Job Description
Savannah River National Laboratory’s Environmental and Legacy Management (ELM) directorate is seeking a highly motivated and self-starting Data Scientist with a focus on AI and machine learning to join their Environmental Sciences and Dosimetry team. This role involves streamlining processes related to data compilation, data analysis, data visualization, and process automation. The ideal candidate will utilize tech-enhanced methodologies to drive efficiency within multiple programmatic areas, including dashboard maintenance, data visualization, virtual events, and communications practices. The candidate should be able to use AI and machine learning techniques for application across broad problem sets in areas such as bioengineering, environmental monitoring, and national security related domains.
Responsibilities
- Develop and maintain AI and machine learning software pipelines for monitoring complex and dynamic physical systems
- Collaborate with team members to develop and maintain research tools and software applications
- Write and maintain technical documentation for research tools and software applications
- Participate in code reviews and contribute to the improvement of the overall codebase
- Streamlining data collection, storage, and reporting mechanisms
Typical Tools And Technologies
- Languages: Python, SQL, C#, Java, Go, C, JavaScript, HTML/CSS, R
- Python libraries: pandas, NumPy, Matplotlib, Seaborn
- Machine learning frameworks: .NET, Tensorflow, Pytorch, React
- Developer Tools: Jupyter, Spyder, Github, VS Code, Visual Studio, Office 365
Qualifications
Minimum Qualifications:
- MS + 0-3 yrs in computer or physical sciences
- Ability to obtain and maintain a security clearance, US Citizenship is legally required
- Strong experience in Python programming, including experience with AI and machine learning libraries (e.g. Pytorch, TensorFlow, scikit-learn)
- Demonstrated ability to apply AI/ML concepts to physical systems
- Excellent communication and teamwork skills
- Ability to write and document technical work
- Self-motivated and able to work independently
- Familiarity with data engineering and curation principles and practices
- Experience with data visualization tools
Preferred Qualifications
- Experience with machine learning primitives and ability to choose the right approach for a given problem (e.g. decision trees, random forests, deep learning)
- Experience with natural language processing (NLP) techniques and libraries (e.g. NLTK, spaCy), as well as knowledge management principles
About Us
"We put science to work!"
Savannah River National Laboratory (SRNL) is a multi-program laboratory applying state of the art science and practical, high-value, cost-effective solutions to complex technical problems to protect the nation. Located at the U.S. Department of Energy’s (DOE) Savannah River Site (SRS) in Aiken SC, the laboratory develops and deploys innovative technologies to address some of the nation’s environmental, energy, and national security challenges.
Battelle Savannah River Alliance (BSRA) is constantly assessing trends to provide the best possible benefits to our workforce. We also negotiate cost effective premiums that will meet the needs of our evolving workforce.
Some of the *Benefits offered to employees include:
- Benefits vary based upon employment status
- Highly competitive Medical, Dental, and Vision options including HSA options with company provided seed
- Short- & Long-Term Disability (company paid)
- Life Insurance Non-Contributary 1X salary (company paid)
- AD&D Non-contributary 1x salary (company paid)
- Savings & Investment plan:
- Qualified Non-Elective Company Contribution of 5% each pay period with immediate vesting
- Company match 50 cents/dollar up to 8% (3 yrs. vesting in company match)
- Contributory Life Insurance up to 5x Salary with $1M Cap
- Contributory AD&D (employee, spouse and children)
- Paid Time Off
- Employee Assistance Plan
- SRNL offers a competitive relocation package to ease the transition process. Domestic and international relocation assistance is available for certain positions.
For more information about our benefits, working here, and living here, visit the
“About” tab at www.srnl.doe.gov .
BSRA is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, or protected veteran status. BSRA is also committed to making our workplace accessible to individuals with disabilities and will provide reasonable accommodations, upon request, for individuals to participate in the application and hiring process. Please email us at SRNLRecruiting@srnl.doe.gov with any questions regarding the hiring process or to request an accommodation.
