Data Scientist (Direct Hire)
What you'd do
This position is located in the Railroad Retirement Board's Bureau of Information Services. The incumbent will be responsible for designing, developing and deploying advanced analytical solutions and Artificial Intelligence (AI) enabled solutions that directly support the RRB's mission. This job announcement may be used to fill one or more vacancies. This is a bargaining unit position. This position is represented by the Council of AFGE Locals in the Board.
Major duties
As a Data Scientist (Direct Hire), you will: Serve as the agency's technical authority on data science methodologies and advanced analytical techniques. Design and implement data quality frameworks, validation protocols, and governance standards for enterprise datasets. Analyze complex datasets to identify trends, anomalies, and patterns of strategic significance. Design and implement automated anomaly detection systems to identify irregularities in agency data that may indicate fraud, processing errors, or operational inefficiencies. Serve as the agency's recognized subject matter expert on data science, providing technical guidance to IT staff, data teams, and business stakeholders.
What you need to qualify
Basic Education 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 above, plus additional education or appropriate experience. TRANSCRIPTS are required to verify satisfactory completion of the educational requirement listed above. Failure to submit a copy of your transcripts at the time of application WILL result in an ineligible rating. Please see "Required Documents" section below for what documentation is required at the time of application. In addition to meeting the Basic Requirements listed above, applicants must meet the minimum qualifications as defined below. Minimum Qualifications for GS-13 level: One year of specialized experience equivalent to the GS-12 grade level in the Federal service. Specialized experience is defined as: Experience with designing, developing, testing, validating, and deploying machine learning models, algorithms, and predictive analytics solutions. Experience designing and implementing data quality frameworks, validation protocols, and governance standards. Experience designing and implementing automated anomaly detection systems to identify data irregularities. 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. Only experience and education obtained by the closing date of this announcement will be considered. 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 or specialized experience from this announcement into your resume as that will not be considered a demonstration of your qualifications for this position.
Before you apply
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