Data Scientist; Branch Chief

Job Summary

This position is located within the Office of Planning, Analysis, and Risk Management (OPARM). OPARM is the FSIS centralized analytics group and tasked with integrating and analyzing relational data. The program also provides data visualization and analytics services to support FSIS decision-making, policy development, risk management, and strategic planning.

Low Grade: 14

High Grade: 14

14

Data Analytics and Innovation Staff

AG/AG37

False

• fed-transition
• public

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The USDA Food Safety and Inspection Service (FSIS) is the public health regulatory agency responsible for ensuring the safety of meat, poultry and processed eggs. USDA is a great place to start or continue your career. For more information on USDA and the Food Safety and Inspection Service, visit FSIS.

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Status

• Responsible for the overall direction and accomplishment of Branch analytical assignments and functions.
• Develops, exhibits, and applies clear understanding of Branch analytical output and associated data.
• Assign work to Branch members, ensures the development of project plans with necessary and realistic milestones and deliverables.
• Assists in the development of performance standards and uses them to fairly evaluate the performance of subordinate employees.
• Holds employees accountable for accurate and timely completion of tasks.
• Identifies training needs, resolves complaints and grievances fairly at the lowest possible level.
• Utilizes a variety of languages and tools (e.g., R, Python, SQL) to build data pipelines to pull together information from different source systems.
• Coordinates with staff and members of other organizational areas to understand project requirements and facilitate improved customer service.
• Collaborates with specialists in diverse fields to fulfill operational data and analytical needs.
• Provides directions to subordinates on appropriate coding and statistical techniques to solve specific problems.

Statistics Series 1530 Basic Requirements:
Degree that included 15 semester hours in statistics (or in mathematics and statistics, provided at least 6 semester hours were in statistics), and 9 additional semester hours in one or more of the following: physical or biological sciences, medicine, education, or engineering; or in the social sciences including demography, history, economics, social welfare, geography, international relations, social or cultural anthropology, health sociology, political science, public administration, psychology, etc.

Credit toward meeting statistical course requirements should be given for courses in which 50 percent of the course content appears to be statistical methods, e.g., courses that included studies in research methods in psychology or economics such as tests and measurements or business cycles, or courses in methods of processing mass statistical data such as tabulating methods or electronic data processing.

or Combination of education and experience -- courses as shown in the paragraph above, plus appropriate experience or additional education. The experience should have included a full range of professional statistical work such as (a) sampling, (b) collecting, computing, and analyzing statistical data, and (c) applying statistical techniques such as measurement of central tendency, dispersion, skewness, sampling error, simple and multiple correlation, analysis of variance, and tests of significance.  

for more information on this series: OPM Statistics Series 1530 Computer Science Series 1550 Basic Requirements Bachelor's degree in computer science or bachelor's degree with 30 semester hours in a combination of mathematics, statistics, and computer science. At least 15 of the 30 semester hours must have included any combination of statistics and mathematics that included differential and integral calculus.

All academic degrees and course work must be from accredited or pre-accredited institutions.  for more information on this series: OPM Computer Science Series 1550 Data Science Series 1560 Basic Requirements Degree:
Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position. or Combination of education and experience:
Courses equivalent to a major field of study (30 semester hours) as shown in the paragraph above, plus additional education or appropriate experience.  for more information on this series: OPM Data Science Series 1560

Your application, including the assessment questionnaire, will be reviewed to determine if you meet the qualification requirements and to determine if your resume supports the answers provided to the job-specific…