Manager, Data Science

What you can expect!

Find joy in serving others with IEHP! We welcome you to join us in “healing and inspiring the human spirit” and to pivot from a “job” opportunity to an 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.

Perks

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

Education & Requirement

Required:

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

Key Qualifications

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 !