{"schemaVersion":"jobsearcher.job.v1","id":"235eca8d31cafbb8a0ab89c9","url":"https://jobsearcher.com/jobs/235eca8d31cafbb8a0ab89c9","canonicalUrl":"https://jobsearcher.com/jobs/235eca8d31cafbb8a0ab89c9","title":"Data Scientist/Data Analyst","description":"About the Role\nWe're looking for a Data Scientist to join our team supporting the BioSurveillance Integration Platform (BIP). In this role, you'll develop, test, and deploy machine learning and statistical models that turn structured and unstructured mission data into actionable insight for biosurveillance, force health protection, and mission decision-makers — including in constrained or disconnected tactical environments.\nThis role follows a phased work arrangement: fully remote during Phase 1 (stand-up and early build), transitioning to hybrid during Phase 2 to support integration, testing, and delivery milestones.\nWhat You'll Do\nDevelop, test, and deploy machine learning and statistical models supporting mission use cases\nBuild and maintain data pipelines supporting model training and inference\nApply data cleansing, feature engineering, and transformation techniques\nAnalyze structured and unstructured datasets to generate insights for biosurveillance and force health protection\nBuild dashboards and analytic products that translate model output into operationally useful information\nAdapt models and inference pipelines for edge, austere, and tactical environments with limited bandwidth, compute, or connectivity\nDocument methodologies, models, and results for technical and non-technical audiences\nSupport model risk reviews, bias assessments, and AI assurance activities\nWhat You'll Need\nBachelor's degree, or equivalent relevant experience\n5+ years of experience in data science, analytics, or machine learning\nProficiency in Python (Pandas, NumPy, scikit-learn, TensorFlow or PyTorch)\nExperience with statistical analysis, predictive modeling, and data visualization\nFamiliarity with data engineering concepts and large datasets\nExperience deploying models into production and understanding of MLOps practices\nActive Secret clearance, with ability to maintain it throughout the period of performance\nU.S. Citizenship\nNice to Have\nMaster's or doctoral degree in Data Science, Statistics, Computer Science, Applied Mathematics, Epidemiology, or related field\nCloud ML certification (AWS, Azure, or Google Cloud)\nPrior experience on DoD or federal AI/ML programs\nExperience with Palantir Foundry, Maven Smart System, or similar federated analytic environments\nFamiliarity with biosurveillance, epidemiology, public health, or force health protection analytics\nExperience with MLOps tooling (MLflow, Kubeflow, SageMaker, Vertex AI)\nFamiliarity with model risk management, explainability methods, and AI assurance frameworks (e.g., NIST AI RMF)\nTools & Platforms\nPython ML stack (Pandas, NumPy, scikit-learn, TensorFlow, PyTorch), Palantir Foundry, Maven Smart System, AWS SageMaker, Azure ML, Vertex AI, Jira, Confluence, Git, Microsoft Office 365\nPay: $50,000.00 - $70,000.00 per year\nBenefits:\n401(k)\n401(k) matching\nHealth insurance\nLife insurance\nReferral program\nWork Location: Hybrid remote in Omaha, NE 68127","company":"Qbitech","rawCompany":"qbitech","city":"Omaha","state":"NE","isRemote":false,"isActive":false,"createdAt":"2026-08-06T15:42:49.345Z","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":"541990","title":"All Other Professional, Scientific, and Technical Services","slug":"all-other-professional-scientific-and-technical-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Scientist/Data Analyst","description":"About the Role\nWe're looking for a Data Scientist to join our team supporting the BioSurveillance Integration Platform (BIP). In this role, you'll develop, test, and deploy machine learning and statistical models that turn structured and unstructured mission data into actionable insight for biosurveillance, force health protection, and mission decision-makers — including in constrained or disconnected tactical environments.\nThis role follows a phased work arrangement: fully remote during Phase 1 (stand-up and early build), transitioning to hybrid during Phase 2 to support integration, testing, and delivery milestones.\nWhat You'll Do\nDevelop, test, and deploy machine learning and statistical models supporting mission use cases\nBuild and maintain data pipelines supporting model training and inference\nApply data cleansing, feature engineering, and transformation techniques\nAnalyze structured and unstructured datasets to generate insights for biosurveillance and force health protection\nBuild dashboards and analytic products that translate model output into operationally useful information\nAdapt models and inference pipelines for edge, austere, and tactical environments with limited bandwidth, compute, or connectivity\nDocument methodologies, models, and results for technical and non-technical audiences\nSupport model risk reviews, bias assessments, and AI assurance activities\nWhat You'll Need\nBachelor's degree, or equivalent relevant experience\n5+ years of experience in data science, analytics, or machine learning\nProficiency in Python (Pandas, NumPy, scikit-learn, TensorFlow or PyTorch)\nExperience with statistical analysis, predictive modeling, and data visualization\nFamiliarity with data engineering concepts and large datasets\nExperience deploying models into production and understanding of MLOps practices\nActive Secret clearance, with ability to maintain it throughout the period of performance\nU.S. Citizenship\nNice to Have\nMaster's or doctoral degree in Data Science, Statistics, Computer Science, Applied Mathematics, Epidemiology, or related field\nCloud ML certification (AWS, Azure, or Google Cloud)\nPrior experience on DoD or federal AI/ML programs\nExperience with Palantir Foundry, Maven Smart System, or similar federated analytic environments\nFamiliarity with biosurveillance, epidemiology, public health, or force health protection analytics\nExperience with MLOps tooling (MLflow, Kubeflow, SageMaker, Vertex AI)\nFamiliarity with model risk management, explainability methods, and AI assurance frameworks (e.g., NIST AI RMF)\nTools & Platforms\nPython ML stack (Pandas, NumPy, scikit-learn, TensorFlow, PyTorch), Palantir Foundry, Maven Smart System, AWS SageMaker, Azure ML, Vertex AI, Jira, Confluence, Git, Microsoft Office 365\nPay: $50,000.00 - $70,000.00 per year\nBenefits:\n401(k)\n401(k) matching\nHealth insurance\nLife insurance\nReferral program\nWork Location: Hybrid remote in Omaha, NE 68127","datePosted":"2026-08-06T15:42:49.345Z","dateModified":"2026-08-06T15:42:49.345Z","hiringOrganization":{"@type":"Organization","name":"Qbitech","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Omaha","addressRegion":"NE","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"235eca8d31cafbb8a0ab89c9"},"url":"https://jobsearcher.com/jobs/235eca8d31cafbb8a0ab89c9"}}