DATA SCIENTIST

You will ensure the continuity, reliability, security, and integrity of operation and business data.

You will design and build large complex data sets, from spurious sources thinking strategically about how uses of data and data use interact with data design.

You will develop analytical solutions using a variety of methodologies including predictive modeling, text mining, forecasting, network analytics and image processing.

You will conduct original research and make developmental contributions to create and evolve data science initiatives.

GS-11 Your resume must also demonstrate at least one year of specialized experience at or equivalent to the GS-09 grade level or pay band in the Federal service or equivalent experience in the private or public sector.

Specialized experience must demonstrate the following: EXPERIENCE IN APPLYING IN THE AREAS OF INNOVATIVE ADVANCED OPERATIONS RESEARCH, DATA SCIENCE OR COMPUTER SCIENCE SERVING AS A CONSULTANT AND TECHNICAL ADVISOR TO SENIOR SUBJECT MATTER SPECIALIST AND/OR MANAGEMENT OFFICIALS.

EXPERIENCE OF UNDERWAY REPLENISHMENT AND LOGISTICS OPERATIONS, ANALYTICAL METHODS, MATHEMATICAL STATISTICS, AND COMPUTER SCIENCE. EXPERIENCE INTERFACING WITH DATA WAREHOUSE, DATA LAKES, AND CLOUD NETWORKS AND THE USE OF SPECIALIZED SOFTWARE TO ENABLE INTERFACE WITH THE SAME.

EXPERIENCE IN THE USE OF STATISTICAL AND PROGRAMMING TOOLS SUCH AS R & PYTHON TO ANALYZE DATA ND DEVELOPE SOLUTIONS TO BUSINESS PROBLEMS AND STRONG APPLIED STATISTICS SKILLS.

GS-09 Your resume must also demonstrate at least one year of specialized experience at or equivalent to the GS-07 grade level or pay band in the Federal service or equivalent experience in the private or public sector.

Specialized experience must demonstrate the following: Experience with statistical and programming tools, such as R and Python, analyzing data and developing solutions to business problems, and strong applied statistics skills, such as distribution, statistical testing, and regression.

Experience formulating, defining, and interpreting data presentation requirements, planning approaches, and policy. Experience developing standards for analyzing, testing, or assessing emerging technology or methods.

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/1500/general-mathematics-and-statistics-series-1501star/ 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.