Berkeley Lab's National Energy Research Scientific Computing Center (NERSC) has an opening for a Systems Data Scientist. NERSC runs some of the world's largest state of art High Performance computing and data systems to support scientific research in the U.S. Department of Energy Office of Science. NERSC's systems are in great demand and optimizing the performance of user software applications, maximizing system utilization, and increasing operational efficiencies are required to maximize scientific productivity. NERSC collects large amounts of data on applications and systems and there are opportunities to collect more. The person in this position is responsible for leading the analysis of this data to help increase application performance and throughput and characterize the NERSC workload. This position also contributes to data management activities and helps optimize the operational efficiency of NERSC systems.
The Systems Data Scientist uses advanced statistical and mathematical techniques on data collected by NERSC to draw inferences aimed at increasing throughput and computational efficiency of scientific applications and the operational efficiency of the NERSC center. This position also analyzes the characteristics of scientific application codes and their usage on HPC systems and monitors NERSC system utilization and capability usage. He/she is responsible for managing user data collected from NERSC High Performance computational and data systems and assisting with operational and system-level data. The Systems Data Scientist also provides consulting and advice to other NERSC staff on statistical and mathematical methods for data analysis in other areas.
(This is a CSE 3 or CSE 4 level job depending on the experience and ability of the person in the position)
What You Will Do:
Participate in a team that collects and stores data collected from NERSC HPC systems relating to applications and their performance, job scheduling, and systems operations. Advise the team on best methods for enabling data from diverse sources to be integrated for holistic analysis.
Apply statistical methods to data collected from NERSC HPC systems to draw inferences (e.g. detect anomalies, identify correlations, optimize scheduling and job placement) that guide how NERSC configures systems, makes policy decisions, and acquires systems.
Develop methods and tools that allow NERSC users to optimize throughput of their applications (e.g., identify performance bottlenecks, monitor memory usage, predict optimal runtime parameter settings) and be part of a team that develops user interfaces.
Generate graphs and reports based on data from HPC systems.
Implement and maintain application performance monitoring methods and detect and report anomalies and changes.
Advise and consult with NERSC staff when statistical methods need to be applied to operational data analysis.
Additional Responsibilities at the CSE 4 Level:
Lead a team of data scientists and web developers to provide online query interfaces to present and analyze data and generate reports.
Play a leading role in determining center policies and directions based on analysis of data collected from NERSC systems.
What is Required:
Bachelor's degree or equivalent in statistics or a degree in a scientific field with 5 years experience in statistical methods of data analysis is required. An advanced degree is desired. Demonstrated ability to use data analysis to improve processes or operations.
Statistical methods for data analysis, including machine learning.
Ability to work with databases, SQL, and NoSQL. UNIX/LINUX, shell scripting, Python and other common data and learning frameworks.
Ability to produce insightful inferences from data and produce clear reports and summaries.
Strong communication and interpersonal skills are required as is an ability to work productively in groups.
Knowledge and experience with Service-Now (data structures, customization, business rules, report generation) is desired.
Additional Desired Qualifications:
Experience successfully leading technical teams.
Demonstrated ability to lead technical teams and use data analysis to inform and influence major business decisions.
The posting shall remain open until the position is filled.
This is a full time career appointment.
Classification will depend upon the applicant's level of skills, knowledge, and abilities.
Full-time, M-F, exempt (monthly paid) from overtime pay.
Salary is commensurate with experience.
This position may be subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.
Work will be primarily performed at: Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA.
Berkeley Lab (LBNL) addresses the world's most urgent scientific challenges by advancing sustainable energy, protecting human health, creating new materials, and revealing the origin and fate of the universe. Founded in 1931, Berkeley Lab's scientific expertise has been recognized with 13 Nobel prizes. The University of California manages Berkeley Lab for the U.S. Department of Energy's Office of Science.
Equal Employment Opportunity: Berkeley Lab is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status. Berkeley Lab is in compliance with the Pay Transparency Nondiscrimination Provision under 41 CFR 60-1.4. Click here to view the poster and supplement: "Equal Employment Opportunity is the Law."
Internal Number: 85275
About Lawrence Berkeley National Laboratory
In the world of science, Lawrence Berkeley National Laboratory (Berkeley Lab) is synonymous with excellence. Thirteen scientists associated with Berkeley Lab have won the Nobel Prize. Fifty-seven Lab scientists are members of the National Academy of Sciences (NAS), one of the highest honors for a scientist in the United States. Thirteen of our scientists have won the National Medal of Science, our nation's highest award for lifetime achievement in fields of scientific research. Eighteen of our engineers have been elected to the National Academy of Engineering, and three of our scientists have been elected into the Institute of Medicine. In addition, Berkeley Lab has trained thousands of university science and engineering students who are advancing technological innovations across the nation and around the world. Berkeley Lab is a member of the national laboratory system supported by the U.S. Department of Energy through its Office of Science. It is managed by the University of California (UC) and is charged with conducting unclassified research across a wide range of scientific disciplines. Located on a 200-acre site in the hills above the UC Berkeley campus that offers spectacular... views of the San Francisco Bay, Berkeley Lab employs approximately 4,200 scientists, engineers, support staff and students. Its budget for 2011 is $735 million, with an additional $101 million in funding from the American Recovery and Reinvestment Act, for a total of $836 million. A recent study estimates the Laboratory's overall economic impact through direct, indirect and induced spending on the nine counties that make up the San Francisco Bay Area to be nearly $700 million annually. The Lab was also responsible for creating 5,600 jobs locally and 12,000 nationally. The overall economic impact on the national economy is estimated at $1.6 billion a year. Technologies developed at Berkeley Lab have generated billions of dollars in revenues, and thousands of jobs. Savings as a result of Berkeley Lab developments in lighting and windows, and other energy-efficient technologies, have also been in the billions of dollars. Berkeley Lab was founded in 1931 by Ernest Orlando Lawrence, a UC Berkeley physicist who won the 1939 Nobel Prize in physics for his invention of the cyclotron, a circular particle accelerator that opened the door to high-energy physics. It was Lawrence's belief that scientific research is best done through teams of individuals with different fields of expertise, working together. His teamwork concept is a Berkeley Lab legacy that continues today.