Data Scientist

Summary

This position serves as a Data Scientist assigned to any DOL agency organization at the national/headquarters office or equivalent organizational level. The Data Scientist is responsible for utilizing scientific methodologies, processes and algorithms to extract insights from structured and unstructured data to provide guidance for data informed decision making in support of agency goals and objectives.

This position is Inside the bargaining unit.

Learn more about this agency

Help Duties

• Performs a full range of activities on assigned projects, with a focus on work involving data manipulations and data mining on information present in the data. Obtains, processes and mines complex data for patterns, web scraping, and clusters in support of agency goals and objectives. Supports the implementation of maintenance of business intelligence and analysis solutions by identifying and gathering data needed; processing and transforming data into needed formats; developing processes for analysis; applying various tools and techniques to produce findings and insights from structured and unstructured data; and communicating the data and analytic results across the organization.
• Participates in designing, implementing, and evaluating analytical applications, projects, and studies, ranging from simple to very complex, applying a combination of analytical skills including but not limited to descriptive analysis, computational methods, natural language processing (NLP), and machine learning (ML) methods.
• Utilizes open-source languages such as R or Python to manage data, assess fitness for analysis, and prepare for and apply quantitative techniques (e.g., descriptive analysis, sampling, correlation, regression, and prediction) using both traditional inferential statistics and their machine learning analogs.
• Uses analytic tools to combine, analyze, and interpret complex datasets of varying sizes to perform exploratory analyses and develop data-informed organizational solutions. Performs optimal and appropriate analysis on large and very large data sets. Prepares reports on in-depth data analyses using machine learning, statistics, and data visualization skills. Presents and distributes findings appropriately.
• Conducts research and statistical analysis on available data and presents findings in the most relevant format, including text, graphs, charts, tables, and models.
• Provides advice and guidance for leadership and program officials to define data requirements for structured and unstructured data sources to better deliver integrated data to use in a variety of analytical software tools, including but not limited to statistical analysis, geospatial software, visualizations software, and natural language processing software.

Help Requirements

Conditions of Employment

• Must be at least 16 years old and a U.S. Citizen.
• Candidate required to obtain the necessary security/investigation level.
• Requires a probationary period if the requirement has not been met.

Qualifications

You must meet the Basic Requirements listed in the Education Requirements section and the Specialized Experience to qualify for Data Scientist, as described below.

The Data Science Series, GS-1560, has specific basic requirements described in an Individual Occupational Requirement (IOR). Applicants must meet the below basic education requirement as well as the additional requirements indicated below.

Basic Requirements (IOR):

• 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.

NOTE: You must submit academic transcripts demonstrating that you meet the qualifying educational requirements listed above. You must supply transcripts from each academic institution in which the required courses were taken in order to receive credit for that course work. If you do not submit sufficient academic documentation necessary to demonstrate that you meet the Basic Requirement described above, your application will be deemed incomplete and you will be ineligible for further consideration for this vacancy.

In addition to the above Basic Requirement (IOR), one must also have the specialized experience.

Specialized Experience is the experience that equipped the applicant with the particular knowledge, skills, and abilities (KSA's) to perform the duties of the position successfully, and that is typically in or related to the position to be filled. To be creditable, specialized experience must have been equivalent to at least the next lower grade level.

Applicants must have one year of specialized experience equivalent to at least the next lower grade level, GS-12. Applicants must have All of the statements below. Specialized experience is defined as:

• Applying advanced operations research and data science techniques for quantitative analysis, statistical analysis, forecasting, predictive modeling, prescriptive analysis, and optimization.
• Identifying, creating, and employing the appropriate statistical, algorithmic, mining, forecasting, predictive, and visualization techniques.

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.

IN DESCRIBING YOUR EXPERIENCE, PLEASE BE CLEAR AND SPECIFIC, WE WILL NOT MAKE ASSUMPTIONS REGARDING YOUR EXPERIENCE; otherwise, your application may be considered incomplete or not qualified. Assumptions will not be made based on job titles alone.

Effective December 17, 2022, applicants will no longer have the ability to submit supporting documents via FAX. Applicants will continue to submit supporting documents with the more commonly used methods below:

• Transfer from USAJobs
• Upload directly from a computer
• Submit a picture from a mobile device

If you are unable to use any of the methods listed above, please reach out to the HR Specialist shown in the contact information section of the vacancy.

Education

Any applicant falsely claiming an academic degree from an accredited school will be subject to actions ranging from disqualification from federal employment to removal from federal service.

If your education was completed at a foreign college or university, you must show comparability to education received in accredited educational institutions in the United States and comparability to applicable minimum coursework requirements for this position. Click Evaluation of Foreign Education for more information.

Additional information

This position is inside the bargaining unit. If the duty location is within the Washington, D.C. metropolitan area, the position will be included in the Local 12, AFGE bargaining unit. If the duty location is outside the Washington, D.C. metropolitan area, the position will be included in the NCFLL bargaining unit.

Persons who are deaf, hard of hearing, blind, or have speech disabilities, please dial 711 to access telecommunications relay services.

The mission of the Department of Labor (DOL) is to protect the welfare of workers and job seekers, improve working conditions, expand high-quality employment opportunities, and assure work-related benefits and rights for all workers. As such, the Department is committed to fostering a workplace and workforce that promote equal employment opportunity, reflects the diversity of the people we seek to serve, and models a culture of respect, equity, inclusion, and accessibility where every employee feels heard, supported, and empowered.

Refer to these links for more information: GENERAL INFORMATION, REASONABLE ACCOMMODATION, ADDITIONAL DOCUMENTATION, FORMER FEDERAL EMPLOYEES

Applicants must meet the eligibility requirements of time-in-grade (52 weeks at the next lower grade), time-after-competitive-appointment (90 days), and minimum qualifications (52 weeks equivalent to the next lower grade in federal service). These requirements must be met within 30 days of 06/02/2023, the announcement closing date.

Please Note: Your SF-50 must include enough information to be able to determine that time-in-grade requirements have been met and reflect your position title, pay plan/series/grade, tenure, and the type of appointment (i.e. competitive/excepted). In some cases, you may need to submit more than one SF-50.

Full Promotion Potential (if applicable): This position is at the Full-Performance Level (FPL).

Telework (if applicable): Position Telework eligibility is determined by management based on position duties during the recruitment process. Employee participation in telework on a routine or situational basis is determined by management primarily based on business needs. Employees participating in telework are subject to the terms and conditions of the Department of Labor's Telework Program.

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• Help 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.

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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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