{"schemaVersion":"jobsearcher.job.v1","id":"4b2781f2d9659ca3956c709c","url":"https://jobsearcher.com/jobs/4b2781f2d9659ca3956c709c","canonicalUrl":"https://jobsearcher.com/jobs/4b2781f2d9659ca3956c709c","title":"Data Scientist (machine learning, data bricks) | TELECOMMUTE","description":"Principal Data Scientist100% TELECOMMUTE\r\nHours: Day Shifts 9-5 (can be adjusted to the individual). Team today operates in a number of time zones.\r\nDescription:\r\nRole will support 5 business segments; these business segments drive $$$m in marketing generated revenue, $$$m in HSA contributions, $$$M in medical cost savings, 1k MQLs.\r\nRole will support 25+ products across B2B & B2C.\r\nThe role will require a highly analytical and strategic Principal Data Scientist to drive data driven decision making and optimize marketing performance.\r\nThis role will leverage advanced analytics, machine learning and statistical modeling to uncover customer insights, enhance segmentation and predict key behaviors to drive engagement and conversion.\r\nThe role will collaborate closely with marketing, product and data engineering to ensure data accuracy, design impactful experiments and develop models that inform targeting, personalization and campaign optimization.\r\nThis role will be a key driver in future proofing our data & analytics environment as marketing initiatives expand.\r\nResponsible for being the SME on marketing data, data pipeline development & optimization, partner with stakeholders to ensure data requirements are aligned to business priorities, maintain documentation for data processes, verifies the accuracy of the data, maintains master inventory of OH data challenges/gaps, ensure availability of enriched data sets for analytics.\r\nTeam: Position sits within the Marketing Performance Analytics & Insights Team within Optum Health. There are 9 full time on shore FTEs and 3 off shore FTEs. Part of the team (9 FTEs) are responsible for performing data analysis and mining insights to be used in marketing optimization. The other part of this team is focused on data science work this is where this position will sit. There are currently three other onshore data scientists on the team.\r\nResponsibilities:\r\nCreate predictive models & consumer segmentation models using demographic, psychographic, econometric, and statistical data to enable personalized marketing. We have some existing models that need to be moved into a new environment and updated with a new 3rd party data source.\r\nCollaborate with marketing stakeholders to optimize campaigns, apply customer segmentation and drive personalization strategies\r\nUndertake rigorous and meticulous data analysis to extract and distill key population insights that will be consumed by functions such as marketing, product and client relations.\r\nAbility to work with imperfect data. Navigate and analyze complex, incomplete and sometimes unreliable data sources, applying statistical and rule- based approaches to clean and validate data.\r\nEnable analytic use cases by ensuring the availability of enriched data sets for campaign performance measurement, self serve analytics, audience segmentation and predictive modeling.\r\nInvestigate discrepancies in marketing datasets, troubleshoot anomalies, and collaborate with data engineers to improve data reliability and accessibility\r\nIdentify trends in member behavior and engagement.\r\nIdeal Background: Problem Solving Mindset: excited by the opportunity to work in a complex, messy data environment, solving ambiguous problems and translating analytics into actionable strategies. Not taking no for an answer, and instead willing to find compromise or drive towards uncovering a solution when no one else will. Results driven mindset in a constantly changing environment.\r\nSkills:\r\ndata pipeline development\r\nfamiliar with cloud services and working in data bricks\r\nexperience with programming language and proficiency data pipeline development\r\nknowledge of creating and maintaining data models tailored for marketing analytic use cases.\r\nProficiency in Python or R. SQL database querying experience and data manipulation/preparation.\r\nKnowledge of ML frameworks & algorithms and implementation.\r\nFamiliarity with data visualization tools.\r\nAbility to work in data bricks and experience at building ML models is a must\r\nRequired Skills: Data Analysis\r\nBasic Qualification:\r\nAdditional Skills:\r\nThis is a high PRIORITY requisition.","company":"Software Technology","rawCompany":"software technology","city":"New York","state":"NY","isRemote":true,"isActive":false,"createdAt":"2026-08-09T01:25:29.218Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"13-1161.00","title":"Market Research Analysts and Marketing Specialists","slug":"market-research-analysts-and-marketing-specialists"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Scientist (machine learning, data bricks) | TELECOMMUTE","description":"Principal Data Scientist100% TELECOMMUTE\r\nHours: Day Shifts 9-5 (can be adjusted to the individual). Team today operates in a number of time zones.