Data Scientist Lead

    • General Dynamics Information Technology
  • Home Office, MD
  • Posted 16 days ago | Updated 4 hours ago

Overview

On Site
USD 150,450.00 - 203,550.00 per year
Full Time

Skills

Amazon Web Services
Attention to detail
Business intelligence
Data Science
Data Analysis
Statistics
Process improvement
Computer science
Statistical models
Customer satisfaction
Medical terminology
ICD-10
Health care
Microsoft Office
Data warehouse
Problem solving
Organizational skills
Multitasking
Technical training
Professional services
Application development
Data
Leadership
Medicare
Medicaid
Fraud
Partnership
Management
Analytics
Algorithms
SAS
Python
Claims
Database
SAFE
IMPACT
Embedded systems
Planning
Research
Collaboration
Modeling
Analytical skill
Design
Presentations
Regulatory Compliance
Data mining
Software development
CPT
HCPCS
DRG
Insurance
Policies
Credit default swaps
FOCUS
Supervision
Mentorship
Microsoft Excel
Cloud computing
Snow flake schema
Communication
Apache Flex
Innovation
Artificial intelligence
Machine Learning (ML)

Job Details

At GDIT, people are our differentiator. Our work depends on a Data Scientist Manager joining our team to support Centers for Medicare and Medicaid Services anti-fraud activities. As a Data Scientist supporting the Healthcare Fraud Prevention Partnership (HFPP), you will manage a team of Data Scientists engaged in Fraud, Waste and Abuse (FWA) analytics, collaborating with FWA Subject Matter Experts and Business Intelligence Developers to develop to develop FWA models and algorithms that detect and describe actionable FWA leads for the HFPP. The Data Scientist Manager directs the Data Science team in using tools such as SAS and Python to analyze healthcare claims across Medicare, Medicaid and private payers within a multi-billion record database made up of a large partnership of public and private healthcare payers. Your Data Science team will be a part of a 15-person team supporting the Trusted Third Party fraud, waste and abuse data analytics. We are GDIT. The people supporting and securing some of the most complex government, defense, and intelligence projects across the country. We ensure today is safe and tomorrow is smarter. Our work has meaning and impact on the world around us, but also on us, and that's important. GDIT is your place. You make it your own by embracing autonomy, seizing opportunity, and being trusted to deliver your best every day. We think. We act. We deliver. There is no challenge we can't turn into opportunity.
Roles and Responsibilities
  • This position manages a team of Data Scientists, embedded within a multi-disciplinary organization of Data Scientists, Business Intelligence Analysts and FWA Subject Matter Experts. Our team is 100% remote and distributed throughout the country.
  • This position will be responsible for planning, directing and overseeing the development and execution of FWA models and algorithms in multi-payer environments by creating, reviewing, and maintaining statistical analysis plans, providing data interpretation and generating reports in support of proposed research questions.
  • The Data Scientist Manager will facilitate the Data Science team's collaboration with FWA Subject Matter Experts, Business Intelligence Developers, and clients, to develop meaningful analyses for FWA modeling results and provide predictive analytic statistical support.
  • The Data Scientist Manager selected for this position will direct the design and maintenance of automated data pipelines, in collaboration with data engineers and Business Intelligence Developers, feeding analytic outputs to a sever environment where HFPP Partners will interact with their analytic outputs.
  • The Data Scientist Manager must have a proven track record delivering outstanding presentations to clients, stakeholders, and HFPP Partners, and effectively communicate the key insights and value propositions of the TTP analytic outputs.
  • The Data Scientist Manager oversees quality review on analytic output to ensure consistency with protocol and adequacy to meet methodological objectives, and to ensure compliance with applicable access standards.
  • The Data Scientist Manager will document processes, best practices, and strategies for existing and future FWA models and algorithms on behalf of the Data Science team, optimizing business efficiencies as it relates to process improvement.
  • This team member will manage a team of 6-8 Data Scientists.
  • Master's Degree in Statistics or related field.
  • 7+ years of experience in statistical and computer-science related field(s).
  • 5+ years of experience using SAS or Python software for healthcare Fraud, Waste and Abuse datamining and statistical modeling.
  • 5+ years client relation activities, ingesting and synthesizing customer requirements and effectively communicating complex healthcare analytic outcomes to client satisfaction.
  • 5+ years successfully presenting FWA analytic outcomes to clients, stakeholders, and conferences.
  • 5+ years expertise in medical terminology and all healthcare coding systems (e.g., ICD-10, CPT, HCPCS, DRG and the like).
  • 5+ years of experience datamining for healthcare fraud, waste and abuse in large, multi-payer databases with diverse health care benefit structures and claim processing systems, including private plans (commercial insurance) as well as Federal and State public plans (Medicare and Medicaid).
  • 5+ years of experience researching, interpreting and applying payer medical (coverage) policies (e.g., LCDs, NCDs, private carrier medical policies) and common industry claim edits (e.g., NCCI).
  • Prior experience managing multi-person data analytics teams with a focus on healthcare data; strong supervisory experience leading project teams and/or mentorship ability guiding new analysts.
  • Demonstrated expertise in the complete Microsoft Office Suite including: Word, Excel, and PowerPoint (candidate may be called upon to show examples from portfolio or submit practicum assignments).
DESIRED QUALIFICATIONS
  • Experience in Amazon Web Services (AWS) cloud and/or Snowflake data warehouse environments.
  • Ability to communicate technical outcomes with a high degree of detail and precision to technical audiences, while at the same time being able to communicate those outcomes to non-technical audiences in an approachable and understandable manner.
  • Exceptional problem-solving abilities, accuracy with work, strong organizational skills, attention to detail and the ability to multi-task while meeting deadlines.
  • Excellent communication skills, both written and verbal, and especially the ability to communicate data clearly to clients.
  • Ability to work in a fast-paced, team-oriented environment with minimal supervision.
WHAT GDIT CAN OFFER YOU:
  • 401K with company match
  • Customizable health benefits packages
  • Internal mobility team dedicated to helping you own your career
  • Challenging work that makes a real impact on the world around you
  • Full-flex work week
#GDITHealth#GDITHealthSystems

Work Requirements

.cls-1{fill:none;stroke:#5b6670;stroke-miterlimit:10;stroke-width:2px}
Years of Experience
7 + years of related experience

* may vary based on technical training, certification(s), or degree

.cls-2{fill:none;stroke:#5b6670;stroke-miterlimit:10;stroke-width:2px}
Certification

Travel Required
Less than 10%

Salary and Benefit Information
The likely salary range for this position is $150,450 - $203,550. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.
View information about benefits and our total rewards program.
About Our Work

We are GDIT. A global technology and professional services company that delivers consulting, technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 30 countries worldwide, offering leading capabilities in digital modernization, AI/ML, Cloud, Cyber and application development. Together with our clients, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology.

GDIT is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status, or any other protected class.