{"schemaVersion":"jobsearcher.job.v1","id":"88c282f20934f195081657fa","url":"https://jobsearcher.com/jobs/88c282f20934f195081657fa","canonicalUrl":"https://jobsearcher.com/jobs/88c282f20934f195081657fa","title":"Sr Data Scientist – Artificial Intelligence & Manufacturing Analytics","description":"We are seeking a highly skilled Senior Data Scientist to join our innovative team and drive the development and implementation of advanced analytics and artificial intelligence solutions within a manufacturing environment. This role will leverage data science, machine learning, and AI technologies to optimize processes, improve operational performance, and deliver data-driven solutions that create measurable business impact.\nThe ideal candidate is a hands-on technical professional with experience developing and deploying AI/ML models, collaborating with cross-functional teams, and transforming complex data into actionable insights. This position offers the opportunity to work at the intersection of artificial intelligence, software development, and manufacturing excellence.\nResponsibilities\nDesign, develop, validate, and deploy Artificial Intelligence and Machine Learning models to optimize processes, improve efficiency, and solve complex operational challenges.\nApply advanced analytics, statistical modeling, data mining, and machine learning techniques to generate business and manufacturing insights.\nDevelop AI solutions using technologies such as Machine Learning, Deep Learning, Generative AI, and Large Language Models (LLMs).\nSupport the integration and implementation of AI solutions into manufacturing and operational environments.\nCollaborate with engineering, manufacturing, quality, and business teams to identify opportunities where data science can drive improvements.\nDevelop and maintain technical documentation, protocols, reports, and development records following quality and compliance expectations.\nAnalyze complex datasets, identify trends, and communicate findings to both technical and non-technical stakeholders.\nParticipate in continuous improvement initiatives by applying digital technologies and innovative data-driven approaches.\nEnsure solutions align with quality systems, documentation practices, and operational compliance requirements.\nManage projects effectively while balancing technical execution, timelines, and business priorities.\nQualifications\nCandidates must meet one of the following education and experience combinations:\nDoctorate degree in Data Science, Business, Statistics, Data Mining, Applied Mathematics, Business Analytics, Engineering, Computer Science, or a related field OR Master’s degree plus 2+ years of experience in Data Science, Business, Statistics, Data Mining, Applied Mathematics, Business Analytics, Engineering, Computer Science, or a related technical field OR Bachelor’s degree plus 4+ years of experience in Data Science, Business, Statistics, Data Mining, Applied Mathematics, Business Analytics, Engineering, Computer Science, or a related technical field OR Associate degree plus 8+ years of experience in Data Science, Business, Statistics, Data Mining, Applied Mathematics, Business Analytics, Engineering, Computer Science, or a related technical field OR High School diploma/GED plus 10+ years of experience in Data Science, Business, Statistics, Data Mining, Applied Mathematics, Business Analytics, Engineering, Computer Science, or a related technical field.\nBachelor’s or advanced degree in Computer Engineering, Computer Science, or a related discipline preferred.\nSpecialized coursework or certifications in Artificial Intelligence, Machine Learning, or AI model development.\nExperience providing manufacturing support; experience in vial filling or similar pharmaceutical manufacturing processes is highly preferred.\nDemonstrated experience deploying or integrating AI/ML solutions into manufacturing or operational environments.\nStrong knowledge of Artificial Intelligence, software development, and modern digital technologies.\nHands-on experience developing AI/ML models for process optimization, automation, or task improvement.\nExperience with Python and AI/ML frameworks such as TensorFlow, PyTorch, OpenCV, or similar platforms.\nKnowledge of Machine Learning, Deep Learning, Generative AI, and Large Language Models (LLMs).\nExperience with statistical analysis tools such as JMP or similar statistical software.\nExperience creating technical documentation, development records, protocols, and technical reports.