{"schemaVersion":"jobsearcher.job.v1","id":"82f2c8cc62ed4c9005d5e97d","url":"https://jobsearcher.com/jobs/82f2c8cc62ed4c9005d5e97d","canonicalUrl":"https://jobsearcher.com/jobs/82f2c8cc62ed4c9005d5e97d","title":"Data Scientist","description":"Location: Preferable if the candidate is in Sacramento / Atlanta / Denver\nKey Responsibilities\nPartner with client stakeholders, product owners, and engineering teams to understand business problems and convert them into AI/ML solutions\nDesign, build, and optimize Machine Learning and Deep Learning models for enterprise-scale applications\nWork on advanced AI use cases involving NLP, Predictive Analytics, Recommendation Systems, Time Series Forecasting, and Generative AI\nAnalyze structured and unstructured datasets to generate actionable business insights\nDevelop scalable data pipelines, model training workflows, and experimentation frameworks\nBuild and evaluate AI models using modern ML frameworks and cloud platforms\nTake end-to-end ownership of projects from research, prototyping, and validation to deployment and monitoring\nStay updated with the latest advancements in AI, LLMs, Agentic AI, and Data Science research\nCollaborate closely with AI/ML Engineers, Cloud teams, and product teams to deliver high-impact enterprise solutions\nContribute to research initiatives, whitepapers, patents, or publications where applicable\nTechnical Skills\nStrong programming expertise in Python\nHands-on experience with TensorFlow, PyTorch, Scikit-learn, Hugging Face, or similar frameworks\nStrong understanding of Machine Learning, Deep Learning, NLP, Statistical Modeling, and Data Mining\nExperience working with Large Language Models (LLMs), RAG pipelines, or Generative AI frameworks is a plus\nExperience with SQL, data processing, and large-scale datasets\nFamiliarity with cloud platforms such as AWS, Azure, or GCP\nKnowledge of MLOps, model deployment, Docker, and CI/CD pipelines is preferred\nStrong analytical thinking, experimentation mindset, and problem-solving capabilities\nRequired Qualifications\nPhD in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Statistics, Mathematics, or related quantitative fields is strongly preferred\nCandidates with strong research backgrounds, publications, or thesis work in AI/ML domains will be highly valued\n2+ years of relevant experience in Data Science, Machine Learning, or Applied AI","company":"Flexday","rawCompany":"flexday","city":"Duluth","state":"GA","isRemote":false,"isActive":false,"createdAt":"2026-08-07T10:04:36.484Z","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":"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":"Location: Preferable if the candidate is in Sacramento / Atlanta / Denver\nKey Responsibilities\nPartner with client stakeholders, product owners, and engineering teams to understand business problems and convert them into AI/ML solutions\nDesign, build, and optimize Machine Learning and Deep Learning models for enterprise-scale applications\nWork on advanced AI use cases involving NLP, Predictive Analytics, Recommendation Systems, Time Series Forecasting, and Generative AI\nAnalyze structured and unstructured datasets to generate actionable business insights\nDevelop scalable data pipelines, model training workflows, and experimentation frameworks\nBuild and evaluate AI models using modern ML frameworks and cloud platforms\nTake end-to-end ownership of projects from research, prototyping, and validation to deployment and monitoring\nStay updated with the latest advancements in AI, LLMs, Agentic AI, and Data Science research\nCollaborate closely with AI/ML Engineers, Cloud teams, and product teams to deliver high-impact enterprise solutions\nContribute to research initiatives, whitepapers, patents, or publications where applicable\nTechnical Skills\nStrong programming expertise in Python\nHands-on experience with TensorFlow, PyTorch, Scikit-learn, Hugging Face, or similar frameworks\nStrong understanding of Machine Learning, Deep Learning, NLP, Statistical Modeling, and Data Mining\nExperience working with Large Language Models (LLMs), RAG pipelines, or Generative AI frameworks is a plus\nExperience with SQL, data processing, and large-scale datasets\nFamiliarity with cloud platforms such as AWS, Azure, or GCP\nKnowledge of MLOps, model deployment, Docker, and CI/CD pipelines is preferred\nStrong analytical thinking, experimentation mindset, and problem-solving capabilities\nRequired Qualifications\nPhD in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Statistics, Mathematics, or related quantitative fields is strongly preferred\nCandidates with strong research backgrounds, publications, or thesis work in AI/ML domains will be highly valued\n2+ years of relevant experience in Data Science, Machine Learning, or Applied AI","datePosted":"2026-08-07T10:04:36.484Z","dateModified":"2026-08-07T10:04:36.484Z","hiringOrganization":{"@type":"Organization","name":"Flexday","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Duluth","addressRegion":"GA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"82f2c8cc62ed4c9005d5e97d"},"url":"https://jobsearcher.com/jobs/82f2c8cc62ed4c9005d5e97d"}}