Data Scientist I - Applied AI
Role details
Job location
Tech stack
Job description
Develop data science models or algorithms using disciplined software development processes, making recommendations for developing new code or re-using existing code, implementing version control and maintaining documentation of created applications. Contribute to AI/ML models and algorithms using disciplined software-engineering practices, including version control, automated testing, and thorough documentation. Support design, build, and maintenance of production-grade pipelines for model training, validation, deployment, and monitoring, applying CI/CD and containerization principles. Collaborate with multiple stakeholders to translate business needs into AI system specifications, define service-level objectives, and provide technical guidance to data-science partners. Support the ingestion, data preparation, curation, and governance of large, multi-faceted data sets supporting analytics models and workflows. Contribute to the production of information products, supporting visualization and data accessibility in a customer centric manner. Evaluate and make recommendations regarding technical advances that improve productivity and quality, reduce flow times, and enhance operational surety. May assist in development of guidelines and standards for analytics and machine learning models, their deployment, and associated governance processes. Complete assignments with detailed instructions in the design and/or project management of new and current projects under technical guidance of higher level engineers or departmental management. Conducts activities in a safe and healthy manner and works in accordance with established HS&E requirements to ensure the protection of employees, the public, and the environment. Takes actions necessary to 'stop' work when an unsafe condition or action is identified. Every employee has the right and responsibility to stop work when unsafe conditions or actions are identified.
Requirements
BS in engineering from ABET accredited institution or Bachelor of Science degree in data science or related field, or two years of relevant experience in lieu of a degree. Ability to travel as determined by the needs of the business Ability to work remote, hybrid, or on-site as directed by management and is determined by the needs of the business Regular and reliable attendance is an essential function of this job United States Citizenship Ability to obtain and maintain a U.S. Department of Energy (DOE) security clearance (some positions require additional DOE designations)
We Value Demonstrated software-engineering discipline: version control, unit/integration testing, continuous integration-continuous deployment (CI/CD), and documentation of code and system architecture. Strong communication skills (verbal, written, presentation) to convey technical concepts to stakeholders, collaborate with cross-functional teams, and produce clear technical specifications and run-books. Proven ability to create actionable visualizations and dashboards that show model performance, data quality, and operational metrics for end-users and decision-makers. Solid understanding of Large Language Models (LLMs), Natural Language Processing (NLP), and Retrieval-Augmented Generation (RAG). This job description/job posting is not all inclusive and other duties may be assigned.
Benefits & conditions
We are focused on attracting, hiring and retaining talented people who power our mission. Our robust total rewards package recognizes performance, fuels development and supports flexibility. Key features include:
Medical, dental and vision insurance
Health Savings Account (HSA)
Industry leading 401(k) match
Generous paid time off
Flexible work schedule
Tuition Reimbursement