Data Scientist
Food Safety and Inspection Service
Summary Public Service Loan Forgiveness Program and Creditable Service for Annual Leave Accrual are available. This position is in the FSIS Office of Planning, Analysis and Risk Management (OPARM), which leads FSIS efforts related to data analysis and advanced analytics. Learn more about this agency Duties Help
- Analyze, interpret, review, and ensure integrity of data.
- Collaborate with subject matter experts and team members.
- Conduct trend analysis.
- Develop algorithms.
- Develop analytical methods used in decision-making process.
- Document data science requirements.
- Generate business metrics.
- Interpret data science requirements.
- Make strategic recommendations.
- Perform computer programming and data cleaning.
- Present recommendations to management based on current analytics.
- Provide recommendations for process improvements.
- Utilize diverse analytical approaches.
- 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. Refer to the Next Steps section for more information.
- Direct Deposit: Per Public Law 104-134 all Federal employees are required to have federal payments made by direct deposit to their financial institution.
- Successfully pass the E-Verify employment verification check. To learn more about E-Verify, including your rights and responsibilities, visit
- False statements or responses on a resume or application can jeopardize employment and may be grounds for disciplinary action, including removal from Federal service.
- If you are selected, you may need to complete a Declaration for Federal Employment (OF-306) prior to being appointed to determine suitability for Federal employment and to authorize a background investigation.
- Writing computer programs and algorithms using software/programming languages such as, but not limited to Python, R, SAS, and SQL.
- Cleaning/transforming data to address issues such as missing values, outliers, duplicates, functional dependencies, etc.
- Independently extracting and transforming data from relational databases using Python, R, SAS, or SQL. You must show specific examples of your experience and describe the systems you have utilized.
- Reviewing software coding for accuracy. Your resume should show specific examples of using Python, R, SAS, or SQL.
- Developing visualizations that combine data from multiple sources using tools such as Python, R, Qlik, Tableau, or Power BI.
- Writing computer programs and algorithms using software/programming languages such as, but not limited to Python, R, SAS, and SQL.
- Cleaning/transforming data to address issues such as missing values, outliers, duplicates, functional dependencies, etc.
- Independently extracting and transforming data from relational databases using Python, R, SAS, or SQL. You must show specific examples of your experience and describe the systems you have utilized.
- Reviewing software coding for accuracy. Your resume should show specific examples of using Python, R, SAS, or SQL.
- Developing visualizations that combine data from multiple sources using tools such as Python, R, Qlik, Tableau, or Power BI.
- Designing and implementing plans to accomplish analytic or computer programming projects.
- Leading data analysis projects to capture and implement data requirements and business rules.
Vacancy posted 2 days ago
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