DATA SCIENTIST

You will serve as a Data Scientist in the Business Analytics Division of NAVFAC ENGINEERING CMD MID-ATLANTIC. Major duties: You will serve as an internal authority and consultant for the Business Directorate community regarding the application of scientific and statistical standards to data evaluation and analysis. You will work within the BD51 advanced analytics team and NAVFAC program, product, and project managers to identify areas for study and viable sources of information. You will develop approaches to gather the necessary information and data regarding NAVFAC products and services delivery and then implement those approaches. You will perform continuing analysis and evaluation of business and functional requirements necessary for the gathering and reporting of BD51 metric and data analytics. You will review, identify, and develop new areas for required content in order to adequately study and establish new benchmarks. You will establish, implement, and employ data modeling and advanced statistical analysis processes to facilitate business decision making for BD51 leadership. You will work with key stakeholders to develop communications and outreach to assist in deployment of analytical products, or solicit customer input regarding the delivery of BD51 products and services. Qualifications: In addition to the Basic Requirements for this position, your resume must also demonstrate at least one year of specialized experience at or equivalent to the GS-12 grade level or pay band in the Federal service or equivalent experience in the private or public sector. Specialized experience must demonstrate the following: 1) Using qualitative and quantitative research methodologies and advanced analytical techniques to gather, analyze, and evaluate data to determine the effectiveness, efficiency, and reliability of programs, products, and services delivered; 2) Modifying and tailoring report content based on the program, product, and/or service under review and integrate user feedback for continuous process improvement; 3) Setting goals, planning studies, scheduling and coordinating work, and integrating planning efforts across work units to meet collaboration program goals within established timeframes; and 4) Communicating highly technical topics to non-technical stakeholders. Additional qualification information can be found from the following Office of Personnel Management website: https://www.opm.gov/policy-data-oversight/classification-qualifications/general-schedule-qualification-standards/#url=List-by-Occupational-Series https://www.opm.gov/policy-data-oversight/classification-qualifications/general-schedule-qualification-standards/1500/data-science-series-1560/ Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (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.