{"schemaVersion":"jobsearcher.job.v1","id":"fbad1f8efef1b0a52fe220be","url":"https://jobsearcher.com/jobs/fbad1f8efef1b0a52fe220be","canonicalUrl":"https://jobsearcher.com/jobs/fbad1f8efef1b0a52fe220be","title":"Senior Data Scientist","description":"We're working with a leading financial services company that pioneered the use of statistical modeling and data-driven decision-making in the credit card industry, growing into a Fortune 200 powerhouse known for innovation and leveraging data to empower customers.The Role Partner with cross-functional teams to identify and quantify risks associated with models Leverage a broad stack of technologies including PyTorch, Hugging Face, LangChain, and Vector Databases Build machine learning models to challenge existing production models Contribute to the model governance framework for next-generation models Validate various models across multiple business domains and present findings to executivesWhat You'll Need Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science) plus 2 years of data analytics experience, OR a Master's Degree in a quantitative field or MBA with a quantitative concentration Experience with open-source languages and developing data science solutions using open-source tools and cloud platforms Strong statistical mindset with experience in model building, validation, and backtesting Skills to retrieve, combine, and analyze data from various sources and structures Ability to continually research and evaluate emerging technologies and apply themWhat's On Offer Opportunity to work within a model risk office dedicated to safeguarding against model failures Engaging with unique risks associated with Generative AI (GenAI) Investing in future capabilities, acquiring new skills, and developing superior tools Competitive salary between $123,300 and $140,700 per yearApply via Haystack today!","company":"Haystack","rawCompany":"haystack","city":"Chicago","state":"IL","isRemote":false,"isActive":false,"createdAt":"2026-05-11T21:10:57.779Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"13-2054.00","title":"Financial Risk Specialists","slug":"financial-risk-specialists"},{"code":"15-2041.00","title":"Statisticians","slug":"statisticians"}],"industries":[{"code":"522110","title":"Commercial Banking","slug":"commercial-banking"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"522291","title":"Consumer Lending","slug":"consumer-lending"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Data Scientist","description":"We're working with a leading financial services company that pioneered the use of statistical modeling and data-driven decision-making in the credit card industry, growing into a Fortune 200 powerhouse known for innovation and leveraging data to empower customers.The Role Partner with cross-functional teams to identify and quantify risks associated with models Leverage a broad stack of technologies including PyTorch, Hugging Face, LangChain, and Vector Databases Build machine learning models to challenge existing production models Contribute to the model governance framework for next-generation models Validate various models across multiple business domains and present findings to executivesWhat You'll Need Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science) plus 2 years of data analytics experience, OR a Master's Degree in a quantitative field or MBA with a quantitative concentration Experience with open-source languages and developing data science solutions using open-source tools and cloud platforms Strong statistical mindset with experience in model building, validation, and backtesting Skills to retrieve, combine, and analyze data from various sources and structures Ability to continually research and evaluate emerging technologies and apply themWhat's On Offer Opportunity to work within a model risk office dedicated to safeguarding against model failures Engaging with unique risks associated with Generative AI (GenAI) Investing in future capabilities, acquiring new skills, and developing superior tools Competitive salary between $123,300 and $140,700 per yearApply via Haystack today!","datePosted":"2026-05-11T21:10:57.779Z","dateModified":"2026-05-11T21:10:57.779Z","hiringOrganization":{"@type":"Organization","name":"Haystack","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Chicago","addressRegion":"IL","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"fbad1f8efef1b0a52fe220be"},"url":"https://jobsearcher.com/jobs/fbad1f8efef1b0a52fe220be"}}