DCS Data Scientist II - Data Steward

Phase2 Technology; Newport News (VA); On-site; USD 92,000 - 145,000; Full time

Benefits offered by this job

Medical, Dental, and Vision Plans

Flexible Spending Accounts

Paid Time-off and Leave Programs

401(k) Plan with lab contribution

Flexible Work Arrangements

Job summary

Jefferson Lab is seeking a mission-driven researcher to advance FAIR and AI-ready data across national research infrastructure. You will contribute to metadata, provenance, and data architecture while engaging with HPDF early users to shape governance and technical requirements.

The role sits in the Office of the Chief Data Officer within the Data and Computational Sciences Directorate, focusing on lab-wide data stewardship and standards development.

Qualifications

• Proficiency in Python and data analytics libraries.
• Experience with data governance, metadata standards, and data lifecycle.
• Bachelor's degree in CS, Math, or related field.

Responsibilities

• Research and develop FAIR and AI-ready data models and workflows.
• Contribute to metadata, provenance, and data architecture improvements.
• Engage with HPDF early users to inform design and governance requirements.
• Support documentation and communication of findings to stakeholders.
• Collaborate on cross-disciplinary projects to advance data stewardship.

Skills

Python

data science

metadata standards

proven þing

Education

Bachelor's Degree in Computer Science or related field

Tools

scikit-learn

Pandas

PyTorch/TensorFlow

Job description

At Jefferson Lab,you'llchampioncutting-edgescience and operational excellence while shaping the future of discovery. Join us and make your mark - where excellence meets purpose, andgreat mindstruly

The good-faith pay range for this role is $91,800 - $145,050 per year. Actual compensation may vary and may be above the posted range based on factors such as a candidate's skills, experience, education, certifications, and work location.

What your job will be like:

Join Us in Shaping the Future of Scientific Discovery

Are you driven by the belief that high quality, well governed data accelerates breakthrough science? Do you want your work to directly influence national research infrastructure and empower scientists across disciplines? We are seeking an experienced, mission focused researcher who is passionate about FAIR (Findable, Accessible, Interoperable, Reusable) data, stewarding complex scientific information, and advancing the practices that make research data AI ready and highly actionable.

About the Role

This position sits in the Office of the Chief Data Officer in the Data and Computational Sciences Directorate. This is a unique opportunity to engage in project-focused research and efforts that advance the FAIR and AI-readiness of data produced at the lab and beyond. This position also contributes to the High Performance Data Facility (HPDF)--a first-of-its-kind, distributed DOE ASCR user facility that will define the future of scientific data management and AI enabled discovery. As part of the HPDF early user engagement team, you will inform the technical architecture and organizational strategy of a national facility dedicated to transforming how scientific data is stored, governed, shared, and used.

Key Responsibilities

Research and Data Management: Contribute to R&D in FAIR, machine actionable, and AI ready data models and workflows that enable compliant, high value research. Implement and improve metadata, provenance, data architecture, stewardship frameworks, and data life cycle practices for both research and operational data. HPDF Early User Engagement & Design: Collaborate with early HPDF user communities to identify governance needs and translate them into technical and policy requirements. Inform the design of HPDF's organizational structures, data governance models, metadata/cataloging approaches, and user-facing data services. Policy, Governance, & Standards Development: Develop specialized expertise in data governance, FAIR and AI-ready data. Help shape and implement lab wide and DOE-level standards, FAIR initiatives, and cross-laboratory data interoperability efforts.

Ideal Candidate Profile:

We are looking for someone who is inspired by mission-driven scientific work and the opportunity to strengthen the national ecosystem of research data. Thrives at the intersection of data science, research infrastructure, and organizational strategy. Understands FAIR principles and sees their implementation as a catalyst for discovery and AI-accelerated science. Has experience with metadata standards, provenance capture, data lifecycle design, or scientific data management. Communicates effectively with both researchers and technical staff--describing technical opportunities and impact of research findings. Is energized by contributing to foundational national projects like HPDF that will support the next era of AI-enhanced science.

