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HomeCompaniesGopuffSenior Data Scientist - Delivery Technology

Senior Data Scientist - Delivery Technology

Gopuff · Philadelphia, PA · Remote · Active · $175,000–$195,000 / year · Lever

Job facts

FieldValue
CompanyGopuff
TitleSenior Data Scientist - Delivery Technology
Normalized title-
Department / teamTech, Product, & Design / Data & Analytics
LocationPhiladelphia, PA, United States
Work modelRemote / Remote
Employment typeFull Time
Salary$175,000–$195,000 / year
Statusactive
ATS providerLever
Posted / first seen2025-12-23 / 2026-05-29
Changed / last seen2026-05-29 / 2026-06-18

Related slices

PageWhat it containsOpen
Company jobsActive postings from Gopuff.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Lever.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Philadelphia.Open
Department jobsActive postings in Tech, Product, & Design.Open
Work model jobsActive Remote postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyGopuff
Source71e216e9-8733-412d-a57f-0a4ccf39db30
ATS providerLever

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. 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. You Will Own the end-to-end development and operation of deep learning–based ETA prediction systems—building features, training/testing models, running experiments, monitoring and explaining performance in production. Collaborate with our business, product, and engineering partners across the organization to vision and deliver data science solutions for practical business problems. Deeply understand our users, our products, and our data to identify opportunities for creating machine learning, optimization and causal inference solutions to deliver a better customer experience and make our business more efficient. Build data driven, robust and replicable data science models. Use experimentation and causal inference to measure the impact of our models on user engagement and business metrics. You Have MS or PhD in Operations Research, Mathematics, Statistics, Economics, Computer Science, Engineering or a related field with 2+ years of experience working in delivery and/or logistics (or 8+ years of industry experience in data science). Strong ability in translating ambiguous business problems into well-defined technical objectives and providing concrete data science solutions. Expert in machine learning, statistics, and experimentation. Proficient in Python, SQL, and source control management tools. 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. On-site Base Salary Range : $175,000 - $195,000 Remote Base Salary Range : $155,000 - $175,000 What We Offer Medical/Dental/Vision Insurance 401(k) Retirement Savings Plan HSA or FSA eligibility Long and Short-Term Disability Insurance Mental Health Benefits Fitness Reimbursement Program 25% employee discount & FAM Membership Flexible PTO Group Life Insurance EAP through AllOne Health (formerly Carebridge)

