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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Manager, Data Science - **Company:** Inland Empire Health Plan - **Location:** Rancho Cucamonga, CA, United States - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Health Informatics, Computer Programming, Python (Programming Language), Machine Learning, Tensorflow, Azure Machine Learning, Pytorch, Large Language Models, Prompt Engineering, Generative AI, AI Platforms, Kubernetes, Information Technology, HuggingFace, Machine Learning Operations - **Published:** August 6, 2026 - **Apply:** https://us.experteer.com/career/view-jobs/manager-data-science-rancho-cucamonga-ca-usa-58811522 ## About the Role aaaaaaaaaaaad_ teams to align AI work with business strategy and quality program goals * Mentor and develop team capabilities and best practices Tasks * 10+ years in data science and ML; at least 7 years in data science/ML and 5 years in a leadership role * Proven track record leading AI/ML projects from concept to production * Experience with cloud AI platforms (Azure ML, GCP Vertex AI) and/or on-prem MLOps * Direct experience in Managed Care and healthcare analytics (claims, care management, utilization, risk adjustment, member engagement) * Exposure to multimodal AI (text, image, audio, video) * Experience with Kubernetes, KServe, Ray, or MLflow for scaling AI workloads * Bachelor's Degree in Mathematics, Statistics, Computer Science, or related field; Master's preferred * Strong programming skills in Python; familiarity with PyTorch/TensorFlow, LangChain, Hugging Face Key requirements * Competitive salary * On-site fitness center * Medical Insurance with Dental and Vision * Life, short-term, and long-term disability * Career advancement opportunities * Wellness programs ## Description Experteer Overview As Manager, Data Science, you lead a team of data scientists, ML engineers, and AI specialists to deliver production-grade ML models and GenAI applications (LLMs, RAG pipelines, prompt engineering, finetuning, multimodal models). You align AI initiatives with business strategy and healthcare quality goals, driving measurable outcomes. This role sits at the crossroads of analytics, health informatics, and operational impact, shaping AI-driven solutions for managed care. You will work closely with cross-functional teams to elevate care quality and efficiency, in a mission-driven environment that values innovation and quality. Compensation / Benefits * Lead a team of data scientists, ML engineers, and AI specialists to deliver AI initiatives * Develop production-grade ML models and GenAI applications * Translate business needs into AI-driven solutions that drive measurable outcomes * Oversee AI/ML projects from conception to production and scale * Collaborate with cross-functional teams to align AI work with business strategy and quality program goals * Mentor and develop team capabilities and best practices Tasks * 10+ years in data science and ML; at least 7 years in data science/ML and 5 years in a leadership role * Proven track record leading AI/ML projects from concept to production * Experience with cloud AI platforms (Azure ML, GCP Vertex AI) and/or on-prem MLOps * Direct experience in Managed Care and healthcare analytics (claims, care management, utilization, risk adjustment, member engagement) * Exposure to multimodal AI (text, image, audio, video) * Experience with Kubernetes, KServe, Ray, or MLflow for scaling AI workloads * Bachelor's Degree in Mathematics, Statistics, Computer Science, or related field; Master's preferred * Strong programming skills in Python; familiarity with PyTorch/TensorFlow, LangChain, Hugging Face Key requirements * Competitive salary * On-site fitness center * Medical Insurance with Dental and Vision * Life, short-term, and long-term disability * Career advancement opportunities * Wellness programs ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. 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