AI/ML Data Analyst

Responsibilities for this Position

Location: Any Location / Remote
Full Part/Time: Full time
Job Req: RQ203548


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 Analysis

Job Qualifications:

Skills:
Artificial Intelligence (AI), Data Analysis, Veterans Affairs
Certifications:
None
Experience:
2 + years of related experience
US Citizenship Required:
No

Job Description:

Join GDIT and be part of the Unified Claims Acceleration Platform (UCAP) solution, where your work accelerates claims processing for the Department of Veterans Affairs (VA), our Veteran-first vision to transform the Veterans Benefits Administration (VBA) into a paperless, AI-enabled organization. Together, we're building a future of fast, transparent claims, empowered teams, and a zero backlog, directly supporting Veterans and making a real impact on the lives of those who served.

As part of the Unified Claims Acceleration Platform (UCAP) team, the Data Analyst will serve as the connective tissue between mission needs, raw data sources, and AI/ML pipelines. This role blends analytical thinking, VA business domain expertise, and hands-on data exploration to help define what data is used, how it's shaped, and where it's delivered for downstream use in intelligent workflows. Working closely with data engineers and scientists, this analyst plays a foundational role in ensuring the success of automation and GenAI solutions.

Key Responsibilities:

• Partner with VA stakeholders, data scientists, and engineers to understand data requirements for AI use cases, including veteran claims, medical records, and service histories

• Identify, assess, and prioritize source data sets-whether structured or unstructured-based on quality, completeness, and relevance to targeted outcomes

• Define and document business logic for filtering, transforming, and enriching data sets to support ML training and inference

• Support data mapping, profiling, and lineage documentation to guide the development of ETL pipelines and ensure semantic accuracy

• Collaborate with engineers to validate outputs of data pipelines and troubleshoot anomalies in structured and semi-structured formats

• Perform hands-on exploratory analysis to uncover trends and business insights that inform AI/ML model development

• Help translate policy and regulatory constraints (e.g., PII/PHI, veteran eligibility criteria) into data handling rules

Required Qualifications:

• Bachelor's degree in Information Systems, Data Analytics, Public Policy, or a related field

• 2+ years of experience in data analysis, business analysis, or data-centric product support roles

• Strong understanding of VA/VBA mission areas, especially disability claims processing, medical records, or veteran-facing benefits systems

• Hands-on experience working with data in SQL, Excel, and Python (basic proficiency)

• Proven ability to read and interpret data schemas and structures in relational and/or document-based databases

• Excellent collaboration skills with engineering, science, and business teams in an Agile environment

• Ability to obtain and maintain a Position of Trust and pass a government background screening

Preferred Qualifications:

• Experience supporting AI/ML or GenAI initiatives, especially around training data preparation or model interpretability

• Familiarity with AWS data services (e.g., S3, Glue, Redshift, Athena) and basic data pipeline concepts

• Prior experience working with federal health or benefits data, ideally at the VA

The likely salary range for this position is $69,264 - $80,500. 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:
None

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.

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Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

PI275706575