{"schemaVersion":"jobsearcher.job.v1","id":"e85ead1d372e7b1a2e44be81","url":"https://jobsearcher.com/jobs/e85ead1d372e7b1a2e44be81","canonicalUrl":"https://jobsearcher.com/jobs/e85ead1d372e7b1a2e44be81","title":"Data Science PhD Intern","description":"Job DescriptionData Science PhD InternInstacartRemotePosted 14 hours agoOverviewJob descriptionAt Instacart, data science is the compass that guides our product strategy. We operate a complex, four-sided marketplace involving customers, shoppers, retailers, and CPG partners. Our mission is to create a world where everyone has access to the food they love. To achieve this, we don't just analyze data; we use rigorous quantitative methods to understand causality, optimize market efficiency, and design the economic architecture of our platform.We are looking for PhD students to join our Data Science & Analytics team for a 12-week summer internship. This role focuses on inference, experimentation, and strategy.About The JobYou will be embedded within a specific product team where you will work closely with a senior member of the team to act as a strategic partner to Product and Engineering.These Are Some Of The Potential Teams You'd JoinAdsCaper Smart CartsConsumer Growth and MarketingEcosystem (informing high-level company strategy)Experimentation PlatformFraud & PaymentsLogistics, Marketplace & FulfillmentShopper Experience & EngagementYour ImpactOwnership: You will work on and own a self-contained project that tackles an ambiguous business problem, using your research and analysis toolkit, to deliver actionable recommendations and/or applied prototypes.Solve ambiguous problems: You will take open-ended questions (e.g., \"How does delivery speed affect long-term retention?\" or \"What is the optimal auction mechanism for new ad formats?\") and structure them into solvable applied problems.Experimentation: Design and analyze complex experiments (e.g., switchback testing, difference-in-difference methods, quasi-experimental designs) to measure causal impact in a noisy multi-sided marketplace setting.Strategic deliverables: Go beyond analysis. You will synthesize your findings into strategic recommendations presented to senior leadership and cross-functional partners.About YouWe are looking for candidates who can bridge the gap between academic rigor and fast-paced industry application. This is an ideal opportunity to bring your strong domain expertise and apply in a real-world business context.Minimum QualificationsCurrently enrolled in a PhD program in Computer Science, Economics, Statistics, Operations Research, or a related quantitative field. Note: We typically look for students within 6-12 months of graduation who are interested in exploring full-time industry roles in the future.Strong proficiency in SQL (ability to manipulate large datasets independently).Fluency in Python or R for statistical modeling and data analysis.Expertise in experimentation and applied statistical and machine learning methods (hypothesis testing, regression, causal inference, machine learning).Ability to \"think on your feet,\" with a demonstrated ability to break down complex, unstructured problems.Preferred QualificationsSpecialized research focus in Causal Inference, Econometrics, Experimental Design, Mechanism Design/Auctions, or Optimization.Prior internship experience or work with large-scale observational data.The Internship ExperienceMentorship: You will be paired with a Senior Data Scientist mentor who will provide technical guidance, career coaching, and support throughout your 12 weeks.Real Impact: You will work on a specific, high-priority project.DETAILSTimeline: 12 weeks (Summer 2026).Locations: Remote, although we have offices in the following cities, and so have a slight preference towards folks located in these places and want to spend time in-person:San Francisco, CAToronto, ONNew York, NY","company":"ChatGPT","rawCompany":"chatgpt","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-04-09T15:42:11.448Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-2041.00","title":"Statisticians","slug":"statisticians"},{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"}],"industries":[{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"},{"code":"541715","title":"Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)","slug":"research-and-development-in-the-physical-engineering-and-life-sciences-except-nanotechnology-and-biotechnology"},{"code":"541720","title":"Research and Development in the Social Sciences and Humanities","slug":"research-and-development-in-the-social-sciences-and-humanities"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Science PhD Intern","description":"Job DescriptionData Science PhD InternInstacartRemotePosted 14 hours agoOverviewJob descriptionAt Instacart, data science is the compass that guides our product strategy. We operate a complex, four-sided marketplace involving customers, shoppers, retailers, and CPG partners. Our mission is to create a world where everyone has access to the food they love. To achieve this, we don't just analyze data; we use rigorous quantitative methods to understand causality, optimize market efficiency, and design the economic architecture of our platform.We are looking for PhD students to join our Data Science & Analytics team for a 12-week summer internship. This role focuses on inference, experimentation, and strategy.About The JobYou will be embedded within a specific product team where you will work closely with a senior member of the team to act as a strategic partner to Product and Engineering.These Are Some Of The Potential Teams You'd JoinAdsCaper Smart CartsConsumer Growth and MarketingEcosystem (informing high-level company strategy)Experimentation PlatformFraud & PaymentsLogistics, Marketplace & FulfillmentShopper Experience & EngagementYour ImpactOwnership: You will work on and own a self-contained project that tackles an ambiguous business problem, using your research and analysis toolkit, to deliver actionable recommendations and/or applied prototypes.Solve ambiguous problems: You will take open-ended questions (e.g., \"How does delivery speed affect long-term retention?\" or \"What is the optimal auction mechanism for new ad formats?\") and structure them into solvable applied problems.Experimentation: Design and analyze complex experiments (e.g., switchback testing, difference-in-difference methods, quasi-experimental designs) to measure causal impact in a noisy multi-sided marketplace setting.Strategic deliverables: Go beyond analysis. You will synthesize your findings into strategic recommendations presented to senior leadership and cross-functional partners.About YouWe are looking for candidates who can bridge the gap between academic rigor and fast-paced industry application. This is an ideal opportunity to bring your strong domain expertise and apply in a real-world business context.Minimum QualificationsCurrently enrolled in a PhD program in Computer Science, Economics, Statistics, Operations Research, or a related quantitative field. Note: We typically look for students within 6-12 months of graduation who are interested in exploring full-time industry roles in the future.Strong proficiency in SQL (ability to manipulate large datasets independently).Fluency in Python or R for statistical modeling and data analysis.Expertise in experimentation and applied statistical and machine learning methods (hypothesis testing, regression, causal inference, machine learning).Ability to \"think on your feet,\" with a demonstrated ability to break down complex, unstructured problems.Preferred QualificationsSpecialized research focus in Causal Inference, Econometrics, Experimental Design, Mechanism Design/Auctions, or Optimization.Prior internship experience or work with large-scale observational data.The Internship ExperienceMentorship: You will be paired with a Senior Data Scientist mentor who will provide technical guidance, career coaching, and support throughout your 12 weeks.Real Impact: You will work on a specific, high-priority project.DETAILSTimeline: 12 weeks (Summer 2026).Locations: Remote, although we have offices in the following cities, and so have a slight preference towards folks located in these places and want to spend time in-person:San Francisco, CAToronto, ONNew York, NY","datePosted":"2026-04-09T15:42:11.448Z","dateModified":"2026-04-09T15:42:11.448Z","hiringOrganization":{"@type":"Organization","name":"ChatGPT","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"e85ead1d372e7b1a2e44be81"},"url":"https://jobsearcher.com/jobs/e85ead1d372e7b1a2e44be81"}}