Data Scientist - Uncertainty Quantification - Security Clearance Required
Company: Lawrence Livermore National Laboratory
Location: Livermore
Posted on: January 15, 2023
Job Description:
Company DescriptionJoin us and make YOUR mark on the World!Are
you interested in joining some of the brightest talent in the world
to strengthen the United States' security? Come join Lawrence
Livermore National Laboratory (LLNL) where our employees apply
their expertise to create solutions for BIG ideas that make our
world a better place.We are committed to a diverse and equitable
workforce with an inclusive culture that values and celebrates the
diversity of our people, talents, ideas, experiences, and
perspectives. This is essential to innovation and creativity for
continued success of the Laboratory's mission.Pay Range $123,960 -
$166,992 Annually for the SES.2 level
$148,650 - $200,328 Annually for the SES.3 levelPlease note that
the pay range information is a general guideline only. Many factors
are taken into consideration when setting starting pay including
education, experience, the external labor market, and internal
equity.Job DescriptionWe have multiple openings for Data Scientists
with expertise in Uncertainty Quantificationto join a vibrant team
supporting multiple missions across LLNL, including applications in
biology, physics, and space programs.You'll work with domain
scientists and engineers to develop and apply machine learning,
uncertainty quantification, statistical and data science methods to
a variety of important and challenging national security problems.
You will also have the opportunity to engage in a variety of
related research projects in computational physics,
high-performance computing, modeling and simulation (mod/sim), and
data analysis. These positions are in the Center for Applied
Scientific Computing (CASC) within the Computing Directorate.These
positions will be filled at either level based on knowledge and
related experience as assessed by the hiring team. Additional job
responsibilities (outlined below) will be assigned if hired at the
higher level.Essential Duties
- Research and develop advanced estimation, verification, and
validation (V&V), and uncertainty quantification (UQ)
methodology using state-of-the-art statistical methods, machine
learning, and/or multi-fidelity modeling.
- Adapt current machine learning research to high consequence
real world applications and integrate solutions into practical tool
chains.
- Pursue independent (but complementary) research interests and
interact with a broad spectrum of scientists internal and external
to the Laboratory.
- Present formal and informal overviews of research progress to
peers, sponsors, and stakeholders.
- Work as part of inter-disciplinary teams of scientists and
engineers to achieve mission-oriented deliverables on externally
driven timelines.
- Perform other duties as assigned.Additional Responsibilities at
the SES.3 level
- Manage multiple advanced parallel tasks and priorities of
customers and stakeholders, ensuring deadlines are met, while
leveraging team member's skills.
- Conduct self-initiated research, maintain an awareness of
technical literature in assigned areas, publish research results in
peer-reviewed scientific or technical journals, and present results
at external conferences, seminars, and/or technical meetings.
- Provide solutions to complex problems that require in-depth
analysis of tangible and intangible factors.Qualifications
- Ability to obtain and maintain a US DOE Q and SCI security
clearance which requires U.S. Citizenship.
- Ph.D. in Computer Science, Statistics, Mathematics, or a
related field.
- Experience in one or more of the following: machine learning,
deep learning, artificial intelligence, scientific machine
learning, image analysis, uncertainty quantification, verification
and validation (V&V), computational statistics.
- Experience with scientific programming and algorithm
development in Python/R/Julia, or C/C++.
- Comprehensive analytical and problem-solving skills necessary
to independently craft creative solutions to solve complex
problems.
- Ability to conduct high quality research and to develop
implementations of sophisticated algorithms to evaluate the
results.
- Advanced verbal and written communication skills to effectively
document, present and explain technical information to technical as
well as non-technical audiences.Additional Qualifications at the
SES.3 Level
- Experience leading or mentoring small 2-3 person teams.
- Significant experience developing and applying advanced UQ,
V&V and/or ML methods to real-world problems.
- Significant experience working on a research team with
individuals from diverse technical backgrounds, as well as an
ability to function as an independent researcher with a high level
of attention to details.Qualifications we desire
- Experience in computational physics modeling, modeling &
simulation (mod/sim), digital design, surrogate modeling of
computer experiments, or scientific high-performance
computing.
- Experience in modern machine learning environments (e.g.,
TensorFlow/Keras, PyTorch and related data ecosystems). -
- Experience with common Unix/Linux tools and version control.
-
- Experience with high performance computing (HPC) and batch
environments.
