Data Scientist I

Inland Empire Health Plan
Rancho Cucamonga, CA, United States
3 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Starter
Experience required
0 years minimum
Compensation
$104,042.0 - $171,642.0
Working hours
Regular working hours
Job source

Tech stack

Java (Programming Language) JavaScript (Programming Language) Computing Platforms Big Data Databases Distributed Data Store Distributed Systems Apache Hadoop MapReduce Python (Programming Language) Systems Integration Large Language Models

Requirements

  • Less than twelve (12) months of experience in analytics, data science, and business intelligence
  • Experience in developing algorithms, predictive analytics, or statistical models is required
  • Experience in analyzing large data sets that have complex designs that are unstructured, structured, and semi-structured is also required
  • Experience in the use of statistical packages is 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

  • Working knowledge and understanding in the following areas:
  • Manipulating large datasets and using database and general-purpose programming language (such as Hadoop MapReduce, Python, JavaScript, or other big data frameworks, Java)
  • Basic principles of distributed computing and/or distributed databases
  • Understanding new concepts down to the theorems and to come out with original solutions to mathematical issues
  • One or more business/functional areas
  • Diagnosis and procedure coding and medical terminology
  • Managed care, claims payment processes, and insurance terminology
  • Implementation of LLM Models and GenAI solutions
  • Strong analysis and critical thinking skills
  • Excellent communication and interpersonal skills
  • In addition to advanced analytic skills, this role is proficient at integrating and preparing large, varied datasets, architecting specialized databases and computing environments, and communicating end results
  • Proven ability to:
  • Demonstrate a commitment to support strategic priorities to become a 5 Star Health Plan and incorporate LEAN principles into daily work
  • Multi-task while maintaining careful attention to detail
  • Solve complex problems
  • Be an 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

Benefits & conditions

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! Reporting to the Manager of Data Science, the Data Scientist I is responsible for maintaining production models, monitoring the models for continued accuracy, modeling drifts, and helping to discover insights and identifying opportunities using statistical, algorithmic, mining, and visualization techniques. This position builds and tests statistical models and machine learning algorithms with input from senior Data Scientists. 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

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