{"schemaVersion":"jobsearcher.job.v1","id":"6239f2bfd59da388aa87a636","url":"https://jobsearcher.com/jobs/6239f2bfd59da388aa87a636","canonicalUrl":"https://jobsearcher.com/jobs/6239f2bfd59da388aa87a636","title":"Lead Data Scientist","description":"About Infactory\nWe’re Infactory. Our mission is to further AI innovation through facts and trust. Our fact platform powers AI applications for businesses that depend on accuracy. Whether our customers are building chatbots, search tools, knowledge management systems, or bleeding-edge Gen AI technology, our solution ensures responses are not just intelligent, but factual and useful.\nSome of our values:\nFacts are at the center of everything we build. We hold ourselves to the highest standards of definitive accuracy.\nWe develop technology that builds and restores trust.\nWe’re not riding the AI wave–we’re reshaping it. We don’t do hype.\nWe make great products that are easy, trustworthy and useful.\nYou day-to-day will often change, but it may include:\nShape our data strategy: We need your analytical skills to help drive our business forward. You'll be coming up with new ways to look at our data and suggesting experiments that could lead to real improvements.\nDevelop better ways to work with data: You'll be building and improving how we find and extract useful information from the data in our product.\nMake sure our data is solid: We need to trust our data, so you'll be improving our testing and checking systems. Your work will help ensure that when we say something based on data, we know it's accurate.\nCreate a framework for data we can trust: You'll be designing systems to make sure our data is safe, reliable, and inspires confidence.\nKeep great records: You'll need to document our data processes clearly.\nStay on top of what's new in data science: The field is always changing, so we'll look to you to keep us updated on new tools and techniques we should consider using.\nKeep an eye on data quality: You'll be setting up processes to continuously check our data quality and fix any issues that come up.\nQualifications\nNote: These are guidelines, not hard requirements! If you think you’d be a good fit, please apply.\nDegree in Statistics, Data Science, Computer Science, Mathematics,, Engineering, or a related quantitative field. Master's degree preferred\nMinimum of 8 years of experience in data analysis, data science, or a similar role\nProven track record of driving business improvements through data-driven insights\nExpert-level proficiency in at least one programming language (e.g., C++, Python, R, SQL)\nStrong knowledge of statistical analysis and machine learning techniques\nFamiliarity with big data technologies (e.g., Spark)\nStrong problem-solving skills with the ability to approach issues from multiple angles\nAbility to present complex technical information to non-technical stakeholders\nExperience in providing thought leadership and driving strategic initiatives\nCompensation and Benefits\nSan Francisco Bay Area/Hybrid preferred, remote considered.\n$170-200k with equity in an early-stage startup\nCompetitive benefits\n20 days PTO + paid holidays + unlimited sick leave\nCompensation Range: $170K - $200K","company":"Infactory","rawCompany":"infactory","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-04-12T20:37:22.830Z","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":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Lead Data Scientist","description":"About Infactory\nWe’re Infactory. Our mission is to further AI innovation through facts and trust. Our fact platform powers AI applications for businesses that depend on accuracy. Whether our customers are building chatbots, search tools, knowledge management systems, or bleeding-edge Gen AI technology, our solution ensures responses are not just intelligent, but factual and useful.\nSome of our values:\nFacts are at the center of everything we build. We hold ourselves to the highest standards of definitive accuracy.\nWe develop technology that builds and restores trust.\nWe’re not riding the AI wave–we’re reshaping it. We don’t do hype.\nWe make great products that are easy, trustworthy and useful.\nYou day-to-day will often change, but it may include:\nShape our data strategy: We need your analytical skills to help drive our business forward. You'll be coming up with new ways to look at our data and suggesting experiments that could lead to real improvements.\nDevelop better ways to work with data: You'll be building and improving how we find and extract useful information from the data in our product.\nMake sure our data is solid: We need to trust our data, so you'll be improving our testing and checking systems. Your work will help ensure that when we say something based on data, we know it's accurate.\nCreate a framework for data we can trust: You'll be designing systems to make sure our data is safe, reliable, and inspires confidence.\nKeep great records: You'll need to document our data processes clearly.\nStay on top of what's new in data science: The field is always changing, so we'll look to you to keep us updated on new tools and techniques we should consider using.\nKeep an eye on data quality: You'll be setting up processes to continuously check our data quality and fix any issues that come up.\nQualifications\nNote: These are guidelines, not hard requirements! If you think you’d be a good fit, please apply.\nDegree in Statistics, Data Science, Computer Science, Mathematics,, Engineering, or a related quantitative field. Master's degree preferred\nMinimum of 8 years of experience in data analysis, data science, or a similar role\nProven track record of driving business improvements through data-driven insights\nExpert-level proficiency in at least one programming language (e.g., C++, Python, R, SQL)\nStrong knowledge of statistical analysis and machine learning techniques\nFamiliarity with big data technologies (e.g., Spark)\nStrong problem-solving skills with the ability to approach issues from multiple angles\nAbility to present complex technical information to non-technical stakeholders\nExperience in providing thought leadership and driving strategic initiatives\nCompensation and Benefits\nSan Francisco Bay Area/Hybrid preferred, remote considered.\n$170-200k with equity in an early-stage startup\nCompetitive benefits\n20 days PTO + paid holidays + unlimited sick leave\nCompensation Range: $170K - $200K","datePosted":"2026-04-12T20:37:22.830Z","dateModified":"2026-04-12T20:37:22.830Z","hiringOrganization":{"@type":"Organization","name":"Infactory","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"6239f2bfd59da388aa87a636"},"url":"https://jobsearcher.com/jobs/6239f2bfd59da388aa87a636"}}