{"schemaVersion":"jobsearcher.job.v1","id":"8fa14aa88cd05054e284752f","url":"https://jobsearcher.com/jobs/8fa14aa88cd05054e284752f","canonicalUrl":"https://jobsearcher.com/jobs/8fa14aa88cd05054e284752f","title":"Senior Data Scientist, Special Projects","description":"DESCRIPTION\nInnovators wanted! Are you an entrepreneur? A builder? A dreamer? This role is part of an Amazon Special Projects team that takes the company’s Think Big leadership principle to the limits. If you’re interested in innovating at scale to address big challenges in the world, this is the team for you.\n\nAs a Data Scientist on our team, you'll analyze complex data, develop statistical methodologies, and provide critical insights that shape how we optimize our solutions. Working closely with our Applied Science team, you'll help build robust analytical frameworks to improve healthcare outcomes. This role offers a unique opportunity to impact healthcare through data-driven innovation.\n\nKey job responsibilities\nIn this role, you will:\n\nAnalyze complex healthcare data to identify patterns, trends, and insights\nDevelop and validate statistical methodologies\nCreate and maintain analytical frameworks\nProvide recommendations on data collection strategies\nCollaborate with Applied Scientists to support model development efforts\nDesign and implement statistical analyses to validate analytical approaches\nPresent findings to stakeholders and contribute to scientific publications\nWork with cross-functional teams to ensure solutions are built on sound statistical foundations\nDesign and implement causal inference analyses to understand underlying mechanisms\nDevelop frameworks for identifying and validating causal relationships in complex systems\nWork with stakeholders to translate causal insights into actionable recommendations\n\nA day in the life\nYou'll work with large-scale healthcare datasets, conducting sophisticated statistical analyses to generate actionable insights. You'll collaborate with Applied Scientists to validate model predictions and ensure statistical rigor in our approach. Regular interaction with product teams will help translate analytical findings into practical improvements for our services.\n\nAbout the team\nWe represent Amazon's ambitious vision to solve the world's most pressing challenges. We are exploring new approaches to enhance research practices in the healthcare space, leveraging Amazon's scale and technological expertise. We operate with the agility of a startup while backed by Amazon's resources and operational excellence. We're looking for builders who are excited about working on ambitious, undefined problems and are comfortable with ambiguity.\nBASIC QUALIFICATIONS\nMS or PhD in Statistics, Biostatistics, Data Science, or related quantitative field\n5+ years of experience applying statistical methods to healthcare data\nProficiency in Python, R, or similar programming languages for data analysis\nExperience with statistical modeling and analysis of longitudinal data\nStrong background in experimental design and hypothesis testing\nDemonstrated expertise in handling large, complex datasets\nPREFERRED QUALIFICATIONS\nPhD in Statistics, Biostatistics, Data Science, or related quantitative field\nExperience analyzing healthcare data\nKnowledge of healthcare industry regulations and processes\nFamiliarity with healthcare data standards\nPublication record in relevant scientific journals\nExperience with distributed computing platforms\nStrong communication skills and ability to present technical concepts to non-technical audiences\nFamiliarity with healthcare data standards\nExperience applying causal inference frameworks to real-world problems\nFamiliarity with modern causal discovery and inference techniques\nKnowledge of counterfactual analysis methods\n\nAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.\n\nOur inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.\n\nOur compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.\n\nJob details\nUSA, WA, Seattle\nData Science","company":"Amazon.com","rawCompany":"amazoncom","city":"Seattle","state":"WA","isRemote":false,"isActive":false,"createdAt":"2026-04-14T10:18:40.761Z","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":"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":"541990","title":"All Other Professional, Scientific, and Technical Services","slug":"all-other-professional-scientific-and-technical-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Data Scientist, Special Projects","description":"DESCRIPTION\nInnovators wanted! Are you an entrepreneur? A builder? A dreamer? This role is part of an Amazon Special Projects team that takes the company’s Think Big leadership principle to the limits. If you’re interested in innovating at scale to address big challenges in the world, this is the team for you.\n\nAs a Data Scientist on our team, you'll analyze complex data, develop statistical methodologies, and provide critical insights that shape how we optimize our solutions. Working closely with our Applied Science team, you'll help build robust analytical frameworks to improve healthcare outcomes. This role offers a unique opportunity to impact healthcare through data-driven innovation.\n\nKey job responsibilities\nIn this role, you will:\n\nAnalyze complex healthcare data to identify patterns, trends, and insights\nDevelop and validate statistical methodologies\nCreate and maintain analytical frameworks\nProvide recommendations on data collection strategies\nCollaborate with Applied Scientists to support model development efforts\nDesign and implement statistical analyses to validate analytical approaches\nPresent findings to stakeholders and contribute to scientific publications\nWork with cross-functional teams to ensure solutions are built on sound statistical foundations\nDesign and implement causal inference analyses to understand underlying mechanisms\nDevelop frameworks for identifying and validating causal relationships in complex systems\nWork with stakeholders to translate causal insights into actionable recommendations\n\nA day in the life\nYou'll work with large-scale healthcare datasets, conducting sophisticated statistical analyses to generate actionable insights. You'll collaborate with Applied Scientists to validate model predictions and ensure statistical rigor in our approach. Regular interaction with product teams will help translate analytical findings into practical improvements for our services.\n\nAbout the team\nWe represent Amazon's ambitious vision to solve the world's most pressing challenges. We are exploring new approaches to enhance research practices in the healthcare space, leveraging Amazon's scale and technological expertise. We operate with the agility of a startup while backed by Amazon's resources and operational excellence. We're looking for builders who are excited about working on ambitious, undefined problems and are comfortable with ambiguity.\nBASIC QUALIFICATIONS\nMS or PhD in Statistics, Biostatistics, Data Science, or related quantitative field\n5+ years of experience applying statistical methods to healthcare data\nProficiency in Python, R, or similar programming languages for data analysis\nExperience with statistical modeling and analysis of longitudinal data\nStrong background in experimental design and hypothesis testing\nDemonstrated expertise in handling large, complex datasets\nPREFERRED QUALIFICATIONS\nPhD in Statistics, Biostatistics, Data Science, or related quantitative field\nExperience analyzing healthcare data\nKnowledge of healthcare industry regulations and processes\nFamiliarity with healthcare data standards\nPublication record in relevant scientific journals\nExperience with distributed computing platforms\nStrong communication skills and ability to present technical concepts to non-technical audiences\nFamiliarity with healthcare data standards\nExperience applying causal inference frameworks to real-world problems\nFamiliarity with modern causal discovery and inference techniques\nKnowledge of counterfactual analysis methods\n\nAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.\n\nOur inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.\n\nOur compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.\n\nJob details\nUSA, WA, Seattle\nData Science","datePosted":"2026-04-14T10:18:40.761Z","dateModified":"2026-04-14T10:18:40.761Z","hiringOrganization":{"@type":"Organization","name":"Amazon.com","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Seattle","addressRegion":"WA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"8fa14aa88cd05054e284752f"},"url":"https://jobsearcher.com/jobs/8fa14aa88cd05054e284752f"}}