In this job you will:

• Develop and maintain expertise in research data management, stewardship, FAIR and AI ready data, especially for DOE mission areas. Recommend improvements and implement enhancements to data and software management for lab and HPDF needs.
• Communicate technical material and impact of research findings in written and oral presentations in collaboration meetings, to lab leadership, and in professional conferences and other venues.
• Collaborate on projects to enhance FAIR data; gather requirements, design solutions, develop meta/data models and ontologies, and define success metrics. Interact with HPDF early users and informs HPDF design.
• Identify new research questions and proposes solutions to challenges. Contribute to research proposals and research strategic planning for the office.
• Manage work with clear documentation, formal standards. Demonstrate best practices in information sharing and protection.

Experience

• Required: 3 or more years Relevant IT Field or Data Science Or
• Required: 3 or more years As a data scientist in a research setting. Familiarity with research data processing and analysis workflows
• Required: Experience with contributing and leading tasks on major projects with multi-disciplinary teams.
• Required: Experienced with AI-assisted programming, AI-supportive development workflows, and AI skills development.

Education

• Required: Bachelor's Degree Computer Science, Data Science, Applied Mathematics, Computer Engineering, Or closely related field

Experience and Education Exchange

Education above the minimum may be substituted for experience. Relevant experience may not be substituted for education.

Knowledge, Skills, and Abilities

• Proficiency in Python and familiarity with publicly available technical libraries for data analytics (e.g. scikit-learn, Pandas), deep learning (e.g. Pytorch, Tensorflow) and optimization tools.
• Proactive, highly motivated self-starter.
• Ability to operate computer equipment in an office or laboratory environment.
• Ability to clearly communicate and report the progress on tasks and projects in writing and through presentations.
• Strong interpersonal skills and ability to effectively work on collaborative project teams.
• Self-motivated and works independently as well as part of a team. Ability to manage up, alerting supervisor and other project staff when work is waiting on additional information or when there are issues threatening deadlines or other milestones.
• Strong organizational skills.
• Ability to work with large datasets and mine relevant information for use in AI/ML applications.
• Sustain strong coding skills and uses AI assisted development.

About Jefferson Lab

Join a community with a common purpose of solving the most challenging scientific and engineering problems of our time. The Jefferson Lab campusis located insoutheasternVirginiaamidst a vibrant and growing technology community.

A career at Jefferson Lab is more than a job. You will be part of "big science" and work alongside top scientists and engineers from around the world unlocking the secrets of our visible universe. Managed by SURATech, LLC, Thomas Jefferson National Accelerator Facility is entering an exciting period of mission growth and is seeking new team members ready to apply their skills and passion to have an impact. You could call it work, or you could call it a mission. We call it a challenge. We do things that will change the world.

Total Rewards at Jefferson Lab

At Jefferson Lab, we believe that a comprehensive employee benefits program is an important and meaningful part of the compensation employees receive. Our benefits program includes, but is not limited to:

* Medical, Dental, and Vision Care Plans * Flexible Spending Accounts

* Paid Time-off and Leave Programs (Paid Parental, vacation, holidays, and sick leave)

* 401(k) Plan - 9% Lab Contribution; 100% vested * Flexible Work Arrangements

(Remote & Alternate Work Schedules available)

* Tuition Assistance, Training and Professional Development Programs

* Live near the waterways of the Chesapeake Bay region with access to nearby beaches,

mountains, and all major metropolitan centers on the East Coast

SURATech, LLC manages and operates the Thomas Jefferson National Accelerator Facility (Jefferson Lab). SURATech is an Equal Opportunity Employer.

SURATech is committed to providing reasonable accommodation for people with disabilities (unless doing so will result in an undue hardship). If you need a reasonable accommodation for any part of the employment process, please send an e-mail to [e-mail] or contact Human Resources by calling [phone] and selecting option 1 between 8 am - 5 pm EST to provide the nature of your request.

Employment with SURATech is conditional upon DOE approval if at any time during your employment you are participating in a Foreign Government Talent Recruitment Program or Affiliated activity. Generally, such programs/activities include any foreign-state-sponsored attempt to acquire U.S.-funded scientific research through programs run or funded by the government that target scientists, engineers, students, academics, researchers, and entrepreneurs of all nationalities working or educated in the United States. This includes positions or appointments, both domestic and foreign, titled academic, professional, or institutional appointments whether or not remuneration is received and whether full-time, part-time or voluntary.