NREL: Senior Scientist Computational Statistics

Work with NREL scientists by introducing modern statistical methodologies in the research and analysis of large-scale temporal datasets, laboratory data, mathematical models, and simulations related to renewable energy and energy efficiency.

NREL Company: NREL
Location: Golden, CO

The National Renewable Energy Laboratory (NREL), located in beautiful Golden, Colorado, is a leader in the U.S. Department of Energy's effort to secure an energy future for the nation that is environmentally and economically sustainable.

Please apply online, Click on Apply for Jobs, Search for Job Req #4277

About NREL
The National Renewable Energy Laboratory (NREL) is a leader in the U.S. Department of Energy's effort to secure an energy future that is both environmentally and economically sustainable. With locations in Golden, Boulder and Washington D.C., NREL is the primary laboratory for research, development and deployment of renewable energy technologies in the United States. The NREL mission is to develop renewable energy and energy efficient technologies and practices, advance related science and engineering, and transfer knowledge and innovation to address the nation's energy and environmental goals.

Job/Research Summary
In support of NREL's mission, the Computational Science Center has an immediate opening for a full time Senior Staff Scientist in Computational Statistics. The successful candidate will work with a diverse group of NREL scientists by introducing modern statistical methodologies in the research and analysis of large-scale temporal datasets, laboratory data, mathematical models, and simulations related to renewable energy and energy efficiency research and deployment.

The candidate will assist NREL scientists in a wide variety of applied areas, potentially to include energy systems integration, high-performance buildings, photovoltaic suitability and adoption, computational biology, chemistry, material science, fluid dynamics, structural analysis, engineering analysis, and energy resource analysis.

Job Duties
Work with renewable energy domain scientists and other stakeholders to bring statistical expertise to the design, analysis, and reporting of renewable energy experiments and data related to critical research issues. These collaborations will often include the specification, design, and implementation of various analytical processes, techniques and prototypes for complex scientific experiments and applications, including time series analysis, data mining, classification and clustering, geospatial analysis, and general R and/or python programming.

The successful candidate will be responsible for all elements of data analytic efforts in the Computational Science Center. Job duties include, but are not limited to, statistical program and capability development and software development and maintenance, such as maintaining R and statistical libraries of packages for the high performance computing environment(s). Job duties include lab-wide outreach to capture design elements and statistical methodology, and enable the use of R and other statistical software and analytics tools on our HPC platforms. Ability to contribute to the future direction of data analytic, data processing, data systems and storage needs within the Center, including collaborations with data management and visualization groups. The candidate is expected to establish analysis capabilities and systems, standards, guidelines and quality assurance for analysis tools to better enable both current and future analytics capabilities across the lab.

Internal and external grant writing is necessary. That is, the candidate is required to monitor agencies for potential funding opportunities with a data analytic focus and contribute to proposals when they arise.

Technology tracking: Evaluate and track technology changes in applied statistical software, particularly as it relates to HPC, and big data initiatives and developments. Report findings to NREL scientific staff, and assists in assessing the impact of these changes on the evolution of scientific data analysis at NREL.

Required Education and Experience
  • Relevant PhD or equivalent relevant education/experience.
  • Or, relevant Master's Degree and 3 or more years of experience or equivalent relevant education/experience.
  • Or, relevant Bachelor's Degree and 5 or more years of experience or equivalent relevant education/experience.

Required Knowledge, Skills and Attributes
Demonstrates complete understanding and wide application of scientific technical procedures, principles, theories and concepts in the field. General knowledge of other related disciplines.

Demonstrates leadership in one or more areas of team, task or project lead responsibilities. Demonstrated experience in management of projects. Very good technical writing, interpersonal and communication skills.

Additional Required Knowledge, Skills and Attributes
  • At least 4 years experience in an applied statistics environment
  • Experience with the following statistical techniques: time series analysis, statistical learning (e.g. classification, clustering, lasso, etc.), Bayesian analysis and Monte Carlo methods.
  • Ability to write statistical code and documentation with demonstrated expertise in R and Python.
  • Experience working with relational database systems such as Postgres, Oracle, MySQL, etc, including writing SQL queries and retrieving data out of relational database systems for analysis.
  • Knowledge of big data technologies, such as Hadoop-based technologies, semi-structured and unstructured data analysis techniques.
  • Demonstrated experience programming in Linux/Unix environments
  • Demonstrated ability to quickly understand the data structures of multiple systems.

Preferred Qualifications
  • Experience with high performance computing
  • Experience in big data knowledge discovery techniques such as knowledge-based queries, machine learning approaches, and interpretive visualizations.
  • Ability and desire to learn new concepts and technologies.
  • Excellent oral and written communication skills.
  • Ability to work in teams and collaborate with others to clarify requirements.
  • Strong coordination and project management skills to handle complex projects.

EEO Policy / E-Verify
NREL's policy is to provide equal employment opportunities to all qualified persons without regard to race, age, color, sex, religion, national origin, marital or veteran status, or any other legally protected status.

NREL validates right to work using E-Verify. NREL will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS), with information from each new employee's Form I-9 to confirm work authorization. For additional information, please click here

Pre-employment drug testing required.

Please include a cover letter specific to each position you are applying to indicating how you match the requirements of the posting.