{"schemaVersion":"jobsearcher.job.v1","id":"8b62dfeaab3543f246dc8a97","url":"https://jobsearcher.com/jobs/8b62dfeaab3543f246dc8a97","canonicalUrl":"https://jobsearcher.com/jobs/8b62dfeaab3543f246dc8a97","title":"Machine Learning Engineer","description":"Company Description\n\nFactspan is a pure play analytics company. We partner with you to build an analytics center of excellence, generating insights and solutions from your data to solve business challenges, make strategic recommendations and implement new processes that help you succeed. With offices in Seattle, USA and Bangalore, India; we use a global delivery model to service our clients. Our clients include Fortune 500 companies in Retail, Financial Services, Hospitality and Technology sectors.\n\nJob Description\n\nWork with large, complex data sets. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed.\nConduct end-to-end analysis that includes data gathering from various data storage platforms and requirements specification, processing, analysis, ongoing deliverables, and presentations.\nHands on expertise in Machine Learning models using R/Python, SQL, well versed in statistical methodology including deep expertise and experience with statistical data analysi\nRequires a diversified technical person who can setup environments on AWS and integrate different pieces of solution.\nDevelop data pipelines to integrate different data sources\nExperienced in using Google, Amazon NLP APIs to parse data and analyse output\nExperienced in using Amazon dockers to develop and deploy the solution\nProficient in JAVA & Python programming\nUnderstanding of topic modelling, supervised & unsupervised machine learning\nPlan the project milestones, resourcing and work distribution\nExecute project in a timely manager, analyse risks and mitigate them\nAble to lead a technical team of data scientist and engineers\nCommunicate the project progress, challenges, results and next action items to stake holders\n\nQualifications\n\n3-8 years of experience\nBachelor’s/Master’s Degree in Engineering, Statistics, Mathematics\nExcellent hands-on working knowledge in R, Python, advanced predictive modelling, SQL, AWS\n\nAdditional Information\n\nAll your information will be kept confidential according to EEO guidelines.","company":"Factspan","rawCompany":"factspan","city":"Seattle","state":"WA","isRemote":false,"isActive":false,"createdAt":"2026-08-06T11:47:38.210Z","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":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Machine Learning Engineer","description":"Company Description\n\nFactspan is a pure play analytics company. We partner with you to build an analytics center of excellence, generating insights and solutions from your data to solve business challenges, make strategic recommendations and implement new processes that help you succeed. With offices in Seattle, USA and Bangalore, India; we use a global delivery model to service our clients. Our clients include Fortune 500 companies in Retail, Financial Services, Hospitality and Technology sectors.\n\nJob Description\n\nWork with large, complex data sets. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed.\nConduct end-to-end analysis that includes data gathering from various data storage platforms and requirements specification, processing, analysis, ongoing deliverables, and presentations.\nHands on expertise in Machine Learning models using R/Python, SQL, well versed in statistical methodology including deep expertise and experience with statistical data analysi\nRequires a diversified technical person who can setup environments on AWS and integrate different pieces of solution.\nDevelop data pipelines to integrate different data sources\nExperienced in using Google, Amazon NLP APIs to parse data and analyse output\nExperienced in using Amazon dockers to develop and deploy the solution\nProficient in JAVA & Python programming\nUnderstanding of topic modelling, supervised & unsupervised machine learning\nPlan the project milestones, resourcing and work distribution\nExecute project in a timely manager, analyse risks and mitigate them\nAble to lead a technical team of data scientist and engineers\nCommunicate the project progress, challenges, results and next action items to stake holders\n\nQualifications\n\n3-8 years of experience\nBachelor’s/Master’s Degree in Engineering, Statistics, Mathematics\nExcellent hands-on working knowledge in R, Python, advanced predictive modelling, SQL, AWS\n\nAdditional Information\n\nAll your information will be kept confidential according to EEO guidelines.","datePosted":"2026-08-06T11:47:38.210Z","dateModified":"2026-08-06T11:47:38.210Z","hiringOrganization":{"@type":"Organization","name":"Factspan","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Seattle","addressRegion":"WA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"8b62dfeaab3543f246dc8a97"},"url":"https://jobsearcher.com/jobs/8b62dfeaab3543f246dc8a97"}}