Data Scientist (CMS) at General Dynamics Information Technology

Anykščiai, Utena County, Lithuania -

Full Time

Start Date

Immediate

Expiry Date

31 Jan, 26

Salary

166750.0

Posted On

02 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Analytics, Data Mining, Data Science, Statistical Analysis, Machine Learning, Python, R, SQL, Data Visualization, Fraud Detection, AI Solutions, Healthcare Research, Customer Service, Data Governance, Quality Assurance, Project Management

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: Analytics, Data Mining, Data Science, Statistical Analysis Certifications: None Experience: 5 + years of related experience US Citizenship Required: No Job Description: GDIT is under contract to the Centers for Medicare & Medicaid Services (CMS) to design, develop, engineer, implement, enhance, maintain algorithms to detect and prevent potential fraud, waste or abuse in the Medicare, Medicaid and Marketplace programs. We are currently seeking a Data Scientist Advisor to join our team. Responsibilities: Design, develop, and deploy AI models such as Generative AI solution (e.g., Large Language Models (LLMs)), Agentic AI, or AI powered tools working with large datasets and a variety of data, structured and unstructured, to create analytic insights and streamline business processes Remain current on AI technologies, advancements, solutions, and optimization methods to recommend and apply continuous advancement of AI solutions Extract qualitative and quantitative relationships, patterns, and trends from large amounts of data using various tools such as Python, R, SQL, etc. Conduct advanced research studies inclusive of policy research, analysis, and modeling and organize/summarize the information for use in supporting decision-making process Collect, manipulate, analyze, evaluate, and display data using visualization tools Perform data analysis, statistical analysis, and machine learning modeling to conduct complex studies, develop sound inferences, and summarize results using a variety of descriptive statistics Work with a variety of customers, users, and stakeholders to understand business objectives and design technical solutions to address the business needs Collaborate within project teams including other data scientists and non-technical subject matter experts to achieve high quality and impactful solutions within tight timelines Develop, write, and present detailed technical solutions to solve open-ended business problems to technical and non-technical audiences Document and present solutions, methodology, findings/outcomes, and outputs to a wide audience including leadership, technical, and non-technical resources Required Skills: BA in related field or equivalent combination of education and experience + 8 yrs related experience, or MA + 5 yrs related experience Experience with Medicare and/or Medicaid data Experience with fraud detection Experience developing and validating AI solutions such as LLMs, chatbots, content generators, deep learning, and similar modern AI technology in cloud-based platforms (AWS, Azure, etc.) Experience conducting statistical/analytical and ML modeling and analysis using SAS, Python, R or similar software Experience working with large and disparate datasets to efficiently produce AI/ML solutions to meet business needs Superior skills working with large datasets efficiently and effectively incorporating quality assurance techniques throughout the process Superior customer service skills working proactively and collaboratively with Federal research, compliance, and policy staff and stakeholders to implement and enhance internal and external management reports and public-facing data analysis tools and data sets Experience using data visualization tools such as Tableau Experience conducting health care related research and analytics Superior written and verbal skills. Must write succinctly and clearly and explain complex situations in plain English to technical and non-technical audiences Experience proactively identifying and working collaboratively with stakeholders to resolve data anomalies, data quality, and compliance issues in administrative data Superior multi-tasking and organization skills. Must manage multiple simultaneous projects and prioritize assignments and tasks, accordingly, remaining flexible to changing priorities and new initiatives Experience supporting data governance policies and supporting infrastructures spanning diverse stakeholders Experience using MS E PowerPoint for analysis and presentation of results The likely salary range for this position is $123,250 - $166,750. 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: Hybrid 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 Data Scientist will design, develop, and deploy AI models to detect and prevent fraud in Medicare, Medicaid, and Marketplace programs. They will collaborate with project teams and stakeholders to create analytic insights and streamline business processes.