Senior Data Scientist

Food Safety and Inspection Service

• $110K — $130K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in data analytics using Python or R.
  • Proven track record in developing and executing data analysis projects.
  • Leadership experience in managing analytics projects and teams.
  • Strong skills in presenting complex technical findings to diverse audiences.
  • Degree in mathematics, statistics, computer science, or data science.

Responsibilities

  • Perform data cleaning and visualization to aid decision-making.
  • Develop new prescriptive analytics for improved outcomes.
  • Present alternative solutions and future concepts to stakeholders.
  • Create statistical and machine learning models for data analysis.
  • Interpret regulatory requirements and develop relevant recommendations.
  • Lead design initiatives for data enhancement methodologies.
  • Educate team members on innovative approaches to data analysis.

Benefits

  • Comprehensive benefits package including health, dental, and vision insurance.
  • Access to retirement savings plans and federal employee retirement system.
  • Opportunities for paid leave and flexible work schedules.
  • Professional development resources and training programs available.
  • Eligibility for various federal employee assistance programs.
Full Job Description
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

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  • 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.


Requirements

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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

Additional information

Career Transition Assistance Plan (CTAP), Reemployment Priority List (RPL), or Interagency Career Transition Assistance Plan (ICTAP): Visit the OPM website for information on how to apply as a CTAP, RPL, or ICTAP eligible. To exercise selection priority for this vacancy, CTAP/RPL/ICTAP candidates must meet the basic eligibility requirements and all selective factors. CTAP/ICTAP candidates must be rated and determined to be well qualified (or above) based on an evaluation of the competencies listed in the How You Will Be Evaluated section. When assessed through a score-based category rating method, CTAP/ICTAP applicants must receive a rating of at least 85 out of a possible 100.

Candidates should be committed to improving the efficiency of the Federal government, passionate about the ideals of our American republic, and committed to upholding the rule of law and the United States Constitution.

Benefits

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A career with the U.S. government provides employees with a comprehensive benefits package. As a federal employee, you and your family will have access to a range of benefits that are designed to make your federal career very rewarding. Opens in a new windowLearn more about federal benefits.

Review our benefits

Eligibility for benefits depends on the type of position you hold and whether your position is full-time, part-time or intermittent. Contact the hiring agency for more information on the specific benefits offered.

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