{"schemaVersion":"jobsearcher.job.v1","id":"a032bed7976ada5e5d9b2055","url":"https://jobsearcher.com/jobs/a032bed7976ada5e5d9b2055","canonicalUrl":"https://jobsearcher.com/jobs/a032bed7976ada5e5d9b2055","title":"Sr. Data Scientist","description":"Sr. Data Scientist (AWS, AI, ML)\nLocation: Mostly Remote – Onsite 1x/month in Reston, VA (must reside in DC, MD, or VA)\n\nCompany Overview\nGlint Tech Solutions is a women-owned global staffing and IT recruiting firm connecting top technical talent with leading enterprise clients across the United States and Canada.\nProject Description\nOur client, a federal healthcare insurance organization, has an immediate need for a Senior Data Scientist to identify and solve business problems using statistical modeling, machine learning, AI, operations research, and data mining. The selected candidate will own high-impact data science projects from inception through completion, contribute technically throughout, refine product requirements with Product teams, coordinate the efforts of other data scientists, and interface with stakeholders across the organization. This is a mostly remote role with onsite requirements 1–2 times per month in the DC Metro area. Candidates must reside in the DC, MD, or VA area or a touching state; travel expenses will not be covered.\nKey Responsibilities\nIdentify and solve complex business problems using statistical modeling, machine learning, AI, operations research, and data mining techniques\nOwn high-impact data science projects end-to-end, from inception through production deployment\nLead and coordinate the efforts of other data scientists contributing to shared projects\nBuild, train, and deploy ML solutions using AWS services including SageMaker, Bedrock, Kendra, and Lambda\nWrite production-ready code including proper documentation and unit tests\nApply advanced machine learning methods including k-nearest neighbors, random forests, and ensemble methods\nCommunicate across product teams and with customers to educate on AI, ML, and statistical models\nRefine product requirements in collaboration with Product teams and interface with stakeholders across departments\nMandatory Skills\n8+ years of experience as a Data Scientist with both model building and deployment experience\nAdvanced Python and SQL proficiency\nAdvanced proficiency in Python and Spark/Scala for statistical analysis, data modeling, ML, and ETL processes\nIntermediate to advanced data visualization skills using Python\nSolid hands-on knowledge of AWS SageMaker, Bedrock, Kendra, and Lambda (required)\nAbility to write production-ready code including documentation and unit tests\nExperience with ML methods including k-nearest neighbors, random forests, and ensemble methods\nStrong AI/ML expertise across Machine Learning, Deep Learning, Decision Trees, Random Forest, Neural Networks, Supervised/Unsupervised Learning, Forecasting, Predictive Modeling, and Clustering\nDeep knowledge of machine learning fundamentals, data mining, and statistical predictive modeling\nProficiency with Python ML and data pre-processing libraries — Scikit-Learn, NumPy, Pandas\nStrong software prototyping and engineering skills across Python, R, and Spark/Scala\nAbility to initiate and drive projects to completion with minimal guidance\nStrong communication skills for presenting analysis results clearly and effectively\nDegree preferred; 4 additional years of experience may substitute for a degree\nNice-to-Have Skills\nExperience with Agentic AI\nFamiliarity with statistical packages such as R, MATLAB, SPSS, SAS, or Stata\nProficiency with healthcare analytics and data structures\nExperience with big data technologies, ETL, statistics, causal inference, and simulation\nExperience with large data sets and distributed computing (Hive/Hadoop)\nPrior experience leading data science projects or teams independently","company":"Glint Tech Solutions","rawCompany":"glint tech solutions","city":"Reston","state":"VA","isRemote":false,"isActive":false,"createdAt":"2026-08-11T16:08:24.116Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"}],"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":"Sr. Data Scientist","description":"Sr. Data Scientist (AWS, AI, ML)\nLocation: Mostly Remote – Onsite 1x/month in Reston, VA (must reside in DC, MD, or VA)\n\nCompany Overview\nGlint Tech Solutions is a women-owned global staffing and IT recruiting firm connecting top technical talent with leading enterprise clients across the United States and Canada.\nProject Description\nOur client, a federal healthcare insurance organization, has an immediate need for a Senior Data Scientist to identify and solve business problems using statistical modeling, machine learning, AI, operations research, and data mining. The selected candidate will own high-impact data science projects from inception through completion, contribute technically throughout, refine product requirements with Product teams, coordinate the efforts of other data scientists, and interface with stakeholders across the organization. This is a mostly remote role with onsite requirements 1–2 times per month in the DC Metro area. Candidates must reside in the DC, MD, or VA area or a touching state; travel expenses will not be covered.\nKey Responsibilities\nIdentify and solve complex business problems using statistical modeling, machine learning, AI, operations research, and data mining techniques\nOwn high-impact data science projects end-to-end, from inception through production deployment\nLead and coordinate the efforts of other data scientists contributing to shared projects\nBuild, train, and deploy ML solutions using AWS services including SageMaker, Bedrock, Kendra, and Lambda\nWrite production-ready code including proper documentation and unit tests\nApply advanced machine learning methods including k-nearest neighbors, random forests, and ensemble methods\nCommunicate across product teams and with customers to educate on AI, ML, and statistical models\nRefine product requirements in collaboration with Product teams and interface with stakeholders across departments\nMandatory Skills\n8+ years of experience as a Data Scientist with both model building and deployment experience\nAdvanced Python and SQL proficiency\nAdvanced proficiency in Python and Spark/Scala for statistical analysis, data modeling, ML, and ETL processes\nIntermediate to advanced data visualization skills using Python\nSolid hands-on knowledge of AWS SageMaker, Bedrock, Kendra, and Lambda (required)\nAbility to write production-ready code including documentation and unit tests\nExperience with ML methods including k-nearest neighbors, random forests, and ensemble methods\nStrong AI/ML expertise across Machine Learning, Deep Learning, Decision Trees, Random Forest, Neural Networks, Supervised/Unsupervised Learning, Forecasting, Predictive Modeling, and Clustering\nDeep knowledge of machine learning fundamentals, data mining, and statistical predictive modeling\nProficiency with Python ML and data pre-processing libraries — Scikit-Learn, NumPy, Pandas\nStrong software prototyping and engineering skills across Python, R, and Spark/Scala\nAbility to initiate and drive projects to completion with minimal guidance\nStrong communication skills for presenting analysis results clearly and effectively\nDegree preferred; 4 additional years of experience may substitute for a degree\nNice-to-Have Skills\nExperience with Agentic AI\nFamiliarity with statistical packages such as R, MATLAB, SPSS, SAS, or Stata\nProficiency with healthcare analytics and data structures\nExperience with big data technologies, ETL, statistics, causal inference, and simulation\nExperience with large data sets and distributed computing (Hive/Hadoop)\nPrior experience leading data science projects or teams independently","datePosted":"2026-08-11T16:08:24.116Z","dateModified":"2026-08-11T16:08:24.116Z","hiringOrganization":{"@type":"Organization","name":"Glint Tech Solutions","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Reston","addressRegion":"VA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"a032bed7976ada5e5d9b2055"},"url":"https://jobsearcher.com/jobs/a032bed7976ada5e5d9b2055"}}