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Data Science Specialist at United States Postal Service (Raleigh, NC)

The United States Postal Service has a great opportunity for a Data Science Specialistin our Raleigh, NCHQ office!

NOTE:  Applications and resumes are rated/ranked on how well the Requirements of the positions are addressed.  Please attach an updated resume for our team to review. 

Applications will be closed on Monday, 04 March at 11:59pm CST.


Serves as a data scientist expert setting the foundation for complex projects leveraging statistical modeling, machine learning, and data exploration to provide predictive and prescriptive results to business challenges. Has primary responsibility for the analytics for an assigned domain.


  • Resea

    rches, analyze and interpret underlying data; developing algorithms to evaluate domain data (such as customer, finance, operational) to address business questions or issues.

  • Works with CIO groups and business units to develop and document statistical and data analyses of data from various statistical programs (such as R or SAS).

  • Drives the definition of data requirements in collaboration with Analytics Engineers.

  • Collaborate with CIO groups and business units on data selection, processing, and formatting.

  • Develops and establishes scientific control mechanisms to ensure algorithms are functioning correctly.

  • Provides guidance on statistical and data services on items such as probability sampling, experimental design, and data quality.

  • Design strategies in collaboration with Analytic Engineers for the planning and development of sampling and data collection systems.

  • Develops and presents background material on procedures, concepts, policy, statistical models, results, and proposed designs.


    1. Knowledge of industry developments, business practices, and technical developments to meet business needs.

    2. Skill using statistical and business intelligence software packages such as SPSS, SAS, OLAP, SQL, VBA, or standard MS Office products at a level sufficient to identify and utilize appropriate techniques to analyze, interpret, and display complex data results.

    3. Skill writing Teradata, SQL and other common programming languages.

    4. EDUCATION REQUIREMENT: Applicants must possess a Bachelors or graduate degree in Mathematics, Statistics or related field from a college or university accredited by a national or regional accreditation organization recognized and sanctioned by the U.S. Department of Education.

    5. Knowledge of statistics, including sample design and probability sampling techniques, survey and experimental design, and measures of precision.

    6. Ability to evaluate operational performance and trends, and propose and implement service and tool improvements.

    7. Ability to communicate orally and in writing to provide feedback, technical guidance, and instruction to cross functional teams in the development of data science tools and processes.

    8. Ability to provide technical guidance related to data design, data collection, and statistical analysis.

    9. Knowledge of analytics related to customers, workforce, supply chain, finance or risk sufficient to conduct complex data analysis and modeling for the assigned domain.

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