The Office of Planning, Analysis, and Risk Management (OPARM) within the Food Safety and Inspection Service (FSIS) is looking to integrate and analyze relational data, provide data visualization and analytics services to support decision-making, policy development, risk management, and strategic planning.
Requirements
- Using Python or R in support of data analytics projects.
- Developing and executing approaches for analyzing, interpreting, visualizing, and verifying complex data and analyses.
- Leading projects by establishing objectives, assigning responsibilities, reviewing deliverables, and offering expert guidance on analytical programming, statistical techniques, and data visualization strategies.
- Knowledge of mathematical and statistical sciences.
- Knowledge of computer science methods and techniques to store, manipulate, transform or present information by means of computer systems.
- Experience with data science, including mathematics, statistics, computer science, or a field directly related to the position.
- Familiarity with Data Science Series 1560, Mathematical Statistics Series 1529, or Computer Science Series 1550
Responsibilities
- Perform data cleaning and visualization.
- Perform trend analysis and algorithm development.
- Develop new prescriptive analytics used in decision making.
- Present alternate solutions to analytics and future concepts.
- Develop statistical models and machine learning models.
- Analyzes outputs from analyses.
- Leads the design for data enhancement.
Other
- You must be a US Citizen or US National.
- Males born after 12/31/1959 must be Selective Service registered or exempt.
- Subject to satisfactory adjudication of background investigation and/or fingerprint check.
- Successful completion of one-year probationary period, unless previously served.
- Direct Deposit: Per Public Law 104-134 all Federal employees are required to have federal payments made by direct deposit to their financial institution.
