The Department of Transportation (DOT) Office of the Inspector General is searching for a Supervisory Data Scientist for the Data Analytics & Computer Crimes Unit, according to a job posting on USAJobs.gov.
The DOT OIG works to promote efficiency and effectiveness, and prevent or stop waste, fraud, and abuse in departmental programs. OIG also consults with Congress about programs in progress and proposed new laws and regulations.
According to the posting, responsibilities for the Supervisory Data Scientist include:
- Leads projects using advanced analytics techniques such as machine learning, natural language processing, robotic process automation, and artificial intelligence, to include the research, design, development, deployment, and enhancement of enterprise-wide analytics solutions.
- Provides advice, guidance, and support to junior staff on advanced analytics, data access, data quality, data governance and storage, and related areas.
- Identifies key deficiencies in project requirements and/or proposed approaches or data access issues which are significant to the design, execution, and reporting out of advanced analytics projects.
- Uses expert-level knowledge to utilize common data science tools, including scripted languages (such as R, Python, SQL, and JavaScript), Integrated Development Environment and analytics platforms, open-source solutions, commercial off-the-shelf tools and hardware-based capabilities.
- Independently designs and develops new data requirements and approaches to knowledge discovery to solve known business problems and/or demonstrate patterns, trends, relationships and anomalies of particular interest or concern.
- Develops and maintains effective working relationships with staff at the OIG and other agencies in order to share information and learn the latest developments in analytical tools and techniques to efficiently assist the OIG with mission-related work.
- Acts as a subject matter expert for data analytics as it pertains to both predictive and prescriptive analysis and ensure alignment with industry best practices.
- Foster and support increased use of data, data analysis, and data-driven decision-making throughout OIG.
