Data and Visualization Scientist

Posting TitleData and Visualization Scientist

.

LocationCO - Golden

.

Position TypeLimited Term (Fixed Term)

.

Hours Per Week40

.

Working at NRELThe National Renewable Energy Laboratory (NREL), located at the foothills of the Rocky Mountains in Golden, Colorado is the nation's primary laboratory for research and development of renewable energy and energy efficiency technologies.

Join a team of world-class scientists, engineers, and visionaries dedicated to shaping the world’s energy future through cutting-edge research and innovation. From our vision to our NREL community, we are unique in the research community. We are focused on impact. From our work in basic sciences to systems engineering, analysis, demonstration, and deployment, we are focused on solving market-relevant problems that result in advanced, secure, reliable, and affordable energy systems. We are trusted clean energy leaders, developing cost-saving solutions that make U.S. industries more competitive, and support job creation and economic growth across rural and urban communities.

At NREL, we offer a unique, mission-driven work environment with cutting-edge facilities and multidisciplinary research teams. NREL's environment offers strong partnerships with industry, academia, and other national laboratories, as well as professional development opportunities and a competitive benefits package for employees.

Learn about NREL’s critical objectives: NREL's Mission and Vision.

Job Description

The Data, Analysis and Visualization group in NREL’s Computational Science Center has an immediate opening for a Data and Visualization Scientist to execute a cross-disciplinary research portfolio in data science and visualization with emphases in applied topology, visual analytics, and knowledge discovery in large-scale computational data.

The successful candidate will help to develop custom scalable software to model, analyze, and visualize complex energy system domains. The candidate will integrate these software tools with scientific and engineering workflows for decision support and data analysis. These workflows will include the use of state-of-the-art high-performance parallel computing (HPC) and visualization facilities. The candidate will evaluate and communicate results through written research reports for publication and presentation at conferences. Additionally, the candidate will participate in regular group meetings, seminars, and in the development of grant proposals for new research directions.

.

Basic QualificationsRelevant 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.

* Must meet educational requirements prior to employment start date.

Additional Required Qualifications

The successful candidate will bring a solid background in data science, topological data analysis, machine learning methods, and graph-learning techniques. Additionally, the candidate will have experience in scientific visualization, including a working understanding of visual analytics, human-computer interaction, and high-dimensional data visualization techniques. The candidate should be willing to work in an interdisciplinary field, together with computer scientists, engineers, and domain experts. The candidate will possess strong programming and algorithm developments skills and have programming experience in one or more HPC programming languages (i.e., Python, C++).

Preferred Qualifications

The ideal candidate will bring:

·       Expertise in topological data analysis, computational geometry, and applications within graph learning

·       Expertise in data visualization of scientific datasets

·       Demonstrated software engineering experience

·       Knowledge or familiarity with supply chain analytics

·       Knowledge or familiarity with materials science  

.

Job Application Submission Window

The anticipated closing window for application submission is up to 30 days and may be extended as needed.

Annual Salary Range (based on full-time 40 hours per week)Job Profile: Researcher III / Annual Salary Range: $81,500 - $146,700

NREL takes into consideration a candidate’s education, training, and experience, expected quality and quantity of work, required travel (if any), external market and internal value, including seniority and merit systems, and internal pay alignment when determining the salary level for potential new employees. In compliance with the Colorado Equal Pay for Equal Work Act, a potential new employee’s salary history will not be used in compensation decisions.

Benefits SummaryBenefits include medical, dental, and vision insurance; pension benefits*; 403(b) Employee Savings Plan with employer match*; and sick leave (where required by law). NREL employees may be eligible for, but are not guaranteed, performance-, merit-, and achievement- based awards that include a monetary component. Some positions may be eligible for relocation expense reimbursement.

* Based on eligibility rules

Badging RequirementNREL is subject to Department of Energy (DOE) access restrictions. All employees must also be able to obtain and maintain a federal Personal Identity Verification (PIV) card as required by Homeland Security Presidential Directive 12 (HSPD-12), which includes a favorable background investigation.

Drug Free Workplace

NREL is committed to maintaining a drug-free workplace in accordance with the federal Drug-Free Workplace Act and complies with federal laws prohibiting the possession and use of illegal drugs. Under federal law, marijuana remains an illegal drug.

If you are offered employment at NREL, you must pass a pre-employment drug test prior to commencing employment. Unless prohibited by state or local law, the pre-employment drug test will include marijuana. If you test positive on the pre-employment drug test, your offer of employment may be withdrawn.

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.

.

EEO Policy

NREL is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard basis of age (40 and over), color, disability, gender identity, genetic information, marital status, domestic partner status, military or veteran status, national origin/ancestry, race, religion, creed, sex (including pregnancy, childbirth, breastfeeding), sexual orientation, and any other applicable status protected by federal, state, or local laws.

EEO is the Law | Pay Transparency Nondiscrimination | Reasonable Accommodations

E-Verify www.dhs.gov/E-Verify For information about right to work, click here for English or here for Spanish.

E-Verify is a registered trademark of the U.S. Department of Homeland Security. This business uses E-Verify in its hiring practices to achieve a lawful workforce.