Senior Data Scientist - Delivery Tech
Gopuff · United States
What the posting says
Each fact was read from this posting and checked:Statedin the posting, quotedConflictsposted two ways, both shownNot mentionedwe looked; it is not there
- PayStated
- $160,000–$200,000 a year
- Employment typeStated
- Full time
- Work arrangementStated
- Remote OK
- ExperienceStated
- 5-10 years
- EducationStated
- ['postgraduate degree']
Not mentioned in this posting
We read the whole posting. These are not in it. Not a no: ask the recruiter, in your own words.
- ShiftNot mentioned
- The posting does not say
- Visa sponsorshipNot mentioned
- The posting does not say
Requirements, each with its sentence from the posting
These are the employer’s words. The index does not judge whether you meet them.
- MS or PhD in Operations Research, Mathematics, Statistics, Economics, Computer Science or related fieldrequired
MS or PhD in Operations Research, Mathematics, Statistics, Economics, Computer Science, Engineering or a related field
from the posting - Delivery, logistics, marketplace or pricing problems experiencerequired
with 2+ years of experience in delivery, logistics, marketplace or pricing problems (or 8+ years of industry experience in data science).
from the posting - Pricing/revenue optimizationrequired
Strong background in at least two of the following: pricing/revenue optimization, mathematical optimization
from the posting - Mathematical optimizationrequired
Strong background in at least two of the following: pricing/revenue optimization, mathematical optimization (e.g., MIP, assignment and routing problems, heuristics)
from the posting - Machine learning and statisticsrequired
Expertise in machine learning and statistics.
from the posting - Pythonrequired
Proficiency in Python, SQL and source control; experience shipping models to production with engineering teams.
from the posting - SQLrequired
Proficiency in Python, SQL and source control; experience shipping models to production with engineering teams.
from the posting - Source controlrequired
Proficiency in Python, SQL and source control; experience shipping models to production with engineering teams.
from the posting - Experiment design in two-sided or operational marketplacesrequired
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).
from the posting - Translating business problems into technical objectivesrequired
A proven ability to translate ambiguous business problems into clear technical objectives and deliver concrete, measurable results.
from the posting - Time-series and demand forecastingrequired
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.
from the posting - Causal inferencerequired
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.
from the posting - On-demand delivery, ride-hailing or gig-economy experiencepreferred
Experience in on-demand delivery, ride-hailing or gig-economy marketplaces.
from the posting - Optimization solverspreferred
Familiarity with optimization solvers (e.g., OR-Tools, Gurobi) and forecasting libraries.
from the posting - ETA predictionpreferred
Experience with ETA prediction or driver incentive and pay design.
from the posting
Read the full posting as the employer wrote it
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
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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.
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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.
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Forecast demand: Build accurate, well-calibrated demand forecasts at the right granularity (location × time) to inform driver supply planning, scheduling, incentives and pricing decisions.
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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.
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Own solutions end to end: frame the problem, build features and models, deploy with engineering partners, then monitor, explain and improve performance in production.
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Partner with product, engineering, operations and finance to turn ambiguous business questions into well-defined technical objectives and shipped solutions.
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Deeply understand our customers, delivery partners and data to find new opportunities for ML, optimization and causal inference.
You Have
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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).
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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.
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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).
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A proven ability to translate ambiguous business problems into clear technical objectives and deliver concrete, measurable results.
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Expertise in machine learning and statistics.
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Proficiency in Python, SQL and source control; experience shipping models to production with engineering teams.
Nice to Have
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Experience in on-demand delivery, ride-hailing or gig-economy marketplaces.
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Familiarity with optimization solvers (e.g., OR-Tools, Gurobi) and forecasting libraries.
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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
The posting text is reproduced as the employer wrote it; the index adds nothing to it.