Data Scientist Jobs

About The Position

Requirements

• Bachelor's degree from an accredited college or university.
• At least 2 years of specialized experience with query languages such as SQL, programming languages such as Python, business intelligence tools such as Power BI, and analytics platforms such as Databricks.
• At least 1 year of specialized experience equivalent to GS-13, including organizing and analyzing large structured and unstructured data sets with analytics tools; developing and implementing data collection and analysis tools using programming languages and environments such as Python and Databricks; and using Python and analytics software to develop complex analytics, predictive modeling, and artificial intelligence solutions.
• Mastery and application of advanced data-mining and artificial intelligence principles, concepts, methods, standards, and practices to develop products and solutions and interpret and implement related policies, procedures, and governance strategies.
• Advanced experience using Python and analytics software to develop complex analytics and artificial intelligence solutions.
• Experience planning, conducting, and leading complex analytical projects.
• Experience defining problems, assessing alternatives, and recommending solutions for complex data and analysis issues.
• Extensive experience ingesting, transforming, analyzing, and visualizing large, disparate data sets.
• Ability to communicate complex business and technical information effectively, orally and in writing.
• Must be a U.S. citizen.
• Must pass drug screening and a background investigation.
• Must be able to obtain and maintain Moderate Background Investigation security clearance and a government-issued credit card.
• May be required to successfully complete a 12-month probationary period.
• Submit the required application information by 11:59 PM EST on 11/12/2026; answer all self-assessment questionnaire questions and demonstrate all evaluation-factor requirements.

Nice To Haves

• Knowledge and experience in the law enforcement and/or audit industry.
• Knowledge and experience using cloud computing platforms such as Azure.
• Knowledge and experience with relational databases and SQL.

Responsibilities

• Prepare, clean, normalize, validate, extract, manipulate, and aggregate data for varied projects and tasks, independently and as part of teams.
• Research, extract, evaluate, interpret, and visualize data and information as actionable intelligence for auditors and investigators to detect, prevent, and respond to fraud, waste, and abuse.
• Advise on potential benefits and uses of automation to improve program-operation efficiency.
• Design experiments, test hypotheses, and build scalable models using data science and artificial intelligence methods, including machine learning.
• Design, develop, and adapt mathematical, statistical, econometric, and other analytical solutions for audit, investigation, research, and support functions.
• Lead artificial intelligence activities, including natural language processing, predictive analytics, and machine learning model development, training, evaluation, testing, refinement, deployment, and maintenance.
• Translate complex technical findings into an easily understood narrative.
• Prepare documentation such as requirements, test plans, user manuals, technical diagrams, and training materials.
• Develop project communications and maintain effective working relationships among project teams, stakeholders, and management.
• Advise on project issues such as data access, quality, and storage.
• Contribute to and present training and conference materials to large audiences.
• Collect and analyze data from a variety of sources to develop trends, descriptive statistics, and other insights.
• Identify and develop information sources from structured and unstructured data, criminal intelligence databases, public information sources, internal Postal Service databases, reference manuals, and audit and law enforcement reports.
• Use relational databases, data lakes, data lakehouses, and other data environments to create analytical products such as business intelligence tools, summary tables, comparison graphs, and temporal, association, and link analysis charts.
• Interact with other agencies and build peer relationships to share information and learn about developments in analytical tools and techniques.
• Develop knowledge of database applications and environments and share expertise with coworkers in support of agency goals and objectives.

Benefits

• The agency states that federal employees and their families have access to a comprehensive benefits package; specific benefits are not enumerated in the posting.