Data Scientist 3

Pacific Northwest National Laboratory • Richland, WA

357d • $137,200 - $223,900

About The Position

Are you passionate about using data and machine learning to solve complex problems and drive innovation? Join the Data Sciences & Machine Intelligence group at PNNL, where you can advance your career as part of an interdisciplinary team focused on accelerating scientific discovery. We're looking for a collaborative and innovative Senior Data Scientist to lead and support research in data science, machine intelligence, and autonomous learning. This role offers the opportunity to grow your skills in optimization, machine learning, and artificial intelligence while contributing to solutions for impactful real-world challenges, including energy innovation, and predictive modeling, decision making and real-time control for scientific discovery. The successful candidate must be adept at collaborating with interdisciplinary technical teams through excellent communication and interpersonal skills. At PNNL, we value diverse perspectives and foster a supportive, inclusive environment where all team members can thrive and contribute to national level impact.

Requirements

• BS/BA and 5+ years of relevant work experience -OR-
• MS/MA and 3+ years of relevant work experience -OR-
• PhD with 1+ year of relevant experience

Nice To Haves

• Expert knowledge of modern scientific deep learning methods, including Neural ODEs, PINNs, operator networks, and graph neural networks.
• Proficiency in Python and/or Julia, technical libraries such as SciPy, Numpy, Pandas, Scikit-learn, Pytorch, TensorFlow, and optimization tools like Gurobi or CPLEX.
• Proven leadership in developing open-source scientific machine learning code.
• Extensive experience in applying machine/deep learning to scientific domains such as chemistry, biology, and energy.
• Demonstrated ability to develop innovative solutions and engage with the technical community through peer-reviewed articles, software contributions, or other technical work products.
• Strong publication record in leading scientific conferences such as NeurIPS, ICML, ICLR, AAAI.
• Experience collaborating on and leading multi-disciplinary teams to solve complex problems.
• Proven ability to develop new ideas for proposals and business development opportunities.
• Demonstrated capability to acquire funding for self-led initiatives with programmatic impact.
• Experience scoping, scheduling, and budgeting for projects or major tasks.
• Proven ability to lead technical products and mentor early career staff.
• Established leadership role within professional communities, including societies, other laboratories, academia, or industry.

Responsibilities

• 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.
• Leads and contributes to publishing and presenting results in scientific computing journals, conferences, and to sponsoring agencies.
• Mentors and trains early career staff and interns to foster the next generation of data scientists.

Benefits

• 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
• Fertility support
• Company funded pension plan
• 401k savings plan
• Up to 120 vacation hours per year
• Ten paid holidays per year

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Industry: Professional, Scientific, and Technical Services
• Education Level: Ph.D. or professional degree
• Number of Employees: 1,001-5,000 employees