Argonne National Laboratory is hiring an Assistant Computational Data Scientist to strengthen applications of AI, machine learning, and agent-based modeling for research on infrastructure security, energy security, economic security, and emergency management. In this role, you will develop predictive models, simulations, and optimization algorithms while collaborating with multi-disciplinary teams to create decision-ready toolsets.
What You'll Do
- Contribute to projects associated with AI/ML, high-performance computing (HPC), and computational problems related to the Division’s core missions and sponsors.
- Develop novel methodologies and contribute to emerging technical approaches that apply AI/ML and agent-based modeling to sponsored research.
- Work with an interdisciplinary team of domain scientists to develop decision-ready toolsets based upon AI/ML approaches.
- Contribute to projects associated with Large Language Model (LLM) toolset development for decision science applications.
- Support engagements with DOE, other federal entities, State, Local, Tribal, and Territorial governments, and industry sponsors to inform AI/ML tool development.
- Interface with subject matter experts across Argonne to produce decision-relevant AI/ML resources.
- Work with DIS and other Argonne experts to support government sponsors interested in AI/ML-informed decision-support.
What We're Looking For
- A Bachelor's degree and 0+ years, a Master's degree and 0+ years, or equivalent experience.
- Experience performing AI/ML-related activities, including data identification, cleansing and preparation, algorithm development, statistical learning, and validation of results.
- Knowledge and experience with coding languages including Python, MatLab, SQL, Java, and Julia.
- Knowledge and experience with machine learning libraries including TensorFlow, PyTorch, Scikit-learn, Pandas, and Numpy.
- Knowledge and experience with modeling and simulation, including agent-based modeling, Monte Carlo, and life cycle assessment.
- Ability to use independent judgment and abstract from specific problems to general solutions/findings.
- Strong oral and written communications skills, including translating technical information into plain language.
- Strong ability to work effectively in a team-based project environment.
- Skill and experience working on multiple projects simultaneously, including sound project management practices and managing deadlines.
- Skill and experience collaborating with team members and leading independent analysis in support of projects.
- Ability to model Argonne’s Core Values: Impact, Safety, Respect, Integrity, and Teamwork.
- The selected candidate will be required to obtain and maintain a clearance and must be a U.S. citizen.
Nice to Have
- Experience working with generative AI, natural language processing, network modeling, and AI assistant models.
Technical Stack
- Languages: Python, MatLab, SQL, Java, Julia
- Libraries: TensorFlow, PyTorch, Scikit-learn, Pandas, Numpy
Team & Environment
You will work with an interdisciplinary team of domain scientists, including decision science experts, computational scientists, engineers, and infrastructure analysts.
Benefits & Compensation
- Comprehensive benefits are part of the total rewards package.
- Compensation range: $74,799.00 - $118,785.42
Work Mode
This role follows a hybrid work mode and is based in the Chicago, IL region.
As an equal employment opportunity employer, and in accordance with our core values of impact, safety, respect, integrity and teamwork, Argonne National Laboratory is committed to a safe and welcoming workplace that fosters collaborative scientific discovery and innovation. Argonne encourages everyone to apply for employment. Argonne is committed to nondiscrimination and considers all qualified applicants for employment without regard to any characteristic protected by law.
