Data Scientist 2 - Earth/Energy/Environmental Applications
Full Time
Richland, WA 99354
Posted
Job description
Overview:
Click Here For Rockstar Rewards Responsibilities:
Successful candidates will be responsible for AI/ML software development for a number of complex system applications, which include developing and employing state-of-the-art technqiues such as deep learning, reinforcement learning, physics-informed ML, few-shot learning, transfer learning, hybrid learning, for data fusion, data augumenation, reduced order model development, solution for inverse problems, and so on. Preferences will be given to candidates with demonstrated experience or credential in performing independently activities, and contributing to large, complex, formal documents, such as project reports, journal articles, conference papers, and presentations. The candidate is expect to contribute to technical proposals for developing new projects and business, work with senior staff and project managers to develop and implement project management plans for projects of various sizes, and work in a team environment of high-performance multi-disciplinary experts. Qualifications:
At PNNL, you will find an exciting research environment and excellent benefits including health insurance, flexible work schedules and telework options. PNNL is located in eastern Washington State—the dry side of Washington known for its stellar outdoor recreation and affordable cost of living. The Lab’s campus is only a 45-minute flight (or ~3-hour drive) from Seattle or Portland, and is serviced by the convenient PSC airport, connected to 8 major hubs. Commitment to Excellence, Diversity, Equity, Inclusion, and Equal Employment Opportunity:
Pacific Northwest National Laboratory considers all applicants for employment without regard to race, religion, color, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, genetic information (including family medical history), protected veteran status, and any other status or characteristic protected by federal, state, and/or local laws.
We are committed to providing reasonable accommodations for individuals with disabilities and disabled veterans in our job application procedures and in employment. If you need assistance or an accommodation due to a disability, contact us at careers@pnnl.gov. Drug Free Workplace:
Beginning 05/01/23, if you are offered employment at PNNL, you must pass a drug test prior to commencing employment. PNNL complies with federal law regarding illegal drug use. Under federal law, marijuana remains an illegal drug. If you test positive for any illegal controlled substance, including marijuana, your offer of employment will be withdrawn.
The Earth Systems Predictability and Resiliency (ESPR) Group provides operational intelligence and system performance forecasting to enable decision support. We use this information to understand and predict how the coupling of human–Earth processes (e.g., climate, water, land use, and energy system interactions) controls complex energy and environmental systems behavior. Our researchers use integrated approaches that include sensing and measurement, environmental forensics, high-performance computing, spatial and non‐spatial statistics, spatiotemporal analysis models, GIS algorithms, machine learning and artificial intelligence methods, and geovisualization. This position will provide support to existing and emerging federally funded programs focused on characterization, monitoring, modeling, and/or predicting complex earth, energy, and environmental systems. This includes application areas of climate modeling, extreme events, human-earth interactions, environmental remediation, carbon sequestration, renewable generation, power system opration and planning, grid resiliency, and smart cities.
Rockstar Rewards:
Employees and their families are offered medical insurance, dental insurance, vision insurance, health savings account, flexible spending accounts, basic life insurance, disability insurance*, employee assistance program, business travel insurance, tuition assistance, supplemental parental bonding leave**, surrogacy and adoption assistance, and fertility support. Employees are automatically enrolled in our company funded pension plan* and may enroll in our 401k savings plan. Employees may accrue up to 120 vacation hours per year and may receive ten paid holidays per year.
- Research Associates excluded.
**Once eligibility requirements are met.
Click Here For Rockstar Rewards
Designs, develops, and implements methods, processes, and systems to analyze diverse data. Applies knowledge of statistics, machine learning, advanced mathematics, simulation, software development, and data modeling to integrate and clean data, recognize patterns, address uncertainty, pose questions, and make discoveries from structured and/or unstructured data. Produces solutions driven by exploratory data analysis from complex and high-dimensional datasets. Designs, develops, and evaluates predictive models and advanced algorithms that lead to optimal value extraction from the data. Demonstrates ability to transfer skills across application domains.
Successful candidates will be responsible for AI/ML software development for a number of complex system applications, which include developing and employing state-of-the-art technqiues such as deep learning, reinforcement learning, physics-informed ML, few-shot learning, transfer learning, hybrid learning, for data fusion, data augumenation, reduced order model development, solution for inverse problems, and so on. Preferences will be given to candidates with demonstrated experience or credential in performing independently activities, and contributing to large, complex, formal documents, such as project reports, journal articles, conference papers, and presentations. The candidate is expect to contribute to technical proposals for developing new projects and business, work with senior staff and project managers to develop and implement project management plans for projects of various sizes, and work in a team environment of high-performance multi-disciplinary experts.
Minimum Qualifications:
- BS/BA and 2 years of relevant experience -OR-
- MS/MA -OR-
- PhD
Preferred Qualifications:
- Technical background in deep learning, reinforcement learning, physics-informed ML, few-shot learning, transfer learning, and hybrid learning
- Graduates in technically relevant discipline (e.g., computer science, climate science, geoengineering, power systems) with experience in conceptual and computational modeling.
- Proficiency in python, R, Julia, C++, FORTRAN, and familiarity with LINUX operating systems
- Demonstrated success of articulating research through publications.
Not Applicable.
Additional Information:
Not Applicable.
Testing Designated Position (TDP):
Not Applicable.
About PNNL:
Pacific Northwest National Laboratory (PNNL) is a world-class research institution powered by a highly educated, diverse workforce committed to the values of Integrity, Creativity, Collaboration, Impact, and Courage. Every year, scores of dynamic, driven people come to PNNL to work with renowned researchers on meaningful science, innovations and outcomes for the U.S. Department of Energy and other sponsors; here is your chance to be one of them!
At PNNL, you will find an exciting research environment and excellent benefits including health insurance, flexible work schedules and telework options. PNNL is located in eastern Washington State—the dry side of Washington known for its stellar outdoor recreation and affordable cost of living. The Lab’s campus is only a 45-minute flight (or ~3-hour drive) from Seattle or Portland, and is serviced by the convenient PSC airport, connected to 8 major hubs.
Our laboratory is committed to a diverse and inclusive work environment dedicated to solving critical challenges in fundamental sciences, national security, and energy resiliency. We are proud to be an Equal Employment Opportunity and Affirmative Action employer. In support of this commitment, we encourage people of all racial/ethnic identities, women, veterans, and individuals with disabilities to apply for employment.
Pacific Northwest National Laboratory considers all applicants for employment without regard to race, religion, color, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, genetic information (including family medical history), protected veteran status, and any other status or characteristic protected by federal, state, and/or local laws.
We are committed to providing reasonable accommodations for individuals with disabilities and disabled veterans in our job application procedures and in employment. If you need assistance or an accommodation due to a disability, contact us at careers@pnnl.gov.
PNNL is committed to a drug-free workplace supported by Workplace Substance Abuse Program (WSAP) and complies with federal laws prohibiting the possession and use of illegal drugs.
Beginning 05/01/23, if you are offered employment at PNNL, you must pass a drug test prior to commencing employment. PNNL complies with federal law regarding illegal drug use. Under federal law, marijuana remains an illegal drug. If you test positive for any illegal controlled substance, including marijuana, your offer of employment will be withdrawn.
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