Hybrid Data Scientist Data Scientist with verification

SummaryThis position is in Human Resources Solutions (HRS), Federal Staffing Center (FSC), Talent Acquisition Analytics Group (TAAG). This individual in this position serves as TAAG's senior technical expert and advisor in the areas of advanced data analytics, data science, and machine learning. Human Resources Solutions has many job openings at various levels and locations. View them here: https://www.usajobs.gov/Search/Results?mco=OPM-HRS DutiesDuties: - Serves as TAAG's senior technical advisor for advanced data analytics, data science, and machine learning to strengthen the technical capacity of HRS. - Uses programming languages (e.g., Python, R) to conduct complex analyses and develop machine learning models. - Leads complex analyses, including developing analysis plans, modelling data, conducting analyses, and communicating results, to answer business and research questions of OPM and customer agencies. - Develops and deploys machine learning applications that find patterns in large volumes of data to improve the efficiency and effectiveness of Federal human resources processes. - Transforms structured and unstructured data using advanced scientific, mathematical, and statistical principles and theories (e.g., Natural Language Processing) to develop data sets for advanced analytical purposes. - Develops and maintains analytics product project plans to clearly communicate project goals, costs, and constraints. - Establishes analytics team processes and standards to ensure models, applications, and code meet quality standards (e.g., data accuracy, computing costs, transparency, equity, and processing speed). - Reviews the work of other data scientists and analysts to ensure technical standards are met. - Identifies technical requirements for advanced analytics information technology systems to support the development of tools and environments for advanced analytical work. - Represents TAAG at OPM and interagency workgroups and project teams to support government-wide analytics efforts. RequiremenntsMust be a U.S. Citizen or National Males born after 12-31-59 must be registered for Selective Service Suitable for Federal employment, determined by a background investigation May be required to successfully complete a probationary period This position is eligible for inclusion in the bargaining unit. if the duty station is finalized in the Washington, DC metropolitan area, employees in this position will be represented by the American Federation of Government Employees (AFGE) Local 32. (BU Code - 2286) if the duty station is finalized outside of the Washington, DC metropolitan area, this position will not be represented by a bargaining unit. (BU Code - 7777) QualificationsApplicants must demonstrate that they meet the Basic Requirements AND Specialized Experience requirements as noted below. Basic Requirements 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. For the GS14: You must have one full year (52 weeks) of specialized experience that is at least equivalent in difficulty and complexity to work performed at the GS-13 grade level. Specialized experience for this position must have included all the following: - Using programming languages (e.g., Python, R) and data science tools (e.g., Databricks) to conduct advanced research or analysis projects; - Developing advanced analytics models (e.g., artificial intelligence, machine learning, or statistical) using real-world data to improve the efficiency or effectiveness of a process; AND - Leading analytics projects including developing project plans and reviewing the work of team members to ensure the successful completion of projects Merit promotion applicants must meet time-in-grade requirement as defined in 5 CFR 300, Subpart F. One year at the GS-13 level is required to meet the time-in-grade requirements for the GS 14 level. You must meet all qualification and eligibility requirements within 30 days of the closing date of this announcement. 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.At OPM, we are champions of talent for the Federal Government. We lead Federal agencies in workforce policies, programs, and benefits in service to the American people. We will create a new vision of work, together, positioning the Federal Government as a model employer for past and present employees through innovation, inclusivity, and leadership. We will build a rewarding culture that empowers the workforce to solve some of our nation's toughest challenges. For information on OPM's goals and objectives, please refer to our Strategic Plan.