Senior Data Scientist

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

Duties

• •Perform data cleaning and visualization, trend analysis, and algorithm development.
• •Develop new prescriptive analytics used in decision making.
• •Present alternate solutions to analytics and future concepts.
• •Develop statistical and machine learning models.
• •Interpret policy and regulatory requirements.
• •Develops recommendations for data collection activities and data integration.
• •Develops usage and control policies.
• •Communicates in writing to internal and external individuals.
• •Analyzes outputs from analyses.
• •Leads the design for data enhancement.
• •Provides education on new approaches to data anlysis.

Qualifications

Applicants must meet all qualifications and eligibility requirements by the closing date of the announcement including specialized experience and/or education, as defined below. For the GS-14 grade level: Applicants must have one year of specialized experience (equivalent to the GS-13 grade level) that demonstrates: 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. Developing oral and written presentations communicating complex and technical analyses to inform, influence, and persuade a variety of audiences. Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community, student, social). Volunteer work helps build critical competencies and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.

Education

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 paragraph A above, plus additional education or appropriate experience. Click here for more information on this series: OPM Data Science Series 1560