Full job record

Job ID114efba22be8aa29dca383cbef7cfd503d19760b
Org ID967a89a2-2aee-4aae-9ad5-3fc3eba135ff
Source ID71e216e9-8733-412d-a57f-0a4ccf39db30
Board ID71e216e9-8733-412d-a57f-0a4ccf39db30
Providerlever
Provider Job Key190c52ef-d0f4-47fe-8e0f-1135929db096
TitleSenior Data Scientist - Delivery Technology
Normalized Title
Statusactive
Activeyes
Location TextPhiladelphia, PA
DepartmentTech, Product, & Design
TeamData & Analytics
Employment TypeFull Time
Workplace Typeremote
Remote Policyremote
CountryUnited States
RegionPA
CityPhiladelphia
Salary RawSalary Range : $175,000 - $195,000 Remote Base Salary Range : $155,000 - $175,000 What We Offer Medical/Dental/Vis
Salary Min175,000
Salary Max195,000
Salary CurrencyUSD
Salary Periodyear
Source URLhttps://jobs.lever.co/gopuff/190c52ef-d0f4-47fe-8e0f-1135929db096
Apply URLhttps://jobs.lever.co/gopuff/190c52ef-d0f4-47fe-8e0f-1135929db096/apply
First Seen At2026-05-29 07:02:42Z
Last Seen At2026-06-18 07:56:26Z
Last Checked At2026-06-18 07:56:26Z
Last Changed At2026-05-29 07:02:42Z
Inactive At
Source Posted At2025-12-23 17:31:56Z
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=lever/board=gopuff/date=2026-06-18/2026-06-18T07-56-22-339Z-bf9af0dd88f5e217fc6a076b6db5e668061751a408db96db0eb077a9a0aafdba.json
Event Fields
{
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  "last_changed_at": "2026-05-29T07:02:42.875Z",
  "active_status": "active"
}
Parsed Structured
{
  "language": "en",
  "location": {
    "raw": "Philadelphia, PA",
    "city": "Philadelphia",
    "region": "PA",
    "country": "United States",
    "is_remote": true,
    "confidence": 0.9
  },
  "salary_max": 195000,
  "salary_min": 175000,
  "inferred_at": "2026-06-18T07:56:26.343Z",
  "launch_scope": {
    "reason": "english_us_canada",
    "included": true,
    "language": "en",
    "location": {
      "raw": "Philadelphia, PA",
      "city": "Philadelphia",
      "region": "PA",
      "country": "United States",
      "is_remote": true,
      "confidence": 0.9
    },
    "countries": [
      "United States"
    ]
  },
  "remote_policy": "remote",
  "salary_period": "year",
  "workplace_type": "remote",
  "salary_currency": "USD"
}
Extensions
{}
Native Structured
{
  "lists": [
    {
      "text": "You Will",
      "content": "\n<li>Own the end-to-end development and operation of deep learning–based ETA prediction systems—building features, training/testing models, running experiments, monitoring and explaining performance in production.</li>\n<li>Collaborate with our business, product, and engineering partners across the organization to vision and deliver data science solutions for practical business problems.</li>\n<li>Deeply understand our users, our products, and our data to identify opportunities for creating machine learning, optimization and causal inference solutions to deliver a better customer experience and make our business more efficient.</li>\n<li>Build data driven, robust and replicable data science models.</li>\n<li>Use experimentation and causal inference to measure the impact of our models on user engagement and business metrics.</li>\n"
    },
    {
      "text": "You Have",
      "content": "\n<li>MS or PhD in Operations Research, Mathematics, Statistics, Economics, Computer Science, Engineering or a related field with 2+ years of experience working in delivery and/or logistics (or 8+ years of industry experience in data science).</li>\n<li>Strong ability in translating ambiguous business problems into well-defined technical objectives and providing concrete data science solutions.</li>\n<li>Expert in machine learning, statistics, and experimentation.</li>\n<li>Proficient in Python, SQL, and source control management tools.</li>\n"
    },
    {
      "text": "Compensation",
      "content": "\n<li>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.</li>\n<li>This role is eligible for a discretionary annual cash bonus and participation in Gopuff’s equity incentive plan.</li>\n<li><strong>On-site Base Salary Range</strong>:&nbsp;$175,000 - $195,000</li>\n<li><strong>Remote Base Salary Range</strong>: $155,000 - $175,000</li>\n"
    },
    {
      "text": "What We Offer",
      "content": "\n<li>Medical/Dental/Vision Insurance&nbsp;</li>\n<li>401(k) Retirement Savings Plan</li>\n<li>HSA or FSA eligibility</li>\n<li>Long and Short-Term Disability Insurance</li>\n<li>Mental Health Benefits</li>\n<li>Fitness Reimbursement Program</li>\n<li>25% employee discount &amp; FAM Membership</li>\n<li>Flexible PTO</li>\n<li>Group Life Insurance</li>\n<li>EAP through AllOne Health (formerly Carebridge)</li>\n"
    }
  ],
  "country": "US",
  "createdAt": 1766511116667,
  "updatedAt": null,
  "categories": {
    "team": "Data & Analytics",
    "location": "Philadelphia, PA",
    "commitment": "Full Time",
    "department": "Tech, Product, & Design",
    "allLocations": [
      "Philadelphia, PA",
      "Miami, FL"
    ]
  },
  "salaryRange": null,
  "workplaceType": "remote"
}
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