{"schemaVersion":"jobsearcher.job.v1","id":"3cfd2d69c36e2712e8bdf049","url":"https://jobsearcher.com/jobs/3cfd2d69c36e2712e8bdf049","canonicalUrl":"https://jobsearcher.com/jobs/3cfd2d69c36e2712e8bdf049","title":"Data Scientist","description":"Role Overview:\nWe are seeking a Data Scientist to work closely with our backend and algorithm teams. This role will involve building out the core machine learning and recommendation systems to power our personalized product offering. You will use your expertise in data analysis and modeling to develop insights, enhance product formulations, and ensure compatibility in real-time.\nKey Responsibilities:\nDevelop machine learning algorithms to analyze user data and recommend personalized products.\nBuild models for ingredient compatibility, dosage, and optimal product formulations.\nAnalyze large datasets to derive insights and support product recommendations.\nCollaborate with developers to integrate models into the API for real-time use.\nDesign A/B tests to evaluate algorithm effectiveness and improve performance.\nDocument processes and ensure alignment with business goals.\nRequired Skills:\nProficiency in Python, R, or similar data analysis tools.\nExperience with machine learning algorithms, data mining, and statistical modeling.\nStrong understanding of SQL and relational databases.\nExperience working with large datasets and building recommendation systems.\nFamiliarity with cloud platforms (AWS, Google Cloud) for deploying models.\nBonus: Experience in the nutrition or supplement industry.\nQualifications:\nBachelor’s or Master’s degree in Data Science, Statistics, or equivalent experience.\n3+ years of experience in data science or a related field.\nStrong communication skills and ability to translate complex models into actionable insights.\nJob Types: Full-time, Contract\nPay: $118,611.00 - $128,154.00 per year\nBenefits:\n401(k)\nDental insurance\nHealth insurance\nCompensation Package:\nYearly pay\nSchedule:\n8 hour shift\nMonday to Friday\nExperience:\nAWS: 1 year (Required)\nPython: 1 year (Required)\nSQL: 1 year (Required)\nDatabases: 1 year (Required)\nWork Location: Remote","company":"Nutrx","rawCompany":"nutrx","city":"Remote","state":"OR","isRemote":false,"isActive":false,"createdAt":"2026-08-04T14:38:33.116Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"industries":[{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Scientist","description":"Role Overview:\nWe are seeking a Data Scientist to work closely with our backend and algorithm teams. This role will involve building out the core machine learning and recommendation systems to power our personalized product offering. You will use your expertise in data analysis and modeling to develop insights, enhance product formulations, and ensure compatibility in real-time.\nKey Responsibilities:\nDevelop machine learning algorithms to analyze user data and recommend personalized products.\nBuild models for ingredient compatibility, dosage, and optimal product formulations.\nAnalyze large datasets to derive insights and support product recommendations.\nCollaborate with developers to integrate models into the API for real-time use.\nDesign A/B tests to evaluate algorithm effectiveness and improve performance.\nDocument processes and ensure alignment with business goals.\nRequired Skills:\nProficiency in Python, R, or similar data analysis tools.\nExperience with machine learning algorithms, data mining, and statistical modeling.\nStrong understanding of SQL and relational databases.\nExperience working with large datasets and building recommendation systems.\nFamiliarity with cloud platforms (AWS, Google Cloud) for deploying models.\nBonus: Experience in the nutrition or supplement industry.\nQualifications:\nBachelor’s or Master’s degree in Data Science, Statistics, or equivalent experience.\n3+ years of experience in data science or a related field.\nStrong communication skills and ability to translate complex models into actionable insights.\nJob Types: Full-time, Contract\nPay: $118,611.00 - $128,154.00 per year\nBenefits:\n401(k)\nDental insurance\nHealth insurance\nCompensation Package:\nYearly pay\nSchedule:\n8 hour shift\nMonday to Friday\nExperience:\nAWS: 1 year (Required)\nPython: 1 year (Required)\nSQL: 1 year (Required)\nDatabases: 1 year (Required)\nWork Location: Remote","datePosted":"2026-08-04T14:38:33.116Z","dateModified":"2026-08-04T14:38:33.116Z","hiringOrganization":{"@type":"Organization","name":"Nutrx","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote","addressRegion":"OR","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"3cfd2d69c36e2712e8bdf049"},"url":"https://jobsearcher.com/jobs/3cfd2d69c36e2712e8bdf049"}}