Position Summary/Position

Under the direction of the Data Science Systems Manager, the Data Scientist III is responsible for modeling complex institutional problems, discovering insights and identifying opportunities using statistical, algorithmic, mining and visualization techniques. In addition to advanced analytic skills, this role is also proficient at integrating and preparing large, varied... datasets, architecting specialized database, and computing environments, and communicating results.

This level III role will be instrumental in setting IEHP data strategy and then doing the hands-on work to execute against it. Collaborating closely with Data Science Developers, this role will partner with our business stakeholders to identify ways to augment and enhance our data in order provide insight beyond what can be gleaned from the data we have today.

Major Functions (Duties and Responsibilities)

1. Partner with business stakeholders to show the value that IEHP delivers to members/providers, including building A/B or serial tests, NPS surveys, satisfaction surveys, or other methodologies to track successful attachment and conversion

2. Help turn these insights and predictive into business enablement and competitive positioning.

3. Perform exploratory data analysis to assemble metrics and KPIs to assess and gauge activity across available HIE data, and support teams throughout IEHP by delivering analyses and process improvements to help the business continue to scale

4. Lead and drive cross functional data science projects from beginning to end: build relationships with partner teams, frame and structure questions, collect and analyze data.

5. Apply descriptive and predictive analytics to help drive insights and business decisions.

6. Apply a diverse set of tactics such as statistics, quantitative reasoning, and machine learning to research and produce insights

7. 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.

8. Build deep-dive analyses and eventually machine learning models to better forecast risk across the portfolio for our contracts and claims activity.

9. Support business operations, finance, quality systems, and other internal teams by building analytics and reporting to understand overall business performance and increase organizational efficiencies

10. Manage tests for specific provider and generate data to build out case studies and messaging strategies.

11. Designs experiments, test hypotheses, and build models.

12. Conducts data analysis and moderately complex algorithm.

13. Works with Institute stakeholders to identify the business requirements and the expected outcome.

14. Works with and alongside business analysts by suggesting other products of interest to the client.

15. Models and frames business scenarios that are meaningful and which impact on critical business processes and/or decisions.

16. Collaborates with Institute subject matter experts to select the relevant sources of information.

17. Recommends ongoing improvements to methods and algorithms that lead to findings, including new information.

18. Provides on-going tracking and monitoring of performance of decision systems and statistical models.

19. Communicate analysis and decisions to high-level stakeholders and executives in verbal, visual, and written formats.

20. Collaborate with business leaders, subject matter experts, and decision makers to develop success criteria and optimize new solutions, features, policies, and models.

21. Demonstrate a commitment to support IEHP’s strategic priorities to become a 5-Star Health Plan and incorporate LEAN principles into daily work.

Major Functions (Duties and Responsibilities) Cont

Supervisory Responsibilities

Leading: Self

Experience Qualifications

Eight or more (8+) years of experience in analytics, data science, and business intelligence. Experience in developing algorithms, predictive analytics, or statistical models. Experience in analyzing large data sets that have complex designs that are unstructured, structured, and semi-structured. Experience in applying both statistical and machine-learning techniques to solve practical healthcare data problems. Proven ability to facilitate cross-functional projects that depend on the contributions of others in a variety of disciplines. Fluency with data warehouse design practices, analytics, and visualization technologies.

Preferred Experience

Experience in the areas of medical or health services is preferred.

Education Qualifications

Doctorate Degree in Mathematics, Statistics or Computer Science, or related field is required.

Significant experience and education may be considered in lieu of a Doctorate Degree. In lieu of a Doctorate Degree, a Master’s degree from an accredited institution and a minimum of 10 years of relevant work experience is required.

Preferred Education

Professional Certification

Professional Licenses

Drivers License Required

No

Knowledge Requirement

Kaggle grandmaster-level skills with history of deploying models to production. Strong understanding of Machine Learning theory with significant applied experience. Strong scientific Python skills using pandas, scikit-learn, and statsmodels, as well as strong understanding of model deployment patterns. Manipulating large datasets and using database and general-purpose programming language (such as Hadoop MapReduce, Python, JavaScript, or other big data frameworks, Java). Familiarity with basic principles of distributed computing and/or distributed databases. Demonstrable ability to quickly understand new concepts-all the way down to the theorems- and to come out with original solutions to mathematical issues. Knowledge of one or more business/functional areas. Working knowledge of diagnosis and procedure coding, medical terminology, knowledge of managed care, claims payment processes, and insurance terminology required.

Skills Requirement

Strong analysis and critical thinking skills. Strong written and verbal communication skills. Excellent interpersonal/ communication skills.

Abilities Requirement

Ability to multi-task while maintaining careful attention-to-detail. Ability to handle multiple projects, data input, and strong problem-solving capability. 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. Ability to build relationships and influence across the organization.

Commitment to Team Culture

The IEHP Team environment requires a Team Member to participate in the IEHP Team Culture. A Team Member demonstrates support of the Culture by developing professional and effective working relationships that include elements of respect and cooperation with Team Members, Members and associates outside of our organization.

Working Conditions

Word processing involving computer keyboard and screens. Willingness to be on-call occasionally to attend to technical issues outside of normal business hours.

Work Model Location

Physical Requirements

Keyboarding: Traditional - FREQUENTLY

Keyboarding: Other - FREQUENTLY

Use of computer mouse - FREQUENTLY

Hearing: One-on-One - FREQUENTLY

Communicate: Verbally engage with customer base - FREQUENTLY

Side to side motion of the wrist - FREQUENTLY

Up and down flexion of wrist - FREQUENTLY

Communicate: Information/ideas verbally - FREQUENTLY

Alternate Sit/Stand or Walk at Will - FREQUENTLY

Near Visual Acuity - FREQUENTLY

Develop and maintain positive work relationships - FREQUENTLY

Sitting - CONSTANTLY

Indoors - FREQUENTLY

Lighting - CONSTANTLY

Regular contacts: co-workers, supervisor - FREQUENTLY

Problem Solving - FREQUENTLY

Memory - FREQUENTLY

Understand and follow direction - FREQUENTLY

Regular and reliable attendance - CONSTANTLY

Starting Salary: $134,804.80 - $171,870.40

Pay rate will commensurate with experience
United States

Salary Criteria