\nKnowledge of Good Documentation Practices (GDP), quality systems, and regulated industry compliance requirements.\nStrong project management, analytical thinking, and problem-solving skills.\nAbility to collaborate effectively with multidisciplinary teams and communicate complex technical concepts clearly.\nStrong attention to detail with a quality and compliance-focused mindset.\nProficiency using AI tools, digital technologies, and advanced computer applications.\nAdvanced problem-solving and analytical skills.\nAbility to translate business and operational challenges into data-driven solutions.\nStrong communication skills with both technical and non-technical audiences.\nSelf-driven mindset with the ability to manage multiple priorities in a dynamic environment.\nPassion for innovation and applying emerging technologies to real-world challenges.\nJob Type: Full-time\nPay: $50.00 - $55.00 per hour\nExperience:\nArtificial Intelligence, Machine Learning: 5 years (Preferred)\nAI model development: 5 years (Preferred)\nproviding manufacturing support: 5 years (Preferred)\nvial filling or similar manufacturing processes: 5 years (Preferred)\ndeploying or integrating AI/ML solutions into manufacturing : 5 years (Preferred)\nknowledge of Artificial Intelligence: 5 years (Preferred)\ndeveloping AI/ML models for process optimization: 5 years (Preferred)\nPython and AI/ML frameworks : 5 years (Preferred)\nTensorFlow, PyTorch, OpenCV: 5 years (Preferred)\nMachine Learning, Deep Learning, Generative AI: 5 years (Preferred)\nstatistical analysis tools such as JMP : 5 years (Preferred)\ncreating technical documentation, development records: 5 years (Preferred)\nGood Documentation Practices (GDP), quality systems: 5 years (Preferred)\nAI tools, digital technologies: 5 years (Preferred)\nWork Location: In person","company":"Prpdg","rawCompany":"prpdg","city":"Juncos","state":"PR","isRemote":false,"isActive":false,"createdAt":"2026-08-03T21:29:15.938Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"17-2112.00","title":"Industrial Engineers","slug":"industrial-engineers"}],"industries":[{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"},{"code":"333248","title":"All Other Industrial Machinery Manufacturing","slug":"all-other-industrial-machinery-manufacturing"},{"code":"325412","title":"Pharmaceutical Preparation Manufacturing","slug":"pharmaceutical-preparation-manufacturing"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Sr Data Scientist – Artificial Intelligence & Manufacturing Analytics","description":"We are seeking a highly skilled Senior Data Scientist to join our innovative team and drive the development and implementation of advanced analytics and artificial intelligence solutions within a manufacturing environment. This role will leverage data science, machine learning, and AI technologies to optimize processes, improve operational performance, and deliver data-driven solutions that create measurable business impact.\nThe ideal candidate is a hands-on technical professional with experience developing and deploying AI/ML models, collaborating with cross-functional teams, and transforming complex data into actionable insights. This position offers the opportunity to work at the intersection of artificial intelligence, software development, and manufacturing excellence.\nResponsibilities\nDesign, develop, validate, and deploy Artificial Intelligence and Machine Learning models to optimize processes, improve efficiency, and solve complex operational challenges.\nApply advanced analytics, statistical modeling, data mining, and machine learning techniques to generate business and manufacturing insights.\nDevelop AI solutions using technologies such as Machine Learning, Deep Learning, Generative AI, and Large Language Models (LLMs).\nSupport the integration and implementation of AI solutions into manufacturing and operational environments.\nCollaborate with engineering, manufacturing, quality, and business teams to identify opportunities where data science can drive improvements.\nDevelop and maintain technical documentation, protocols, reports, and development records following quality and compliance expectations.\nAnalyze complex datasets, identify trends, and communicate findings to both technical and non-technical stakeholders.\nParticipate in continuous improvement initiatives by applying digital technologies and innovative data-driven approaches.