Data Scientist II

Inland Empire Health Plan

California (MO)

Hybrid

USD 118,601 - 157,144

Full time

14 days+

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Benefits offered by this job

Competitive salary

On-site fitness center

Medical Insurance with Dental and Vision

Career advancement opportunities

Flexible Spending Account

Job summary

Inland Empire Health Plan is seeking a Data Scientist II to analyze complex data and drive insights that enhance our operations. In this role, you will collaborate with teams to produce analytics and support decision-making processes in a hybrid work model.

The ideal candidate should have at least four years of experience in data science, strong machine learning skills, and the ability to communicate effectively with stakeholders. Join us and contribute to our mission of serving the community!

Qualifications

Minimum of four years of experience in analytics and data science.
Experience in developing algorithms and predictive analytics.
Strong understanding of machine learning with applied experience.

Responsibilities

Lead data science projects and collaborate with partner teams.
Apply analytics to drive insights and business decisions.
Communicate analysis results to high-level stakeholders.

Skills

Machine Learning theory

Statistical analysis

Data manipulation

Interpersonal communication

Problem-solving

Education

Bachelor's degree in a related field

Certification in data science

Tools

Python

Hadoop MapReduce

Statistical packages

Job description

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 anauthentic 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