Sr Data Scientist (Healthcare & Medicaid)

Deloitte • Arlington, VA • 4h ago

Our Deloitte AI & Engineering team to transform technology platforms, drive innovation, and help make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

Work You'll Do

As a Project Lead Data Management Engineer II on the project, you will:

Conduct data analysis or research in one or more Medicaid and CHIP data domains to include Eligibility and Enrollment Performance Indicator data, TAF, Behavioral Health, Expenditures, 416T reports, and Health outcomes

Handle analyses around a very large dataset, identifying outliers, and utilization rate calculations across different geographies.

Perform predictive data analysis work to determine forecast utilization or enrollment seasonality.

Dive deep into data quality standards, working closely with project leadership, to identify what constitutes a 'good' dataset by considering if the data has referential integrity, if it conforms to expected values, and is comprehensive.

Present these findings and analysis in a clear format to project and client leadership.

The successful candidate would possess these skills:

Ability to work independently and collaborate as part of a team

Effective written and verbal communication skills

Meticulous attention to detail and quality of work product

Ability to build and sustain professional relationships

Ability to lead projects or workstreams

Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment

Strong interpersonal skills and professional demeanor

Ability to meet deadlines

Ability to mentor and provide clear guidance to others

The Team

Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively.

The Project Talent Model is designed for professionals with specialized skills that align to a current client need. Team members focus on delivering services to clients, without additional expectations related to business development or promotion. Their employment is tied to their role on a project, and they are eligible for a benefits package that is competitive for project-focused professionals.

Qualifications

Required:

Bachelor's degree required.

Must be able to obtain and maintain the required Public Trust clearance for this role.

8+ years of experience in data science, data analysis or data engineering functions.

5+ years of advanced Python experience for data manipulation and analysis.

5+ years of experience with Databricks for data engineering.

2+ years of experience in Medicaid/Medicare analysis, rules, and compliance.

Ability to travel 10-15%, on average, based on the work you do and the clients and industries/sectors you serve.

Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Preferred:

Advanced SQL skills.

Experience with large health care datasets including claims, enrollment, providers, and financials preferred.

Master's degree preferred.

Previous Federal Health experience preferred.

Active Public Trust clearance preferred.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.

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