AI/ML Engineer SME (CMS)

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:

Agile Methodology, Collaborating, Databricks Platform, Spark

Certifications:

None

Experience:

15 + 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 Sr. 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
• Evaluate analytic solutions and business processes to recommend optimization through emerging technologies and AI/ML techniques
• Remain current on AI technologies, advancements, solutions, and optimization methods to recommend and apply continuous advancement of AI solutions
• Support multiple programs and evaluate overarching solutions, frameworks, and techniques to maximize the value of emerging technology
• Lead project teams to design, develop and deliver complex solutions that achieve strong business value timely and efficiently
• Extract qualitative and quantitative relationships, patterns, and trends from large amounts of data using various tools such as Python, R, SQL, etc.
• 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

Required Skills:

• BA in related field or equivalent combination of education and experience + at least 15 yrs related experience, or MA + 13 yrs related experience
• Experience with Medicare and/or Medicaid data
• Experience with fraud detection
• Experience using data visualization tools such as Tableau
• Experience conducting health care related research and analytics
• 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 Databricks, Snowflake or Python, etc.
• Experience working with large and disparate datasets to efficiently produce AI/ML solutions to meet business needs
• Experience proactively identifying and working collaboratively with stakeholders to resolve data anomalies, data quality, and compliance issues in administrative data
• Superior skills working with large datasets efficiently and effectively incorporating quality assurance techniques throughout the process

Desired Skills:

• Superior written and verbal skills. Must write succinctly and clearly and explain complex situations in plain English to technical and non-technical audiences
• 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
• 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

The likely salary range for this position is $182,750 - $247,250. 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

Why This Job Might Be a Good Fit

• Fully remote full-time position
• Senior data role at General Dynamics Information Technology
• Competitive salary: $183k–$247k USD
• Open to candidates in Worldwide