{"schemaVersion":"jobsearcher.job.v1","id":"df8d17471c20ad397ee073e0","url":"https://jobsearcher.com/jobs/df8d17471c20ad397ee073e0","canonicalUrl":"https://jobsearcher.com/jobs/df8d17471c20ad397ee073e0","title":"Data Scientist","description":"Job Summary\nWe are seeking a highly motivated Data Scientist with 3+ years of experience in building predictive models, analyzing large datasets, and delivering actionable business insights. The ideal candidate has strong expertise in machine learning, statistical analysis, and programming, along with experience working in cloud-based environments.\nKey Responsibilities\nCollect, clean, and analyze structured and unstructured datasets.\nDevelop, validate, and deploy machine learning models for business use cases.\nPerform exploratory data analysis (EDA) and feature engineering.\nBuild predictive and classification models using statistical and ML techniques.\nCollaborate with cross-functional teams including Product, Engineering, and Business stakeholders.\nDesign and implement A/B testing frameworks and evaluate model performance.\nCreate dashboards and reports using visualization tools.\nOptimize data pipelines and automate analytical workflows.\nPresent findings and recommendations to technical and non-technical audiences.\nRequired Qualifications\nBachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.\n3+ years of professional experience as a Data Scientist or related role.\nStrong programming skills in Python (NumPy, Pandas, Scikit-learn) and/or R.\nExperience with SQL and relational databases.\nHands-on experience with machine learning algorithms such as:\nRegression\nClassification\nClustering\nTime Series Forecasting\nRecommendation Systems\nExperience with deep learning frameworks such as TensorFlow or PyTorch is a plus.\nKnowledge of statistics, probability, and hypothesis testing.\nExperience with cloud platforms such as AWS, Azure, or Google Cloud Platform.\nFamiliarity with big data technologies such as Spark or Hadoop is preferred.\nExperience using Git and CI/CD practices.\nPreferred Skills\nNLP, Computer Vision, or Generative AI experience.\nExperience with Large Language Models (LLMs) and prompt engineering.\nKnowledge of MLOps tools such as MLflow, Kubeflow, or SageMaker.\nExperience with Docker and Kubernetes.\nStrong problem-solving and analytical skills.\nExcellent communication and stakeholder management skills.\nNice to Have\nExperience with Generative AI, Retrieval-Augmented Generation (RAG), vector databases, and LLM application development.\nRelevant certifications in AWS, Azure, Databricks, or Google Cloud.\nExperience in Agile/Scrum environments.\nPay: $110,030.48 - $132,509.81 per year\nBenefits:\nFlexible schedule\nPaid time off\nWork Location: Hybrid remote in Saint Peters, MO 63303","company":"Vs Techsystems","rawCompany":"vs techsystems","city":"O'Fallon","state":"MO","isRemote":false,"isActive":false,"createdAt":"2026-08-06T16:24:46.622Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Scientist","description":"Job Summary\nWe are seeking a highly motivated Data Scientist with 3+ years of experience in building predictive models, analyzing large datasets, and delivering actionable business insights. The ideal candidate has strong expertise in machine learning, statistical analysis, and programming, along with experience working in cloud-based environments.\nKey Responsibilities\nCollect, clean, and analyze structured and unstructured datasets.\nDevelop, validate, and deploy machine learning models for business use cases.\nPerform exploratory data analysis (EDA) and feature engineering.\nBuild predictive and classification models using statistical and ML techniques.\nCollaborate with cross-functional teams including Product, Engineering, and Business stakeholders.\nDesign and implement A/B testing frameworks and evaluate model performance.\nCreate dashboards and reports using visualization tools.\nOptimize data pipelines and automate analytical workflows.\nPresent findings and recommendations to technical and non-technical audiences.\nRequired Qualifications\nBachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.\n3+ years of professional experience as a Data Scientist or related role.\nStrong programming skills in Python (NumPy, Pandas, Scikit-learn) and/or R.\nExperience with SQL and relational databases.\nHands-on experience with machine learning algorithms such as:\nRegression\nClassification\nClustering\nTime Series Forecasting\nRecommendation Systems\nExperience with deep learning frameworks such as TensorFlow or PyTorch is a plus.\nKnowledge of statistics, probability, and hypothesis testing.\nExperience with cloud platforms such as AWS, Azure, or Google Cloud Platform.\nFamiliarity with big data technologies such as Spark or Hadoop is preferred.\nExperience using Git and CI/CD practices.\nPreferred Skills\nNLP, Computer Vision, or Generative AI experience.\nExperience with Large Language Models (LLMs) and prompt engineering.\nKnowledge of MLOps tools such as MLflow, Kubeflow, or SageMaker.\nExperience with Docker and Kubernetes.\nStrong problem-solving and analytical skills.\nExcellent communication and stakeholder management skills.\nNice to Have\nExperience with Generative AI, Retrieval-Augmented Generation (RAG), vector databases, and LLM application development.\nRelevant certifications in AWS, Azure, Databricks, or Google Cloud.\nExperience in Agile/Scrum environments.\nPay: $110,030.48 - $132,509.81 per year\nBenefits:\nFlexible schedule\nPaid time off\nWork Location: Hybrid remote in Saint Peters, MO 63303","datePosted":"2026-08-06T16:24:46.622Z","dateModified":"2026-08-06T16:24:46.622Z","hiringOrganization":{"@type":"Organization","name":"Vs Techsystems","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"O'Fallon","addressRegion":"MO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"df8d17471c20ad397ee073e0"},"url":"https://jobsearcher.com/jobs/df8d17471c20ad397ee073e0"}}