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Data Scientist II

Job in Rancho Cucamonga, San Bernardino County, California, 91739, USA
Listing for: Inland Empire Health Plans
Full Time position
Listed on 2026-02-16
Job specializations:
  • IT/Tech
    Data Scientist, Data Analyst
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

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!

Under the direction of the Manager, Data Science, the Data Scientist II is responsible for modeling complex institutional problems, discovering insights, and identifying opportunities using statistical, algorithmic, mining and visualization techniques. Collaborating closely with Data Science Developers, this role partners with our business stakeholders to identify ways to augment and enhance our data in order to provide insight beyond what can be gleaned from the data we have today.

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
  • Minimum of four (4) years of experience in analytics, data science, and business intelligence
  • Experience in developing algorithms, predictive analytics, or statistical models and using statistical packages are required
  • Experience in analyzing large data sets that have complex (i.e., unstructured, structured, and semi-structured) designs is also required
    • Experience in the areas of medical or health services is preferred
  • Bachelor’s degree in a related field or any non-related field along with a certification in data science from an accredited institution is required
Key Qualifications
  • Strong understanding of Machine Learning theory with significant applied experience
  • Familiarity with basic principles of distributed computing and/or distributed databases
  • Knowledge of one or more business/functional areas
  • Excellent interpersonal and communication skills
  • Strong analytic and critical thinking skills. In addition to advanced analytic skills, this role is also proficient at integrating and preparing large, varied datasets, architecting specialized databases, and computing environments, and communicating results
  • Strong written and verbal communication skills. Excellent interpersonal/ communication skills
  • Strong scientific Python skills using pandas, scikit-learn, and statistical models, as well as strong understanding of model deployment patterns
  • Proven ability to facilitate cross-functional projects that depend on the contributions of others in a variety of disciplines
  • Ability to multi-task while maintaining careful attention-to-detail
  • Ability to handle multiple projects, data input, and strong problem-solving capability
  • Proven ability to manipulate large datasets and use database and general-purpose programming language (such as Hadoop Map Reduce, Python, JavaScript, or other big data frameworks, Java)
  • 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 build relationships and influence across the organization
  • 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

Start your journey towards a thriving future with IEHP and apply TODAY!

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