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Data Science Associate Jobs in Norfolk, VA (NOW HIRING)

Sellers & Associates

JR. Data Scientist

Chesapeake, VA · On-site

$80K - $84K/yr

Up to four (4) years of relevant experience or a BA/BS degree in Data Science, Computer Science, Information Systems, Engineering, Mathematics, or a related field Sellers & Associates LLC (S&A) is a ...

System One

AI RPA Solutions Architect

Hampton, VA · On-site

... Associate or Microsoft Power Automate Developer certification) * CompTIA Security+ or higher (DoD 8570 IAT Level II compliant such as CISSP, CASP+, or GIAC) TECHNICAL SKILLS AI/ML & Data Science

System One

AI RPA Solutions Architect

Hampton, VA · On-site

... Associate or Microsoft Power Automate Developer certification) * CompTIA Security+ or higher (DoD 8570 IAT Level II compliant such as CISSP, CASP+, or GIAC) TECHNICAL SKILLS AI/ML & Data Science

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All JobsData Science Associate JobsData Science Associate Jobs in Norfolk, VA

Data Science Associate information

See Norfolk, VA salary details

$55.6K

$65.8K

$124.8K

How much do data science associate jobs pay per year?

As of Jul 30, 2026, the average yearly pay for data science associate in Norfolk, VA is $65,830.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,100.00 and $57,600.00 per year, depending on experience, location, and employer.

How does a Data Science Associate typically collaborate with other departments or teams within an organization?

Data Science Associates frequently work cross-functionally, partnering with teams such as engineering, product management, and business analytics to understand project requirements, share findings, and implement data-driven solutions. Collaboration often involves translating complex data results into actionable insights for non-technical stakeholders, ensuring alignment on project goals and deliverables. This role requires strong communication skills, as associates routinely participate in meetings, present analyses, and gather feedback to refine their models or analyses. Effective teamwork helps ensure that data science initiatives support broader business objectives.

Is 40 too late for data science?

Age is not a barrier to becoming a data science associate; many professionals transition into data science later in their careers. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, regardless of age.

Is an Associates in data science worth it?

An associate's degree in data science can provide foundational skills in data analysis, programming, and statistics, which may help entry-level candidates qualify for junior data science roles. However, many employers prefer candidates with a bachelor's degree or higher, and practical experience or certifications in tools like Python, R, or SQL can enhance job prospects. The value depends on career goals and the specific requirements of potential employers.

What can I do with an associate's degree in data science?

A Data Science Associate with an associate's degree can work as a data analyst, supporting data collection, cleaning, and basic analysis using tools like Excel, SQL, and Python. They often assist in generating reports, visualizations, and insights under supervision, and may pursue certifications to enhance their skills for more advanced roles.

What are Data Science Associates?

Data Science Associates are early-career professionals who support data-driven projects by collecting, cleaning, analyzing, and interpreting large datasets. They typically work under the guidance of more experienced data scientists and help build predictive models, generate reports, and provide insights to inform business decisions. This role often requires proficiency in programming languages like Python or R, familiarity with statistical methods, and strong problem-solving skills. Data Science Associates play a crucial part in transforming raw data into actionable information for organizations.

What is the role of an associate data scientist?

An associate data scientist supports data analysis and modeling tasks by cleaning and processing data, developing algorithms, and creating visualizations. They often work under supervision to assist in building predictive models and may use tools like Python, R, or SQL to analyze data and generate insights.

What are the key skills and qualifications needed to thrive as a Data Science Associate, and why are they important?

To thrive as a Data Science Associate, you need strong analytical skills, a solid foundation in statistics and mathematics, and proficiency in programming languages like Python or R, often supported by a degree in data science, computer science, or a related field. Familiarity with machine learning frameworks, data visualization tools, and database systems such as SQL is typically required. Excellent problem-solving abilities, effective communication, and collaboration skills help you translate complex data insights into actionable business strategies. These skills are vital for extracting meaningful value from data and supporting data-driven decision-making within organizations.

What is the difference between Data Science Associate vs Data Analyst?

AspectData Science AssociateData Analyst
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; some roles prefer certifications in data analysis or programmingBachelor's degree in Statistics, Mathematics, or related field; often no advanced certifications required
Work EnvironmentCollaborates with data scientists and engineers; involved in building models and algorithmsFocuses on data collection, cleaning, and reporting; supports decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms for data-driven projectsCommon across various industries for business insights and reporting

The Data Science Associate role typically involves more technical work like building models and applying machine learning, whereas Data Analysts focus on interpreting data and creating reports. Both roles require strong analytical skills, but Data Science Associates often have a deeper understanding of programming and statistical modeling.

What are the most commonly searched types of Data Science jobs in Norfolk, VA? The most popular types of Data Science jobs in Norfolk, VA are:
What job categories do people searching Data Science Associate jobs in Norfolk, VA look for? The top searched job categories for Data Science Associate jobs in Norfolk, VA are:
What cities near Norfolk, VA are hiring for Data Science Associate jobs? Cities near Norfolk, VA with the most Data Science Associate job openings:
Data Science Associate jobs near you
Infographic showing various Data Science Associate job openings in Norfolk, VA as of July 2026, with employment types broken down into 1% As Needed, 67% Full Time, 30% Part Time, 1% Temporary, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $65,830 per year, or $31.6 per hour.

