Data Scientist

WHAT YOU'LL BE DOING DAY TO DAY As a Data Scientist, you will use your knowledge and experience to optimize business results and customer experience by: Utilizing tools such as Microsoft Power Automate; PowerBI, Tableau, Python, Structured Query Language (SQL), SAS, Oracle, machine learning methods, and other data analytics tools, as necessary.

Developing mathematical and/or statistical models for evaluation, identification, collection, and analysis of all data used to support assigned projects or program(s). Analyzing complex data elements and systems, data flows, dependencies, and relationships.

Preparing presentations, writing reports, building data visualization products, and working to communicate technical results and actionable insights to decision-makers with varying levels of analytic sophistication.

Interfacing and collaborating with staff elements, and others to refine understanding of underlying problems(s) and devise possible solutions. Expert understanding of issues and requirements of each division as well as leadership, to report/dashboard requirements and data needs

WHAT WE ARE LOOKING FOR Basic Qualifications: You must possess one of the items listed below (A or B): A. 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 B.

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.

In addition to meeting the basic requirement above, to qualify for this position you must also meet the qualification requirements listed below: Minimum Qualifications: You must have one year specialized experience to perform successfully the duties of the position.

To be creditable, specialized experience must have been equivalent to at least the GS-11 grade level in the Federal service performing ALL of the following: Applying advanced data science and analytics using tools such as Tableau, GIS, Palantir, and enterprise data platforms to support program analysis, performance measurement, and data-driven decision-making.

Developing and executing complex analytical models (statistical, mathematical, and computational) using R, Python, and SQL to extract, analyze, and interpret structured and unstructured data, identify trends, and evaluate program effectiveness.

Translating technical analyses into actionable insights by producing clear data visualizations, reports, and briefings for senior leadership and stakeholders with varying levels of technical expertise.

Providing strategic analytical guidance and collaboration by working with cross-functional teams to define requirements, ensure data integrity and governance, and align analytical products with mission and operational priorities. Documenting experience: IN DESCRIBING YOUR EXPERIENCE, PLEASE BE CLEAR AND SPECIFIC.

WE WILL NOT MAKE ASSUMPTIONS REGARDING YOUR EXPERIENCE. Qualifications are based on breadth/level of experience. In addition to describing duties performed, applicants must provide the exact dates of each period of employment (from MM/YY to MM/YY) and the number of hours worked per week if part time.

As qualification determinations cannot be made when resumes do not include the required information, failure to provide this information may result in disqualification. Applicants are encouraged to use the USAJOBS Resume Builder to develop their federal resume.

Do not copy and paste the duties, specialized experience, or occupational application questionnaire from this announcement into your resume as that will not be considered a demonstration of your qualifications for this position.

In accordance with Office of Personnel Management policy, federal employees are assumed to have gained experience by performing duties and responsibilities appropriate for their official series and grade level as described in their position description.

Experience that would not normally be part of the employee's position is creditable, however, when documented by satisfactory evidence, such as a signed memorandum from the employee's supervisor or an SF-50 or SF-52 documenting an official detail or other official assignment.

The documentation must indicate whether the duties were performed full time or, if part time, the "percentage of times" the other duties were performed. It is expected that this documentation is included in the employee's official personnel record.

In order to receive credit for experience in your resume that is not within the official series and grade level of your official position, you must provide a copy of the appropriate documentation of such experience as indicated above.

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; community; student; social).

Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates directly to gain employment. You will receive credit for all qualifying experience, including volunteer experience.

If such experience is on a part-time basis, you must provide the average number of hours worked per week as well as the beginning and ending dates of the experience so it can be fully credited. OPM Qualification General Policies Website