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USAJOBS · 3 days ago

Supervisory Data Scientist

Washington, District of Columbia, USA

Full-time

Onsite

Mid, Senior Level

$144K/yr - $187K/yr

1+ years exp

The Office of Inspector General (OIG) works within the U.S. Department of Transportation (DOT) to promote efficiency and effectiveness, and prevent or stop waste, fraud, and abuse in departmental programs. The Supervisory Data Scientist will lead a team of data experts, guiding projects that support investigations and audits while ensuring data-driven decision-making across the agency.

ConsultingGovernmentHuman ResourcesInformation TechnologyInternetStaffing Agency

No H1B

Security Clearance Required

U.S. Citizen Only

Responsibilities

Supervise data scientists and statisticians, handling administrative duties like hiring recommendations, work assignments, performance evaluations, and leave approvals

Ensure research products are technically accurate, timely, and aligned with organizational priorities

Set performance plans, conduct appraisals, and support team development through coaching and training

Balance workload, set priorities, and adjust assignments as needed

Lead project planning and execution for advanced data science initiatives, monitor progress, identify risks, and ensure successful delivery

Serve as the primary supervisory and technical point of contact for customers regarding analytics capabilities, project scope, and deliverables

Simplify complex analytical concepts for senior leaders and other stakeholders

Brief management and customers on project status and findings

Prepare and review analytic reports and visualizations

Lead the team in applying data analytics techniques to solve oversight and investigative problems

Develop high-quality data visualizations and dashboarding tools utilizing RShiny and Python

Evaluate and recommend emerging analytics tools and methods, particularly in AI, for strategic mission value

Address complex analytical problems with expert solutions

Review and approve analytical methodologies and products

Mentor staff in novel approaches and software production

Ensure compliance with laws, regulations, policies, and standards related to data privacy, security, and ethical use

Implement data governance policies and approve data access requests and analytical methods

Identify and mitigate data management risks

Contribute to internal procedure development for analytics and data handling

Collaborate with CIGIE and external partners on shared analytics projects and working groups

Represent the organization in interagency forums on data analytics, innovation, and oversight modernization

Translate complex analytical concepts for senior leaders and stakeholders in clear, mission-relevant language

Qualification

Data ScienceMachine LearningStatistical ModelingData VisualizationRPythonProject ManagementStakeholder CommunicationData GovernanceTeam Leadership

Required

U.S. Citizen

Random drug testing is required

You must meet the specialized experience to qualify

Successful completion of a background security investigation

Required documents must be submitted by the closing date

Submit application and resume online by 11:59 PM EST on the closing date

Candidates must have one (1) year of specialized experience at least equivalent to the GS-13 grade level in the federal service

Leading data science projects to detect fraud, waste, abuse, or safety risks, and applying machine learning, statistical modeling, and data mining for audits and investigations

Managing large datasets for analysis and consulting with auditors and investigators to define data needs and retrieve information

Creating dashboards and visualizations with R or Python for monitoring and analytics, overseeing data projects, including planning and team coordination

Developing project plans, tracking progress, and translating complex data results for non-technical audiences

Briefing senior leadership on the status and outcomes of analytical initiatives

Workforce Management: Effectively plans, develops, and deploys people and resources to achieve agency goals

Stakeholder Communication: Clearly conveys and exchanges information with stakeholders to support alignment and informed decision-making

Applied Research / Technical Competence: Applies technical knowledge and research methods to solve problems and inform practical solutions related to data analytics

Data Security / Governance: Ensures responsible, secure, and compliant management of data throughout its lifecycle

Strategic Collaboration: Partners across teams or organizations to align efforts and achieve shared strategic objectives

Degree: Mathematics, statistics, computer science, data science or field directly related to the position (we will accept social and natural science degrees with statistical components such as sociology, criminology, political science, biology, chemistry, engineering, physics, immunology, genetics, ecology, etc.). The degree must be, at minimum, attained at the baccalaureate level

Combination of education and experience: Courses equivalent to a major field of study (30 semester hours) as shown in paragraph A above, plus additional education or appropriate experience