Manager, Data Science
IEHP · Rancho Cucamonga, CA · Yesterday
Engineering$154k/yrFull-time
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!
About the role
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.
Responsibilities
- Enables the development of production-grade ML models
- Buils GenAI applications (LLMs, RAG pipelines, prompt engineering, finetuning, multimodal models)
- Drives measurable business outcomes
Requirements
- 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
Qualifications
- Required: Bachelor's Degree in Mathematics, Statistics, Computer Science, or related field from an accredited institution
- Preferred: Master's Degree in Mathematics, Statistics, Computer Science, or related field from an accredited institution
- Familiarity with basic principles of distributed computing and/or distributed databases
- Working knowledge of diagnosis and procedure coding, medical terminology, knowledge of managed care, claims payment processes, and insurance terminology
- 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
- 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
Pay
$154,128.00 USD Annually - $204,214.40 USD Annually