{"schemaVersion":"jobsearcher.job.v1","id":"2d316aebec34fdae7f64853b","url":"https://jobsearcher.com/jobs/2d316aebec34fdae7f64853b","canonicalUrl":"https://jobsearcher.com/jobs/2d316aebec34fdae7f64853b","title":"IT Data Scientist","description":"The Data Scientist applies statistics, machine learning, optimization, and programming to manufacturing data to improve safety, quality, throughput, cost, equipment reliability, and decision-making across plants. The role partners closely with Manufacturing IT, plant operations, engineering, quality, maintenance, and data engineering teams.\n\nRESPONSIBILITIES\nTranslate plant and business problems into measurable analytical questions and use cases.\nIdentify, access, and assess data from MES, quality systems, equipment historians, maintenance systems, production systems, and other manufacturing sources.\nBuild reliable analytical datasets and pipelines using SQL, Python, Spark, and Databricks.\nPerform exploratory analysis, statistical studies, root-cause analysis, forecasting, optimization, and experimentation.\nDevelop, validate, document, and monitor predictive or prescriptive models for use cases such as downtime, scrap, defects, bottlenecks, anomaly detection, yield, and preventive maintenance.\nEvaluate data quality, lineage, coverage, missingness, bias, and operational readiness before modeling.\nConvert findings into practical recommendations that plant personnel and leaders can use in daily decisions.\nCreate dashboards, visualizations, reports, and user interfaces that clearly communicate trends, risks, and opportunities.\nProductionize analytics and models in partnership with data engineering, application, and Manufacturing IT teams.\nMonitor model performance, data drift, pipeline health, and business impact after deployment.\nSupport manufacturing modernization initiatives, including cloud migration, data-product development, automation, and legacy-system retirement.\n\nREQUIREMENTS\nBachelors Degree in a technical field such as computer science, computer engineering or related field required\n8-10 years applicable experience required\nData modeling at least 8-10 years of experience\nData pipeline at least 8-10 years of experience\nData analytics – able to build something out of messy data at least 8-10 years of experience\nExperience with database technologies\nKnowledge of the ETL process\nKnowledge of at least one scripting language\nStrong written and oral communication skills\nStrong troubleshooting and problem solving skills\nDemonstrated history of success\nDesire to be working with data and helping businesses make better data driven decisions\n\nIND1","company":"Technologyresourcegroup","rawCompany":"technologyresourcegroup","city":"Austin","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-08-28T10:18:41.099Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.01","title":"Business Intelligence Analysts","slug":"business-intelligence-analysts"}],"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":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"IT Data Scientist","description":"The Data Scientist applies statistics, machine learning, optimization, and programming to manufacturing data to improve safety, quality, throughput, cost, equipment reliability, and decision-making across plants. The role partners closely with Manufacturing IT, plant operations, engineering, quality, maintenance, and data engineering teams.\n\nRESPONSIBILITIES\nTranslate plant and business problems into measurable analytical questions and use cases.\nIdentify, access, and assess data from MES, quality systems, equipment historians, maintenance systems, production systems, and other manufacturing sources.\nBuild reliable analytical datasets and pipelines using SQL, Python, Spark, and Databricks.\nPerform exploratory analysis, statistical studies, root-cause analysis, forecasting, optimization, and experimentation.\nDevelop, validate, document, and monitor predictive or prescriptive models for use cases such as downtime, scrap, defects, bottlenecks, anomaly detection, yield, and preventive maintenance.\nEvaluate data quality, lineage, coverage, missingness, bias, and operational readiness before modeling.\nConvert findings into practical recommendations that plant personnel and leaders can use in daily decisions.\nCreate dashboards, visualizations, reports, and user interfaces that clearly communicate trends, risks, and opportunities.\nProductionize analytics and models in partnership with data engineering, application, and Manufacturing IT teams.\nMonitor model performance, data drift, pipeline health, and business impact after deployment.\nSupport manufacturing modernization initiatives, including cloud migration, data-product development, automation, and legacy-system retirement.\n\nREQUIREMENTS\nBachelors Degree in a technical field such as computer science, computer engineering or related field required\n8-10 years applicable experience required\nData modeling at least 8-10 years of experience\nData pipeline at least 8-10 years of experience\nData analytics – able to build something out of messy data at least 8-10 years of experience\nExperience with database technologies\nKnowledge of the ETL process\nKnowledge of at least one scripting language\nStrong written and oral communication skills\nStrong troubleshooting and problem solving skills\nDemonstrated history of success\nDesire to be working with data and helping businesses make better data driven decisions\n\nIND1","datePosted":"2026-08-28T10:18:41.099Z","dateModified":"2026-08-28T10:18:41.099Z","hiringOrganization":{"@type":"Organization","name":"Technologyresourcegroup","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Austin","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"2d316aebec34fdae7f64853b"},"url":"https://jobsearcher.com/jobs/2d316aebec34fdae7f64853b"}}