Data Scientist I

Inland Empire Health Plan•Rancho Cucamonga, CA

9d•Hybrid

About The Position

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. Additional Benefits 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

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
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
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

Nice To Haves

Experience in the areas of medical or health services is preferred

Responsibilities

Design experiments, test hypotheses, and build models.
Conduct data analysis and moderately complex algorithm.
Monitor and maintain production models for accuracy and identify model drifts.
Work with and alongside business analysts by suggesting other products.
Assist in modeling and framing business scenarios that are meaningful and which impact critical business processes and/or decisions.
Collaborate with Institute subject matter experts to select the relevant sources of information.
Recommend ongoing improvements to methods and algorithms that lead to findings, including new information.
Provide on-going tracking and monitoring of performance of decision systems and statistical models.
Communicate analysis and decisions to high-level stakeholders and executives in verbal, visual, and written formats.
Collaborate with business leaders, subject matter experts, and decision makers to develop success criteria and optimize new solutions, features, policies, and models.
Perform any other duties as required to ensure Health Plan operations and department business needs are successful.