{"schemaVersion":"jobsearcher.job.v1","id":"4402165175fa33a7fb8b25d7","url":"https://jobsearcher.com/jobs/4402165175fa33a7fb8b25d7","canonicalUrl":"https://jobsearcher.com/jobs/4402165175fa33a7fb8b25d7","title":"Analyst - Data Scientist (Stan Developer) (Remote)","description":"Stan Developer / Bayesian Statistical ModelerSeeking a Stan Developer / Bayesian Statistical Modeler with strong expertise in Stan, Bayesian modeling, hierarchical/time-series/spatial models, and probabilistic programming to design and implement production-grade statistical models. Hands-on experience with MCMC, HMC/NUTS, convergence diagnostics, variational inference, optimization, custom log-probability functions, and model performance tuning is required. Proficiency in R or Python, CmdStan/CmdStanPy/CmdStanR, C++, Git, CI/CD, Docker, and parallel processing/GPU acceleration, with the ability to translate Bayesian insights into actionable business outcomes. Location: Remote. Shift Timing: Normal (Day Shift).Key ResponsibilitiesStatistical Model Design: Formulate, implement, and validate complex Bayesian models (e.g., hierarchical models, time-series, spatial models, mixture models) in Stan.Algorithm & Performance Tuning: Optimize model execution time and convergence using advanced Stan features, parameterization techniques (e.g., non-centered vs. centered parameterizations), and custom C++ functions where appropriate.Sampling & Diagnostics: Execute and monitor MCMC sampling (NUTS/HMC) and optimization routines; perform rigorous convergence diagnostics (e.g., R-hat, ESS, divergence checks, posterior predictive checks).Environment Integration: Interface Stan models with production data pipelines using RStan, PyStan, CmdStan, or CmdStanPy.Collaboration & Communication: Translate complex probabilistic outputs and uncertainty estimates into actionable, clear insights for stakeholders and cross-functional engineering teams.Required QualificationsProbabilistic Programming: Hands-on experience developing, debugging, and optimizing Bayesian statistical models directly in Stan.","company":"Objectwin Technology","rawCompany":"objectwin technology","city":"Denver","state":"CO","isRemote":true,"isActive":false,"createdAt":"2026-10-15T12:49:17.839Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-2041.00","title":"Statisticians","slug":"statisticians"},{"code":"15-2041.01","title":"Biostatisticians","slug":"biostatisticians"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Analyst - Data Scientist (Stan Developer) (Remote)","description":"Stan Developer / Bayesian Statistical ModelerSeeking a Stan Developer / Bayesian Statistical Modeler with strong expertise in Stan, Bayesian modeling, hierarchical/time-series/spatial models, and probabilistic programming to design and implement production-grade statistical models. Hands-on experience with MCMC, HMC/NUTS, convergence diagnostics, variational inference, optimization, custom log-probability functions, and model performance tuning is required. Proficiency in R or Python, CmdStan/CmdStanPy/CmdStanR, C++, Git, CI/CD, Docker, and parallel processing/GPU acceleration, with the ability to translate Bayesian insights into actionable business outcomes. Location: Remote. Shift Timing: Normal (Day Shift).Key ResponsibilitiesStatistical Model Design: Formulate, implement, and validate complex Bayesian models (e.g., hierarchical models, time-series, spatial models, mixture models) in Stan.Algorithm & Performance Tuning: Optimize model execution time and convergence using advanced Stan features, parameterization techniques (e.g., non-centered vs. centered parameterizations), and custom C++ functions where appropriate.Sampling & Diagnostics: Execute and monitor MCMC sampling (NUTS/HMC) and optimization routines; perform rigorous convergence diagnostics (e.g., R-hat, ESS, divergence checks, posterior predictive checks).Environment Integration: Interface Stan models with production data pipelines using RStan, PyStan, CmdStan, or CmdStanPy.Collaboration & Communication: Translate complex probabilistic outputs and uncertainty estimates into actionable, clear insights for stakeholders and cross-functional engineering teams.Required QualificationsProbabilistic Programming: Hands-on experience developing, debugging, and optimizing Bayesian statistical models directly in Stan.","datePosted":"2026-10-15T12:49:17.839Z","dateModified":"2026-10-15T12:49:17.839Z","hiringOrganization":{"@type":"Organization","name":"Objectwin Technology","sameAs":"https://jobsearcher.com"},"jobLocationType":"TELECOMMUTE","applicantLocationRequirements":{"@type":"Country","name":"US"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Denver","addressRegion":"CO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"4402165175fa33a7fb8b25d7"},"url":"https://jobsearcher.com/jobs/4402165175fa33a7fb8b25d7"}}