Manager, Data Science

Inland Empire Health Plans; Rancho Cucamonga (CA); On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

Competitive salary

On-site fitness center

Medical Insurance

Life insurance options

Career advancement opportunities

Wellness programs

Flexible Spending Account

CalPERS retirement

457(b) option with match

Pet care insurance

Job summary

Inland Empire Health Plans is seeking a Manager of Data Science to lead a team focused on healing and inspiring the human spirit through AI and data applications. The successful candidate will possess strong technical skills in advanced machine learning and experience in the healthcare sector.

This role offers various benefits, including competitive salary, state-of-the-art on-site fitness center, and extensive medical insurance options, promoting a healthy work-life balance.

Qualifications

• At least 10 years of experience with a minimum of 7 years in data science & ML.
• Proven track record in leading AI/ML projects from conception to production.
• Experience with healthcare analytics, claims data, and member engagement.

Responsibilities

• Lead a team of data scientists, ML engineers, and AI specialists.
• Align AI-driven solutions with business strategy.
• Develop production-grade ML models and drive business outcomes.

Skills

Leadership experience

AI/ML project management

Python programming

Data manipulation

Generative AI

Communication skills

Critical thinking

Cloud platforms

Education

Bachelor's Degree in Mathematics, Statistics, or Computer Science

Master's Degree preferred

Tools

Azure ML

GCP Vertex AI

Kubernetes

MLflow

Job description

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

• 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.