- Experience in software development as shown by open-source
projects, scientific collaboration contributions, or an employment
background that includes software engineering roles or
responsibilities.
- Expertise with scientific computing workflow systems and
deployment of data processing pipelines on various computing
architectures.
- Experience working in the U.S. national security
community.Additional InformationSecurity ClearanceLLNL is a
Department of Energy (DOE) and National Nuclear Security
Administration (NNSA) Laboratory. - Most positions will require a
DOE L or Q clearance (please reference Security Clearance
requirement). - If you are selected, we -will initiate a Federal
background investigation to determine if you -meet eligibility
requirements for access to classified information or matter. In
addition, all L or Q cleared employees are subject to random drug
testing. - An L or Q clearance requires U.S. citizenship. - If you
hold multiple citizenships (U.S. and another country), you may be
required to renounce your non-U.S. citizenship before a DOE L or Q
clearance will be processed/granted. - For additional information
please see -.Why Lawrence Livermore National Laboratory?
- Included in 2021 Best Places to Work by Glassdoor!
- Work for a premier innovative national Laboratory
- Comprehensive
- Flexible schedules (depending on project needs)
- Collaborative, creative, inclusive, and fun team
environmentLearn more about our company, selection process,
position types and security clearances by visiting our .
-Pre-Employment Drug TestExternal applicant(s) selected for this
position will be required to pass a post-offer, pre-employment drug
test. - This includes testing for use of marijuana as Federal Law
applies to us as a Federal Contractor.Equal Employment
OpportunityLLNL is an affirmative action and equal opportunity
employer that values and hires a diverse workforce. All qualified
applicants will receive consideration for employment without regard
to race, color, religion, marital status, national origin,
ancestry, sex, sexual orientation, gender identity, disability,
medical condition, pregnancy, protected veteran status, age,
citizenship, or any other characteristic protected by applicable
laws.LLNS is committed to offering reasonable accommodations during
the application and recruiting processes due to a disability. - If
you need assistance or an accommodation due to a disability, please
submit a request via our . -California -Privacy NoticeThe
California Consumer Privacy Act (CCPA) grants privacy rights to all
California residents. The law also entitles -job applicants,
employees, and non-employee workers to be notified of what personal
information LLNL collects and for what purpose. The Employee
Privacy Notice can be accessed .Position InformationThis is a
Career Indefinite or At Will appointment. Lab employees and
external candidates may be considered for this position.Why
Lawrence Livermore National Laboratory?
- Included in 2022 -Best Places to Work by Glassdoor!
- Flexible
- 401(k)
- Education Assistance
- Flexible schedules (depending on project needsSecurity
ClearanceThis position requires a Department of Energy (DOE)
Q-level clearance. - Also, you must have the ability to obtain and
maintain Sensitive Compartmented Information (SCI) access. - -If
you are selected, we will -initiate a Federal background
investigation to determine if you -meet eligibility requirements
for access to classified information or matter. Also, all L or Q
cleared employees are subject to random drug testing. Q-level
clearance requires U.S. citizenship. -Pre-Employment Drug
TestExternal applicant(s) selected for this position must pass a
post-offer, pre-employment drug test. This includes testing for use
of marijuana as Federal Law applies to us as a Federal
Contractor.Equal Employment OpportunityWe are an equal opportunity
employer that is committed to providing all with a work environment
free of discrimination and harassment. All qualified applicants
will receive consideration for employment without regard to race,
color, religion, marital status, national origin, ancestry, sex,
sexual orientation, gender identity, disability, medical condition,
pregnancy, protected veteran status, age, citizenship, or any other
characteristic protected by applicable laws.We invite you to review
the Equal Employment Opportunity posters which include and
.Reasonable AccommodationOur goal is to create an accessible and
inclusive experience for all candidates applying and interviewing
at the Laboratory. - If you need a reasonable accommodation during
the application or the recruiting process, please use our to submit
a request. -California -Privacy NoticeThe California Consumer
Privacy Act (CCPA) grants privacy rights to all California
residents. The law also entitles -job applicants, employees, and
non-employee workers to be notified of what personal information
LLNL collects and for what purpose. The Employee Privacy Notice can
be accessed .
Keywords: Lawrence Livermore National Laboratory, Livermore , Data Scientist - Uncertainty Quantification - Security Clearance Required, Other , Livermore, California
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