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IEHP

Nonprofit public health plan for the Inland Empire

Data Scientist II

Data SciencePosted on Nov 5
Full-timeRancho Cucamonga, CA, USA$118.6k - $157.1k /yr

About the Job

Requirements

  • A minimum of four years of experience in analytics, data science, and business intelligence is required.
  • Experience developing algorithms, predictive analytics, or statistical models and using statistical packages is required.
  • Experience analyzing large datasets with unstructured, structured, and semi-structured designs is required.
  • A bachelor's degree in a related field, or a bachelor's degree in an unrelated field together with a certification in data science from an accredited institution, is required.
  • Strong understanding of machine learning theory with significant applied experience is required.
  • Familiarity with basic principles of distributed computing or distributed databases is required.
  • Knowledge of one or more business or functional areas is required.
  • Strong analytic and critical-thinking skills, including preparing and integrating large varied datasets, architecting specialized databases and computing environments, and communicating results, is required.
  • Strong written and verbal communication and interpersonal skills are required.
  • Strong scientific Python skills using pandas, scikit-learn, and statistical models, together with an understanding of model deployment patterns, are required.
  • Ability to facilitate cross-functional projects that depend on contributions from people in various disciplines is required.
  • Ability to manage multiple projects and data inputs while maintaining attention to detail and solving problems is required.
  • Ability to manipulate large datasets and use databases and general-purpose programming languages such as Hadoop MapReduce, Python, JavaScript, Java, or other big-data frameworks is required.
  • Ability to understand new concepts, including underlying theorems, and develop original solutions to mathematical issues is required.
  • Ability to build relationships and influence across the organization is required.
  • Ability to work independently, meet deadlines, and address competing priorities with urgency is required.
  • Willingness to be on-call occasionally for technical issues outside normal business hours is required.
  • The role must protect Protected Health Information in accordance with IEHP policies and HIPAA compliance requirements.

Responsibilities

  • Lead and drive cross-functional data science projects from beginning to end, including building relationships with partner teams, framing and structuring questions, collecting data, and analyzing data.
  • Apply descriptive and predictive analytics to support insights and business decisions.
  • Apply statistics, quantitative reasoning, and machine learning to research and produce insights.
  • Work with data engineering and data solutions teams to establish data tracking for features and support debugging and development of new extract, transform, and load processes.
  • Build deep-dive analyses and machine learning models to forecast risk across the portfolio for contracts and claims activity.
  • Support business operations, finance, quality systems, and internal teams by building analytics and reporting to understand business performance and improve organizational efficiency.
  • Manage tests for specific providers and generate data for case studies and messaging strategies.
  • Design experiments, test hypotheses, and build models.
  • Conduct data analysis and create moderately complex algorithms.
  • Work with Institute stakeholders to identify business requirements and expected outcomes.
  • Work alongside business analysts by suggesting other products of interest to clients.
  • Model and frame business scenarios that affect critical business processes or decisions.
  • Collaborate with subject matter experts to select relevant information sources.
  • Recommend ongoing improvements to methods and algorithms that lead to findings, including new information.
  • Track and monitor the performance of decision systems and statistical models.
  • Communicate analyses 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 solutions, features, policies, and models.
  • Support IEHP strategic priorities to become a 5-Star Health Plan and incorporate LEAN principles into daily work.
  • Perform other duties required to support Health Plan operations and department business needs.

Desired Qualifications

  • Experience in medical or health services is preferred.

About the Company

IEHP

Nonprofit public health plan for the Inland Empire

IEHP is a nonprofit public health plan that connects residents of California's Riverside and San Bernardino counties with health coverage and care. It administers Medi-Cal coverage for eligible low-income residents, IEHP DualChoice for people with both Medicare and Medi-Cal, and IEHP Covered plans through Covered California. Members receive care through a network of doctors and other providers, with dedicated care teams for those who need extra support. Its community wellness centers run free fitness classes and health workshops, and it connects residents with food and housing resources. IEHP began operating in 1996 and is headquartered in Rancho Cucamonga, California.

Company size
1,001-5,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Rancho Cucamonga, CA
Founded
1996

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