--- title: 'Senior Data Scientist - Delivery Tech at Gopuff' canonical: 'https://feeny.ai/job/senior-data-scientist-delivery-tech-gopuff-united-states-zw9zgjxxt4hr' type: 'job' last_seen: '2026-10-18' --- # Senior Data Scientist - Delivery Tech at Gopuff - **Company:** Gopuff - **Location:** United States - **Employment:** full-time - **Work type:** remote - **Posted:** 2026-10-14 - **Last confirmed live:** 2026-10-18 - **Apply:** https://jobs.lever.co/gopuff/8783c988-e446-43a7-8a7d-b34a58397d22 ## Job description 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. ## About Gopuff ## Company Overview - **One-liner**: Gopuff is an on-demand delivery service that delivers everyday essentials—including snacks, drinks, household items, OTC medications, and alcohol—from local micro-fulfillment centers in as fast as 15 minutes. - **Entity Type**: Private (Series H funded; total funding $3.7B) - **Headquarters**: Philadelphia, Pennsylvania, United States - **Founded**: 2013 - **Founders**: Rafael Ilishayev and Yakir Gola (co-CEOs) ## Core Business - **Primary industry**: Instant commerce / on-demand delivery (Software Development & Logistics) - **Target customers**: B2C (consumers needing quick delivery of household essentials), also B2B via advertising platform (Gopuff Ads) - **Mission/purpose statement**: “Get it fast. Get it done. Get it right.” — offering a relevant and affordable assortment delivered in minutes. ## Products & Services - **Gopuff App**: Mobile ordering platform for 5,000+ products; delivery in ~15 minutes from local micro-fulfillment centers. (SaaS + logistics) - **Gopuff Ads**: Advertising platform for brands to reach customers within the app. (Ad tech) - **Retail Storefronts**: Physical retail locations (e.g., BevMo! and Liquor Barn) acquired and operated as part of the network. (Brick-and-mortar retail) ## Market Standing - **Valuation/Market Cap**: Not disclosed in search results; total funding $3.7B (latest round: $250M venture round in November 2025 led by Eldridge Industries and Valor Equity Partners). - **Key Metric**: Annual Revenue ~$1B (from LinkedIn); Total Funding $3.7B. - **Notable Investors/Partners**: SoftBank Vision Fund (led Series E $750M), Eldridge Industries, Valor Equity Partners; also backed by 7 investors in 2025 round. - **Growth Signals**: 1,315 employees (+4.6% YoY); operates 250+ facilities in 650+ U.S. cities; expanding in UK and other countries; active job postings trending +6.2% yearly. ## Competitive Advantages - **Vertically integrated model**: Owns inventory, micro-fulfillment centers, and delivery fleet, enabling faster and more reliable delivery than marketplace aggregators. - **Proprietary technology**: Optimized logistics and inventory management for 15-minute delivery windows. - **National infrastructure**: 250+ facilities across the U.S. and presence in the UK, giving scale advantages. ## Strategic Focus - Continued expansion of micro-fulfillment network and retail footprint (e.g., BevMo! integration). - Building out advertising revenue stream (Gopuff Ads). - International growth, particularly in the UK (General Manager for UK appointed). - Possibly improving operational efficiency and unit economics after rapid growth phase. ## Why Work Here - **Culture**: Mixed employee reviews — overall rating 2.7/5 on Glassdoor (30% would recommend). Positive mentions of flexible hours, good pay for drivers/operations, and supportive teams. Cons include poor management, lack of breaks, and frequent layoffs. - **Remote/hybrid policy**: Not explicitly stated; many roles are on-site (retail, warehouse, delivery) but some corporate roles (engineering, product) may be hybrid. Headquarters in Philadelphia. - **Notable perks**: Flexible scheduling for part-time roles; hourly wages for drivers around $20/hr; software engineer salaries reported at $122K–$172K. - **Engineering culture**: Technical team includes VP of Product and Engineering, Head of ML & AI (recent departure), and a distributed workforce across 24 countries. Technical roles account for ~2% of headcount. ## Sources 1. [LinkedIn Company Page](https://linkedin.com/company/gopuff) 2. [Indeed Reviews](https://www.indeed.com/cmp/Gopuff?campaignid=mobvjcmp&from=mobviewjob&fromjk=80f666803f1b8c33&tk=1jsktq4mmia5v800) 3. [Glassdoor Reviews](https://www.glassdoor.com/Reviews/Gopuff-Reviews-E926131.htm) 4. [Gopuff Careers Page (Lever)](https://jobs.lever.co/gopuff) 5. 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