Principal Data Scientist (CMS) at General Dynamics Information Technology

Anykščiai, Utena County, Lithuania -

Full Time

Start Date

Immediate

Expiry Date

20 Mar, 26

Salary

161000.0

Posted On

20 Dec, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, Data Science, Machine Learning, SQL, Python, Tableau, SAS, Healthcare Data, Analytic Skills, Critical Thinking, Problem Solving, Data Collection, Data Interpretation, Model Development, Reporting, Collaboration

Industry

IT Services and IT Consulting

Description

Type of Requisition: Regular Clearance Level Must Currently Possess: None Clearance Level Must Be Able to Obtain: None Public Trust/Other Required: NACI (T1) Job Family: Data Science and Data Engineering Job Qualifications: Skills: Data Analysis, Data Science, Machine Learning (ML) Certifications: None Experience: 8 + years of related experience US Citizenship Required: No Job Description: At GDIT, people are our differentiator. As a Principal Data Scientist you will help ensure today is safe and tomorrow is smarter. Our work depends on a Principal Data Scientist joining our team to support the Centers for Medicare & Medicaid Services (CMS) mission to conduct oversight, monitoring, and audits of the Medicare Drug Price Negotiation Program. Responsibilities: Performs data analysis, interpretation, and reporting duties. Develops rules and methodologies for data collection and analysis. Works with a team to conduct analysis and present findings to our team and customer. Collaborate with leadership and team members to identify and create solutions to complex challenges. Use critical thinking and exploratory research to understand program rules and how data can provide insights to inform decision making. Incorporate business and technical processes in designing workflows across multiple applications to support program efficiency and compliance. Utilize analytic skills including ability to efficiently work with and integrate large datasets to uncover patterns and trends that are meaningful to program oversight and action. Required Skills: Masters Degree and at least 8 years of related experience using technology to conduct analysis, develop models, and report findings. Must have experience conducting in depth analysis of healthcare data, including prescription drug claims. Experience using SQL, Python, Tableau, SAS or similar analytic and reporting tools. Desired Skills: Excellent communication and problem-solving skills The likely salary range for this position is $119,000 - $161,000. 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. Scheduled Weekly Hours: 40 Travel Required: Less than 10% Telecommuting Options: Remote Work Location: Any Location / Remote Additional Work Locations: Total Rewards at GDIT: Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. GDIT typically provides new employees with 15 days of paid leave per calendar year to be used for vacations, personal business, and illness and an additional 10 paid holidays per year. Paid leave and paid holidays are prorated based on the employee’s date of hire. The GDIT Paid Family Leave program provides a total of up to 160 hours of paid leave in a rolling 12 month period for eligible employees. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most. 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 50 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. Join our Talent Community to stay up to date on our career opportunities and events at gdit.com/tc. Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans Join our 30,000 everyday heroes. 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. For more information about GDIT's Privacy Policy, click here: https://www.gdit.com/privacy-policy/notices/

Responsibilities

The Principal Data Scientist will perform data analysis, interpretation, and reporting duties while developing methodologies for data collection and analysis. They will collaborate with team members to identify solutions to complex challenges and present findings to stakeholders.