Senior Manager, Data Science & GenAI (Healthcare)

IEHP

Rancho Cucamonga (CA)

On-site

USD 154,000 - 204,000

Full time

4 days ago
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Benefits offered by this job

Competitive salary
On-site fitness center
Medical Insurance with Dental and Vis
Life, short-term, and long-term(dis)
Career advancement opportunities
Wellness programs
Flexible Spending Account – Health/CH
CalPERS retirement
457(b) match
Paid life insurance
Pet care insurance

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

Python
PyTorch
TensorFlow
LangChain
Hugging Face
Kubernetes
KServe
Ray
MLflow
AI ethics
Model interpretability
Communication
Leadership

Education

Bachelor's Degree in Mathematics, Statistics, Computer Science, or related field
Master's Degree in Mathematics, Statistics, Computer Science, or related field (preferred)

Tools

Azure ML
GCP Vertex AI
On-prem MLOps

Job description

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.

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