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Data Scientist - Statistics, Early Career

Company: PNNL
Location: Richland
Posted on: August 28, 2020

Job Description:


  • *Organization and Job ID**


    Job ID: 310918

    Directorate: National Security Directorate

    Division: Computing & Analytics

    Group: Applied Statistics & Computational Modeling



    • *Job Description**


      This position is for a Scientist in Data Science and Applied or Mathematical Statistics who will provide scientific and technical research within the National Security Directorate (NSD) supporting the data analytics capabilities of the Computational Analytics Division. The Scientist will develop and apply fundamental mathematical or statistical theory to advance analytic solutions in various scientific domains. The Scientist must be able to draw from a strong statistical background, in areas including experimental design, advanced statistical modeling (e.g. mixed linear models, nonparametric models, etc.), machine learning, and computer simulations, to recognize patterns, characterize uncertainty, and develop predictive models using structured and unstructured data. The Scientist will produce solutions driven by domain science and mathematical statistical science from complex and high-dimensional datasets and design, develop, and evaluate advanced algorithms that lead to optimal value extraction from data. In addition to technical research this position expects participation and career development in task management, proposal writing, business development, and publishing.

      Operating on the data-information-knowledge continuum, staff at PNNL employ diverse methods to confront significant problems of national interest from distilling distributed data into knowledge that supports decision processes to enabling resilient technologies that enhance computing at extreme scales. Our research portfolio spanning from basic to applied includes statistical modeling and experimental design, applied statistics, applied mathematics, machine learning, operations research, optimization, and other advanced statistical and mathematical domains.

      Computing researchers and practitioners work side by side to apply advanced theories, methods, algorithms, models, evaluation tools and testbeds, and computational-based solutions to address complex scientific challenges affecting energy, biological sciences, the environment, and national security. Core domain knowledge is beneficial, such as in the nuclear, biological, energy, materials, or chemical science spaces.



      • *The hiring level will be determined based on the education, experience, and skill set of the successful candidate based on the following:**
      • *Level II** : Leads specific tasks of the project to meet scope, schedule and budget. Expected to contribute professionally, building a professional reputation for technical expertise. Fully applying and interpreting standard theories, principles, methods, tools and technologies. Contributes technical content to proposals and develops business through excellent project performance.
      • *Level III:** Manages small to moderate projects and/or major project tasks. Integrates intellectual and technical capabilities of work teams. Enhances technical/professional skills of junior staff through active mentoring and training. Generates ideas for new proposals and participates in business development activities
      • *Minimum Qualifications**


        + BS/BA with 2 years of experience, MS/MA with 0 years of experience, or PhD with 0 years of experience



        • *Preferred Qualifications**


          + BS/BA with 5 years of experience, MS/MA with 3 years of experience, or PhD with 1 year of experience, focused in statistics with experience involving increasing levels of scientific research, task management, and programmatic responsibility

          + Position requires ability to apply theories and develop technical approaches with minimal oversight

          + Position requires the ability to effectively team with scientists and engineers to develop creative solutions to complex problems



          • *Equal Employment Opportunity**


            Battelle Memorial Institute (BMI) at Pacific Northwest National Laboratory (PNNL) is an Affirmative Action/Equal Opportunity Employer and supports diversity in the workplace. All employment decisions are made without regard to race, color, religion, sex, national origin, age, disability, veteran status, marital or family status, sexual orientation, gender identity, or genetic information. All BMI staff must be able to demonstrate the legal right to work in the United States. BMI is an E-Verify employer. Learn more at jobs.pnnl.gov.



            • *_Please be aware that the Department of Energy (DOE) prohibits DOE employees and contractors from participation in certain foreign government talent recruitment programs. If you are offered a position at PNNL and are currently a participant in a foreign government talent recruitment program you will be required to disclose this information before your first day of employment._**
            • *Other Information**


              Due to business needs and client space, US Citizenship is required:

              The Pacific Northwest National Laboratory is subject to the Department of Energy Unclassified Foreign Visits & Assignment Program site, information, technologies, and equipment access requirements.

              _Directorate:_ _National Security_

              _Job Category:_ _Scientists/Scientific Support_

              _Group:_ _Appld Stats & Comp Modeling_

              _Opening Date:_ _2020-06-03_

              _Closing Date:_ _2020-09-01_

Keywords: PNNL, Richland , Data Scientist - Statistics, Early Career, Other , Richland, Washington

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