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New Year, New Job! Passionate about statistics and data science? Join the Food Safety & Inspection Service–the public health agency within USDA–as a Supervisory Statistician and help lead a staff of data scientists and analysts to help protect public health. Virtual and telework eligible. Location negotiable upon selection. Direct Hire Authority will be used. One opening. Salary: $111,521 – $176,300. Closes 01/12/2022 or after 60 applications have been received, whichever occurs first.
Agency contact information: Amanda Smith
- Assign work to employees and hold them accountable for performance plan objectives.
- Evaluate and provide guidance for employee deliverables.
- Maintain awareness of the status of all individual staff assignments and communicate them to leadership.
- Formulate and recommend solutions to mitigate issues and prevent delays to branch analytical deliverables.
- Collaborate with Supervisory Statisticians, Directors, and other Agency program area staff to plan and meet mission goals.
How You Will Be Evaluated
You will be evaluated for this job based on how well you meet the qualifications listed in the announcement. You will be evaluated for this job based on how well you meet the qualifications above.
The Office of Personnel Management (OPM) has granted Direct Hire Authority for several STEM positions governmentwide, including the 1530 job series at grades 11-15. OPM has determined that there is either a severe shortage of candidates or a critical hiring need.
Due to the Direct-Hire Authority (DHA), applicants are not rated and ranked numerically, and Veteran’s preference does not apply. Applicants are strongly encouraged to provide complete information about their job-related experience and education. Your transcripts and resume must document that you meet the Education and Specialized Experience requirements detailed in the Qualifications section above. Applicants who meet the minimum qualification requirements established for the position will be placed in the Eligible category.
Although Veteran’s preference does not apply due to the existence of the DHA for this position, applicants are still encouraged to provide documentation related to veteran’s preference.
You will be evaluated based on your qualifications for this position as evidenced by the education, experience, and training you described in your application package, as well as the responses to the Occupational Questionnaire to determine the degree to which you possess the knowledge, skills, abilities and competencies listed below:
- Oral Communication
- Problem Solving
- Interpersonal Skills
- Planning and Evaluating
- Analytical Programming
- Manages Human Resources
Your application, including the online Assessment Questionnaire, will be reviewed to determine if you meet (a) minimum qualification requirements and (b) the resume supports the answers provided to the job-specific questions. Your resume must clearly support your responses to all the questions addressing experience and education relevant to this position.
Note: If, after reviewing your resume and/or supporting documentation, a determination is made that you have inflated your qualifications and or experience, your score may be adjusted to more accurately reflect your abilities, or you may be found ineligible. Please follow all instructions carefully. Errors or omissions may affect your rating. Providing inaccurate information on Federal documents could be grounds for non-selection or disciplinary action up to including removal from the Federal service.
- Using statistical software packages and/or database software to extract, manipulate, and integrate information from relational databases.
- Setting priorities, preparing schedules, evaluating work products, and providing technical advice and guidance on items such as analytical coding or methodologies, statistical analysis, and visualization development.
- Developing and executing approaches for analyzing, interpreting, visualizing, and verifying complex data and analyses. Examples of complex data and analyses include but are not limited to data wrangling, dynamic macro programming, big data visualization, dynamic parameter dashboards, sample allocation optimization, cluster analysis, causal analysis, multivariate regression, and random forests.
- Developing oral and written presentations and communicating complex and technical analyses to inform, influence, and persuade a variety of audiences.Examples of complex and technical analysis include but are not limited to stratified sampling design, survival analysis, policy effectiveness studies, machine learning techniques and outcomes, logistic regression, Bayesian statistical modeling, and randomized controlled trials.
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, knowledge, and skills and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.
You must submit a copy of ALL transcripts (including undergraduate; not only the most recent transcripts) to validate that you meet at least one of the basic education requirements.
Individual Occupational Requirements (Statistics Series, 1530)
A. 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.
B. Combination of education and experience — courses as shown in A 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.
How to Apply
Equal Employment Opportunity Policy
The United States Government does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factor.