{"schemaVersion":"jobsearcher.job.v1","id":"7db326ba0dfaa262e1f9e061","url":"https://jobsearcher.com/jobs/7db326ba0dfaa262e1f9e061","canonicalUrl":"https://jobsearcher.com/jobs/7db326ba0dfaa262e1f9e061","title":"Data Scientist","description":"The Data Scientist will formulate Glo’s data strategy and work with the Data Engineer to implement the appropriate architecture and execute on the strategy. This role will be responsible for enabling data-driven decisions across the Company by sourcing accurate data, building scalable infrastructure, and delivering analytics with predictive modeling. Use various methods to transform raw data into useful data systems.Essential Functions and Responsibilities:Lead the effort to build, implement and support the data infrastructureOwn majority of the deliverables for the Data teamDevelop and test architectures that enable data extraction and transformation for predictive and prescriptive modelingAnalyze and confirms the integrity of source data to be evaluatedLead the development of data-driven solutions by working with stakeholdersDevelop and maintain predictive models supporting both product & data initiativesEnsure data quality and integrity in modeling by working with data engineers and analystsCommunicate complex technical concepts to non-technical stakeholders through visualizations and presentationsStay up-to-date with advancements in data science to improve modeling capabilitiesCollaborate with cross-functional teams to align data-driven solutions with business objectivesQualifications:Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related fieldAt least 5 years of experience in data science, machine learning, and statistical modelingProficient in programming languages such as Python, R, SQL, and SASExperience with data visualization tools such as Tableau, MixPanel, Google LookerStrong understanding of statistical concepts and machine learning algorithmsKnowledge of data engineering and data warehousing concepts, including RedShift, Redshift Spectrum, AWS Glue, AWS LambdaExcellent communication and presentation skills to convey technical concepts to non-technical stakeholdersAbility to work collaboratively in cross-functional teams and lead projects from ideation to implementationExperience mentoring junior data scientists and guiding best practices in modeling and analysis","company":"Techspectrum Solutions","rawCompany":"techspectrum solutions","city":"Denver","state":"CO","isRemote":false,"isActive":false,"createdAt":"2026-08-14T10:39:58.979Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2041.00","title":"Statisticians","slug":"statisticians"}],"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":"Data Scientist","description":"The Data Scientist will formulate Glo’s data strategy and work with the Data Engineer to implement the appropriate architecture and execute on the strategy. This role will be responsible for enabling data-driven decisions across the Company by sourcing accurate data, building scalable infrastructure, and delivering analytics with predictive modeling. Use various methods to transform raw data into useful data systems.Essential Functions and Responsibilities:Lead the effort to build, implement and support the data infrastructureOwn majority of the deliverables for the Data teamDevelop and test architectures that enable data extraction and transformation for predictive and prescriptive modelingAnalyze and confirms the integrity of source data to be evaluatedLead the development of data-driven solutions by working with stakeholdersDevelop and maintain predictive models supporting both product & data initiativesEnsure data quality and integrity in modeling by working with data engineers and analystsCommunicate complex technical concepts to non-technical stakeholders through visualizations and presentationsStay up-to-date with advancements in data science to improve modeling capabilitiesCollaborate with cross-functional teams to align data-driven solutions with business objectivesQualifications:Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related fieldAt least 5 years of experience in data science, machine learning, and statistical modelingProficient in programming languages such as Python, R, SQL, and SASExperience with data visualization tools such as Tableau, MixPanel, Google LookerStrong understanding of statistical concepts and machine learning algorithmsKnowledge of data engineering and data warehousing concepts, including RedShift, Redshift Spectrum, AWS Glue, AWS LambdaExcellent communication and presentation skills to convey technical concepts to non-technical stakeholdersAbility to work collaboratively in cross-functional teams and lead projects from ideation to implementationExperience mentoring junior data scientists and guiding best practices in modeling and analysis","datePosted":"2026-08-14T10:39:58.979Z","dateModified":"2026-08-14T10:39:58.979Z","hiringOrganization":{"@type":"Organization","name":"Techspectrum Solutions","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Denver","addressRegion":"CO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"7db326ba0dfaa262e1f9e061"},"url":"https://jobsearcher.com/jobs/7db326ba0dfaa262e1f9e061"}}