Manager, Data Science
IEHP
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Benefits offered by this job
Job summary
IEHP in California seeks a Manager, Data Science to lead a team of data scientists, ML engineers, and AI specialists. You will develop production-grade ML models and GenAI applications, and align AI initiatives with business strategy in a managed care environment.
This senior role requires 10+ years in data science, 7+ in ML, and 5+ in leadership, plus hands-on Cloud/On-prem AI platforms and healthcare analytics. A Bachelor's in math/CS is required; a Master’s is preferred.
Qualifications
- At least ten years of experience in data science & ML with seven+ years in leadership roles.
- Proven track record leading AI/ML projects from conception to production.
- Experience with cloud AI platforms (Azure ML, Vertex AI) and/or on-prem MLOps.
Responsibilities
- Lead a team of data scientists, ML engineers, and AI specialists.
- Develop production-grade ML models and GenAI applications.
- Align AI initiatives with business strategy and measurable outcomes.
- Drive quality and governance in AI projects including bias mitigation and interpretability.
Skills
Education
Tools
Job description
authentic experience! The Manager, Data Science leads a team of data scientists, ML engineers, and AI specialists. This role requires a strong balance of technical expertise in advanced machine learning (including Generative AI), leadership experience, health care domain knowledge preferably in the managed care space, and the ability to align AI-driven solutions with business strategy. The Manager, Data Science enables the development of production-grade ML models, building GenAI applications (LLMs, RAG pipelines, prompt engineering, finetuning, multimodal models), and drives measurable business outcomes.
Commitment to Quality: The IEHP Team is committed to incorporate IEHP’s Quality Program goals including, but not limited to, HEDIS, CAHPS, and NCQA Accreditation.
IEHP is not only committed to healing and inspiring the human spirit of our Members, but we also aim to match our team members with the same energy by providing prime benefits and more.
- Competitive salary
- State of the art fitness center on-site
- Medical Insurance with Dental and Vision
- Life, short-term, and long-term disability options
- Career advancement opportunities and professional development
- Wellness programs that promote a healthy work-life balance
- Flexible Spending Account – Health Care/Childcare
- CalPERS retirement
- 457(b) option with a contribution match
- Paid life insurance for employees
- Pet care insurance
- At least ten (10) years of experience, which should include a minimum of seven (7) years of experience in data science & ML and at least five (5) years in a leadership/managerial role
- Proven track record in leading AI/ML projects from conception to production
- Experience with cloud AI platforms (Azure ML, GCP Vertex AI) and/or on-prem MLOps setups
- Direct experience in Managed Care and Healthcare analytics, including claims data, care management, utilization, risk adjustment, member engagement, or related areas
- Exposure to multimodal AI (text, image, audio, video) applications
- Experience with Kubernetes, KServe, Ray, or MLflow for scaling AI workloads
- Bachelor's Degree in Mathematics, Statistics, Computer Science, or related field from an accredited institution
- Master's Degree in Mathematics, Statistics, Computer Science, or related field from an accredited institution preferred
- Familiarity with basic principles of distributed computing and/or distributed databases
- Knowledge of one or more business/functional areas. Working knowledge of diagnosis and procedure coding, medical terminology, knowledge of managed care, claims payment processes, and insurance terminology required
- Familiarity with data governance, model interpretability, bias mitigation, and AI ethics
- Strong analysis and critical thinking skills. Excellent communication and interpersonal skills
- Strong programming skills in Python, PyTorch/TensorFlow, LangChain, Hugging Face, or equivalent framework
- Ability to manipulate large datasets and using database and general-purpose programming language (R, Python, JavaScript, or other big data frameworks, Java, SQL)
- Demonstrable ability to quickly understand new concepts all the way down to the theorems, and to come out with original solutions to mathematical issues
- Ability to multi-task while maintaining careful attention to detail. Ability to handle multiple projects, data input, and strong problem-solving capability. Independent self-starter who is driven to success, takes great pride in accomplishments and works with a sense of urgency to meet deadlines and address competing priorities
- Expertise in Generative AI (LLMs, transformers, embeddings, vector databases, RAG, fine-tuning, and prompt engineering). Strong business acumen and ability to translate technical solutions into executive-level impact stories.
Start your journey towards a thriving future with IEHP and apply TODAY!
- $154,128.00 USD Annually - $204,214.40 USD Annually
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