\nEnsure solutions align with quality systems, documentation practices, and operational compliance requirements.\nManage projects effectively while balancing technical execution, timelines, and business priorities.\nQualifications\nCandidates must meet one of the following education and experience combinations:\nDoctorate degree in Data Science, Business, Statistics, Data Mining, Applied Mathematics, Business Analytics, Engineering, Computer Science, or a related field OR Master’s degree plus 2+ years of experience in Data Science, Business, Statistics, Data Mining, Applied Mathematics, Business Analytics, Engineering, Computer Science, or a related technical field OR Bachelor’s degree plus 4+ years of experience in Data Science, Business, Statistics, Data Mining, Applied Mathematics, Business Analytics, Engineering, Computer Science, or a related technical field OR Associate degree plus 8+ years of experience in Data Science, Business, Statistics, Data Mining, Applied Mathematics, Business Analytics, Engineering, Computer Science, or a related technical field OR High School diploma/GED plus 10+ years of experience in Data Science, Business, Statistics, Data Mining, Applied Mathematics, Business Analytics, Engineering, Computer Science, or a related technical field.\nBachelor’s or advanced degree in Computer Engineering, Computer Science, or a related discipline preferred.\nSpecialized coursework or certifications in Artificial Intelligence, Machine Learning, or AI model development.\nExperience providing manufacturing support; experience in vial filling or similar pharmaceutical manufacturing processes is highly preferred.\nDemonstrated experience deploying or integrating AI/ML solutions into manufacturing or operational environments.\nStrong knowledge of Artificial Intelligence, software development, and modern digital technologies.\nHands-on experience developing AI/ML models for process optimization, automation, or task improvement.\nExperience with Python and AI/ML frameworks such as TensorFlow, PyTorch, OpenCV, or similar platforms.\nKnowledge of Machine Learning, Deep Learning, Generative AI, and Large Language Models (LLMs).\nExperience with statistical analysis tools such as JMP or similar statistical software.\nExperience creating technical documentation, development records, protocols, and technical reports.\nKnowledge of Good Documentation Practices (GDP), quality systems, and regulated industry compliance requirements.\nStrong project management, analytical thinking, and problem-solving skills.\nAbility to collaborate effectively with multidisciplinary teams and communicate complex technical concepts clearly.\nStrong attention to detail with a quality and compliance-focused mindset.\nProficiency using AI tools, digital technologies, and advanced computer applications.\nAdvanced problem-solving and analytical skills.\nAbility to translate business and operational challenges into data-driven solutions.\nStrong communication skills with both technical and non-technical audiences.\nSelf-driven mindset with the ability to manage multiple priorities in a dynamic environment.\nPassion for innovation and applying emerging technologies to real-world challenges.\nJob Type: Full-time\nPay: $50.00 - $55.00 per hour\nExperience:\nArtificial Intelligence, Machine Learning: 5 years (Preferred)\nAI model development: 5 years (Preferred)\nproviding manufacturing support: 5 years (Preferred)\nvial filling or similar manufacturing processes: 5 years (Preferred)\ndeploying or integrating AI/ML solutions into manufacturing : 5 years (Preferred)\nknowledge of Artificial Intelligence: 5 years (Preferred)\ndeveloping AI/ML models for process optimization: 5 years (Preferred)\nPython and AI/ML frameworks : 5 years (Preferred)\nTensorFlow, PyTorch, OpenCV: 5 years (Preferred)\nMachine Learning, Deep Learning, Generative AI: 5 years (Preferred)\nstatistical analysis tools such as JMP : 5 years (Preferred)\ncreating technical documentation, development records: 5 years (Preferred)\nGood Documentation Practices (GDP), quality systems: 5 years (Preferred)\nAI tools, digital technologies: 5 years (Preferred)\nWork Location: In person","datePosted":"2026-08-03T21:29:15.938Z","dateModified":"2026-08-03T21:29:15.938Z","hiringOrganization":{"@type":"Organization","name":"Prpdg","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Juncos","addressRegion":"PR","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"88c282f20934f195081657fa"},"url":"https://jobsearcher.com/jobs/88c282f20934f195081657fa"}}