Data Scientist

The computational science center (CSC) Data, Analysis and Visualization Group is seeking a full-time (40 hours per week) year-round professional data scientist. The candidate will work with staff scientists on diverse data science and data management projects including wind turbine and gearbox prognostics, energy efficient high performance computing, and materials property prediction. These projects involve a mixture of data management and curation, scientific programming, model building and analysis. The candidate will make use of existing datacenter systems including a 48-node Spark/Hadoop cluster and our High Performance Computing (HPC) cluster (Peregrine) to solve problems at scale.

Interested candidates should have experience programming python (optionally, in addition to other languages), accessing APIs and databases (SQL), some background or experience with machine learning and applied predictive modeling, as well as a high degree of curiosity, willingness to learn to skills and ability to adapt to the data needs of differing domains. Successful applicants will also have some prior experience with parallel and distributed programming and/or big data frameworks and scientific plotting libraries (e.g., plot.ly, matplotlib). All applicants should have a strong familiarity with Unix/Linux operating systems and open source software.

Specific duties will include programming, both for data management and organization (ETL), as well as modeling. Candidates should be able to demonstrate existing skills and experience in applying data science in industry, academia, or government settings.

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Required Education, Experience, and Skills

Relevant PhD . Or, relevant Master’s Degree and 3 or more years of experience . Or, relevant Bachelor’s Degree and 5 or more years of experience . 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.

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Preferred Qualifications

• Demonstrated experience developing data workflows, metadata requirements gathering, and development of multi-user policy templates for data ownership, lifetime and access.
• Experience in designing efficient and robust ETL workflows.
• Experience in database programming (i.e. functions, integration with external languages, stored procedures, triggers, batch jobs, SQL loader etc).
• Demonstrated experience programming or scripting loading or extraction routines in Linux/Unix and Windows.
• Demonstrated ability to quickly understand the data structures of multiple systems.
• Familiarity with data product integration into websites and other online tools.
• Sufficient software engineering expertise to enable big data solutions: object-oriented design, coding and testing patterns; engineering software platforms and large-scale data infrastructures.
• Experience with statistical analysis software and programming languages (R, Java, Matlab).

• Experience in Energy Efficiency and Renewable Energy (EERE) domains, e.g., materials science, mechanical engineering, physics.

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Submission Guidelines

Please note that in order to be considered an applicant for any position at NREL you must submit an application form for each position for which you believe you are qualified. Applications are not kept on file for future positions. Please include a cover letter and resume with each position application.

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EEO Policy

NREL is dedicated to the principles of equal employment opportunity. NREL promotes a work environment that does not discriminate against workers or job applicants and prohibits unlawful discrimination on the basis of race, color, religion, sex, national origin, disability, age, marital status, ancestry, actual or perceived sexual orientation, or veteran status, including special disabled veterans.

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.