Associate Lab Director, Data & Computational Science

Jefferson Lab

Newport News, VA • On-site

$260K - $357K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Job description

At Jefferson Lab, you'll champion cutting-edge science and operational excellence while shaping the future of discovery. Join us and make your mark - where excellence meets purpose, and great minds truly matter.
The good-faith pay range for this role is $260,104 - $357,643 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:
The Associate Laboratory Director, Data & Computational Science (ALD, Data and Computational Science) provides strategic and operational leadership for the High-Performance Data Facility (HPDF) and the Laboratory's data and computational science enterprise. This role is responsible for delivering world-class HPDF operations while advancing innovative research and development in scientific computing, data science, and AI-enabled discovery. The ALD, Data and Computational Science will oversee major divisions in scientific computing, scientific data, and the Data Office. In this role, the ALD, Data and Computational Science will be instrumental in positioning data and computation as foundational drivers of scientific excellence and innovation and enable the seamless integration of computation, theory, and experiment for a future multi-purpose laboratory. A central focus of this position is leading the transition of HPDF from a major project to full operational status, ensuring its success as a premier DOE user facility. Through visionary leadership, strong partnerships, and disciplined execution, the ALD, Data and Computational Science will establish HPDF as a transformative capability that advances discovery, strengthens national scientific leadership, and delivers enduring impact for the Laboratory and its user community.
In this job you will:
  • Provide leadership and oversight to ensure the successful, reliable and safe operation of the Data & Computational Science capability with divisions in scientific computing and scientific data, and the data office.
  • Collaborate with the HPDF Project Office to ensure support and execution of the HPDF DOE O 413.3b project and prepare for enduring operations of the HDPF capability and associate User Program.
  • Develop mechanisms to support users to address critical research challenges, realize major scientific breakthroughs and develop cutting-edge particle detectors.
  • Assess the changing Data & Computational Science needs of the physics user community.
  • Maintain strong and respectful relationships with the major computing sponsor, Advanced Scientific Computing Research (ASCR).
  • Lead division-wide talent strategies by championing leadership development, robust succession planning, and continuous performance coaching.
  • Meet milestones for ongoing projects, including HPDF.
  • Serve as a member of the Directorate, sharing responsibility for the excellence in science and technology, operational excellence, and community engagement at TJNAF.
  • Work with Directorate and Lab Director's Office to identify and implement other Laboratory research priorities, including thorough strategic use of LDRD (Laboratory-Directed Research and Development).
  • Create and nurture an environment that promotes and embraces a multi-faceted workforce and champions the TJNAF values of impact, teamwork, safety, integrity and service.
  • Provide Data & Computational Science perspectives on Laboratory-Level decisions and key Laboratory committees.
  • Lead self-assessments, planning and tracking for Data & Computational Science elements associated with the Laboratory Agenda, Annual Laboratory Plan, and other performance tools.
  • Implement management systems, operations, safety, compliance, and performance assessments across Data & Computational Science, using these systems to steward the capability.

Lead - Supervisory - Management
  • Perform line management of the Data & Computational Science leadership, including Scientific Computing, Scientific Data, and the Data Office.
  • Identify key organizational staffing needs, recruit and develop S&T staff to be future leaders/mentors.
  • Lead and manage, through direct report and matrixed staff, the Scientific Computing and Scientific Data divisions and the Data Office.

Experience
  • Required: 20 or more years International recognition and demonstrated accomplishments
  • Required: 5 or more years Demonstrated executive management experience, including developing and leading large complex and multidisciplinary research programs and/or user facilities
  • Required: Demonstrated experience of successfully developing, implementing, and executing scientific strategy with engagement from critical stakeholders
  • Required: Experience communicating with key stakeholders, clients, program sponsors, internal staff, and the security/intelligence community
  • Required: Proven commitment to safety and integrity
  • Preferred: Track record of using data and computational science capabilities for scientific discovery

Education
  • Required: Ph.D.

Experience and Education Exchange
Education above the minimum may not be substituted for experience.
Knowledge, Skills, and Abilities
  • Extensive knowledge of data and computational science capabilities for scientific discovery.
  • Ability to lead and manage complex technical scope.
  • Ability to establish priorities, assess competing resource demands and make decisions that optimize performance.
  • Familiarity with the Department of Energy.
  • Proficiency in financial analysis and forecasting.
  • Strong analytical, writing, and speaking skills with the ability to organize, analyze, and implement complex topics and initiatives, with attention to detail.
  • Capable of handling multiple competing priorities in a complex R&D environment.
  • Commitment to safety, high standard of ethics, and integrity.

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 campus is located in southeastern Virginia amidst 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 recruiting@jlab.org or contact Human Resources by calling (757) 269-7100 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.

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