come in, delivering all your wants and needs in just minutes.

And now, we’re assembling a team of motivated people to help us drive forward that vision to bring a new age of convenience and predictability to an unpredictable world.

Like what you’re hearing? Then join us on Team Blue.

#LI-GOPUFF

Gopuff is an equal employment opportunity employer, committed to an inclusive workplace where we do not discriminate on the basis of race, sex, gender, national origin, religion, sexual orientation, gender identity, marital or familial status, age, ancestry, disability, genetic information, or any other characteristic protected by applicable laws. We believe in diversity and encourage any qualified individual to apply.

Employment type

Full Time

Source details

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Pay: This role is eligible for a discretionary annual cash bonus and participation in Gopuff’s equity incentive plan. Remote Base Salary Range: $160,000 - $200,000 At Gopuff, we know that life can be unpredictable. Sometimes you forget the milk at the store, run out of pet food for Fido, or just really need ice cream at 11 pm. We get it—stuff happens. But that’s where we come in, delivering all your wants and needs in just minutes.
Location & working pattern: United States
- This role is eligible for a discretionary annual cash bonus and participation in Gopuff’s equity incentive plan. - Remote Base Salary Range: $160,000 - $200,000 At Gopuff, we know that life can be unpredictable. Sometimes you forget the milk at the store, run out of pet food for Fido, or just really need ice cream at 11 pm. We get it—stuff happens. But that’s where we come in, delivering all your wants and needs in just minutes.
Work authorization: No clear work-authorization passage found. Eligibility is unconfirmed.

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Senior Data Scientist - Delivery Tech