\r\nDescription:\r\nRole will support 5 business segments; these business segments drive $$$m in marketing generated revenue, $$$m in HSA contributions, $$$M in medical cost savings, 1k MQLs.\r\nRole will support 25+ products across B2B & B2C.\r\nThe role will require a highly analytical and strategic Principal Data Scientist to drive data driven decision making and optimize marketing performance.\r\nThis role will leverage advanced analytics, machine learning and statistical modeling to uncover customer insights, enhance segmentation and predict key behaviors to drive engagement and conversion.\r\nThe role will collaborate closely with marketing, product and data engineering to ensure data accuracy, design impactful experiments and develop models that inform targeting, personalization and campaign optimization.\r\nThis role will be a key driver in future proofing our data & analytics environment as marketing initiatives expand.\r\nResponsible for being the SME on marketing data, data pipeline development & optimization, partner with stakeholders to ensure data requirements are aligned to business priorities, maintain documentation for data processes, verifies the accuracy of the data, maintains master inventory of OH data challenges/gaps, ensure availability of enriched data sets for analytics.\r\nTeam: Position sits within the Marketing Performance Analytics & Insights Team within Optum Health. There are 9 full time on shore FTEs and 3 off shore FTEs. Part of the team (9 FTEs) are responsible for performing data analysis and mining insights to be used in marketing optimization. The other part of this team is focused on data science work this is where this position will sit. There are currently three other onshore data scientists on the team.\r\nResponsibilities:\r\nCreate predictive models & consumer segmentation models using demographic, psychographic, econometric, and statistical data to enable personalized marketing. We have some existing models that need to be moved into a new environment and updated with a new 3rd party data source.\r\nCollaborate with marketing stakeholders to optimize campaigns, apply customer segmentation and drive personalization strategies\r\nUndertake rigorous and meticulous data analysis to extract and distill key population insights that will be consumed by functions such as marketing, product and client relations.\r\nAbility to work with imperfect data. Navigate and analyze complex, incomplete and sometimes unreliable data sources, applying statistical and rule- based approaches to clean and validate data.\r\nEnable analytic use cases by ensuring the availability of enriched data sets for campaign performance measurement, self serve analytics, audience segmentation and predictive modeling.\r\nInvestigate discrepancies in marketing datasets, troubleshoot anomalies, and collaborate with data engineers to improve data reliability and accessibility\r\nIdentify trends in member behavior and engagement.\r\nIdeal Background: Problem Solving Mindset: excited by the opportunity to work in a complex, messy data environment, solving ambiguous problems and translating analytics into actionable strategies. Not taking no for an answer, and instead willing to find compromise or drive towards uncovering a solution when no one else will. Results driven mindset in a constantly changing environment.\r\nSkills:\r\ndata pipeline development\r\nfamiliar with cloud services and working in data bricks\r\nexperience with programming language and proficiency data pipeline development\r\nknowledge of creating and maintaining data models tailored for marketing analytic use cases.\r\nProficiency in Python or R. SQL database querying experience and data manipulation/preparation.\r\nKnowledge of ML frameworks & algorithms and implementation.\r\nFamiliarity with data visualization tools.\r\nAbility to work in data bricks and experience at building ML models is a must\r\nRequired Skills: Data Analysis\r\nBasic Qualification:\r\nAdditional Skills:\r\nThis is a high PRIORITY requisition.","datePosted":"2026-08-09T01:25:29.218Z","dateModified":"2026-08-09T01:25:29.218Z","hiringOrganization":{"@type":"Organization","name":"Software Technology","sameAs":"https://jobsearcher.com"},"jobLocationType":"TELECOMMUTE","applicantLocationRequirements":{"@type":"Country","name":"US"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York","addressRegion":"NY","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"4b2781f2d9659ca3956c709c"},"url":"https://jobsearcher.com/jobs/4b2781f2d9659ca3956c709c"}}