{"schemaVersion":"jobsearcher.job.v1","id":"40052ea734fc0d92bfb7d329","url":"https://jobsearcher.com/jobs/40052ea734fc0d92bfb7d329","canonicalUrl":"https://jobsearcher.com/jobs/40052ea734fc0d92bfb7d329","title":"Machine Learning / Data Science Expert","description":"This is a remote, project-based role for data scientists and machine learning professionals with 1–3 years of work experience. You will complete tasks similar to those performed in data science, machine learning engineering, AI research, or analytics roles. Work is over the next 2-3 weeks, asynchronous, and assigned on a project-by-project basis, with an expected commitment of 10–20 hours per week for the projects you accept. This position offers highly competitive pay, exposure to real-world ML/data problems, and an excellent opportunity to boost your resume.ResponsibilitiesAssist in building, training, and evaluating machine learning models for various business applicationsDevelop predictive models using supervised and unsupervised learning techniquesOptimize model performance through hyperparameter tuning and feature engineeringDocument methodologies, model assumptions, and technical approachesRequired Qualifications1–3 years of professional experience in data science, machine learning, or related fieldsStrong problem-solving skills and ability to work independently on technical tasksMasters degree in Computer Science, Statistics, Mathematics, Data Science, or related quantitative fieldAt least 1 first author publication or first-author equivalent workPreferred QualificationsTA’d courses in machine learning, data science, and applied statistics, with a strong focus on programming and empirical analysis.Why applyFlexible Time Commitment – Work on your schedule while gaining valuable experienceStartup Exposure – Work directly with an early-stage Y Combinator-backed company, gaining hands-on experience that sets you apartFantastic Pay & Growth Opportunities – project based pay starts at est. $60/hour and can go up to $100/hourPortfolio Building - Gain experience with cutting-edge problems and techniquesProfessional Growth - Sharpen your skills on varied, challenging datasets and models","company":"Afterquery","rawCompany":"afterquery","city":"Denver","state":"CO","isRemote":false,"isActive":false,"createdAt":"2026-10-28T10:00:09.484Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"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":"541990","title":"All Other Professional, Scientific, and Technical Services","slug":"all-other-professional-scientific-and-technical-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Machine Learning / Data Science Expert","description":"This is a remote, project-based role for data scientists and machine learning professionals with 1–3 years of work experience. You will complete tasks similar to those performed in data science, machine learning engineering, AI research, or analytics roles. Work is over the next 2-3 weeks, asynchronous, and assigned on a project-by-project basis, with an expected commitment of 10–20 hours per week for the projects you accept. This position offers highly competitive pay, exposure to real-world ML/data problems, and an excellent opportunity to boost your resume.ResponsibilitiesAssist in building, training, and evaluating machine learning models for various business applicationsDevelop predictive models using supervised and unsupervised learning techniquesOptimize model performance through hyperparameter tuning and feature engineeringDocument methodologies, model assumptions, and technical approachesRequired Qualifications1–3 years of professional experience in data science, machine learning, or related fieldsStrong problem-solving skills and ability to work independently on technical tasksMasters degree in Computer Science, Statistics, Mathematics, Data Science, or related quantitative fieldAt least 1 first author publication or first-author equivalent workPreferred QualificationsTA’d courses in machine learning, data science, and applied statistics, with a strong focus on programming and empirical analysis.Why applyFlexible Time Commitment – Work on your schedule while gaining valuable experienceStartup Exposure – Work directly with an early-stage Y Combinator-backed company, gaining hands-on experience that sets you apartFantastic Pay & Growth Opportunities – project based pay starts at est. $60/hour and can go up to $100/hourPortfolio Building - Gain experience with cutting-edge problems and techniquesProfessional Growth - Sharpen your skills on varied, challenging datasets and models","datePosted":"2026-10-28T10:00:09.484Z","dateModified":"2026-10-28T10:00:09.484Z","hiringOrganization":{"@type":"Organization","name":"Afterquery","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Denver","addressRegion":"CO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"40052ea734fc0d92bfb7d329"},"url":"https://jobsearcher.com/jobs/40052ea734fc0d92bfb7d329"}}