HybridTwo days remote and three days on-site in Rancho Cucamonga, California, each week.
Data & AnalyticsData Science
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.
Overview
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.
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
Key Responsibilities
Lead and drive cross-functional data science projects from beginning to end, which include building relationships with partner teams, framing and structuring questions, collecting, and analyzing data.
Apply descriptive and predictive analytics to help drive insights and business decisions.
Apply a diverse set of tactics such as statistics, quantitative reasoning, and machine learning to research and produce insights.
Work with data engineering and data solutions teams to ensure proper data tracking is set up for features and support debugging and development of new ETL processes.
Build deep-dive analyses and eventual machine learning models to better forecast risk across the portfolio for our contracts and claims activity.
Support business operations, finance, quality systems, and other internal teams by building analytics and reporting to understand overall business performance and increase organizational efficiencies.
Manage tests for specific providers and generate data to build out case studies and messaging strategies.
Designs experiments, test hypotheses, and build models.
Conducts data analysis and create moderately complex algorithms.
Work with Institute stakeholders to identify the business requirements and the expected outcomes.
Work with and alongside business analysts by suggesting other products of interest to the client.
Models and frames business scenarios that are meaningful and which impact on 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.
Demonstrate a commitment to support IEHP’s strategic priorities to become a 5-Star Health Plan and incorporate LEAN principles into daily work.
Ensure the privacy and security of PHI (Protected Health Information) as outlined in IEHP's policies and procedures relating to HIPAA compliance.
Perform any other duties as required to ensure Health Plan operations and department business needs are successful.
Qualifications
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 MapReduce, 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!
Work Model Location
This position is on a hybrid work schedule. (Monday & Friday - remote, Tuesday – Thursday onsite in Rancho Cucamonga, CA.)
Should be willing to be on-call occasionally to attend to technical issues outside of normal business hours