{"schemaVersion":"jobsearcher.job.v1","id":"2c2913df2fbd3ba09c44641e","url":"https://jobsearcher.com/jobs/2c2913df2fbd3ba09c44641e","canonicalUrl":"https://jobsearcher.com/jobs/2c2913df2fbd3ba09c44641e","title":"Lead Data Scientist, Core, Level 6","description":"Overview\nAs Lead Data Scientist, you will serve as the subject-matter expert for experimentation and causal inference, guiding major cross-functional initiatives. You will architect and maintain scalable data products, aligning analytical work with company OKRs to influence executive decisions. You will collaborate with product, engineering, and research teams to uncover opportunities and shape strategy through rigorous analytics. You will foster an inclusive, high-performing team culture and drive end-to-end data science delivery. This role offers a chance to contribute to Snap's data-driven decision making at scale and apply advanced analytics to real-world product problems.\n\nCompensation / Benefitspaid parental leavecomprehensive medical coverageemotional and mental health support programsequity-based compensationflexible work arrangementscareer development opportunities\nResponsibilitiesAct as SME for experimentation and causal inference methodologies across the organizationLead medium to large cross-functional projects with multiple groups and stakeholdersArchitect, implement, and maintain scalable statistics, ML, and data products for internal toolingTranslate complex statistical concepts into strategic approaches aligned with OKRsFoster an inclusive and high-performing team environmentCollaborate with product managers, engineers, and researchers to identify opportunities and shape product strategyConduct in-depth analysis of data sources, test hypotheses, and provide business contextLead regular insights share-outs to amplify the consumer voiceDeliver on the analytics roadmap with continuous improvement, timely reporting, and measurementProvide strategic direction, methodological consultation, and delivery of resultsPromote quality, innovation, and experimentation; leverage AI tools for scalable solutions while upholding statistical rigor\nKey requirementsDeep knowledge of advanced statistical analysis and modern computational packages (e.g., SciPy, statsmodels, EconML) or equivalent R ecosystemsProven ability to transform data into insights that drive growth and performanceStrong experience in predictive modeling, machine learning, and experimentation/causal inferenceExpertise in data orchestration pipelinesExpertise in SQL and strong proficiency with Python or RExcellent communication with high attention to detailAbility to initiate and drive projects with minimal guidanceAbility to balance practical business needs with scientific rigorTrack record of end-to-end adoption through stakeholder feedback and iterationAdaptability in applying evolving AI systems and tools for data-driven decision makingstrong communication skillscollaboration and cross-functional teamworkstrategic thinkingPythonRSQL","company":"Snap","rawCompany":"snap","city":"Bloomington","state":"IL","isRemote":false,"isActive":false,"createdAt":"2026-09-22T03:33:28.631Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-2041.00","title":"Statisticians","slug":"statisticians"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"}],"industries":[{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Lead Data Scientist, Core, Level 6","description":"Overview\nAs Lead Data Scientist, you will serve as the subject-matter expert for experimentation and causal inference, guiding major cross-functional initiatives. You will architect and maintain scalable data products, aligning analytical work with company OKRs to influence executive decisions. You will collaborate with product, engineering, and research teams to uncover opportunities and shape strategy through rigorous analytics. You will foster an inclusive, high-performing team culture and drive end-to-end data science delivery. This role offers a chance to contribute to Snap's data-driven decision making at scale and apply advanced analytics to real-world product problems.\n\nCompensation / Benefitspaid parental leavecomprehensive medical coverageemotional and mental health support programsequity-based compensationflexible work arrangementscareer development opportunities\nResponsibilitiesAct as SME for experimentation and causal inference methodologies across the organizationLead medium to large cross-functional projects with multiple groups and stakeholdersArchitect, implement, and maintain scalable statistics, ML, and data products for internal toolingTranslate complex statistical concepts into strategic approaches aligned with OKRsFoster an inclusive and high-performing team environmentCollaborate with product managers, engineers, and researchers to identify opportunities and shape product strategyConduct in-depth analysis of data sources, test hypotheses, and provide business contextLead regular insights share-outs to amplify the consumer voiceDeliver on the analytics roadmap with continuous improvement, timely reporting, and measurementProvide strategic direction, methodological consultation, and delivery of resultsPromote quality, innovation, and experimentation; leverage AI tools for scalable solutions while upholding statistical rigor\nKey requirementsDeep knowledge of advanced statistical analysis and modern computational packages (e.g., SciPy, statsmodels, EconML) or equivalent R ecosystemsProven ability to transform data into insights that drive growth and performanceStrong experience in predictive modeling, machine learning, and experimentation/causal inferenceExpertise in data orchestration pipelinesExpertise in SQL and strong proficiency with Python or RExcellent communication with high attention to detailAbility to initiate and drive projects with minimal guidanceAbility to balance practical business needs with scientific rigorTrack record of end-to-end adoption through stakeholder feedback and iterationAdaptability in applying evolving AI systems and tools for data-driven decision makingstrong communication skillscollaboration and cross-functional teamworkstrategic thinkingPythonRSQL","datePosted":"2026-09-22T03:33:28.631Z","dateModified":"2026-09-22T03:33:28.631Z","hiringOrganization":{"@type":"Organization","name":"Snap","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bloomington","addressRegion":"IL","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"2c2913df2fbd3ba09c44641e"},"url":"https://jobsearcher.com/jobs/2c2913df2fbd3ba09c44641e"}}