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

Ama Inc

Research Scientist

Hampton, VA · On-site

$90 - $125/hr

This position integrates scientific programming, data analysis, time series analysis, and ... Analytical Mechanics Associates (AMA) is proud of our customer relationships, our diverse and ...

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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 Aug 19, 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.

What is a data science associate?

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 are the key skills and qualifications needed to thrive as a data science associate?

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.

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.

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 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 advance into more specialized roles.

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 August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $65,830 per year, or $31.6 per hour.

Associate Director, AI Strategy and Solution Architecture with Security Clearance

ECS

Hampton, VA • On-site

Other

Posted 2 days ago

New

Job description

Job Description Everforth ECS is seeking an Associate Director to work remotely . ECS Federal is seeking a results-driven Associate Director of Digital Transformation & Cloud Solutions to lead complex, high-impact IT modernization initiatives across federal civilian agencies. ECS combines mission understanding with technical firepower to deliver real-world outcomes, providing frontier technology solutions in data and AI, cybersecurity, and digital transformation. The ideal candidate will serve as a trusted advisor to senior government executives, translating strategic vision into executable outcomes while building and leading high-performing teams in regulated, mission-critical environments. This role will support business development and capture efforts while driving innovation and excellence through research and development on emerging technologies and best practices. Key Responsibilities Strategic Leadership & Client Engagement * Lead large federal portfolios, driving cloud adoption strategy and digital transformation across cabinet-level agencies, including Department of Homeland Security (DHS) * Serve as a trusted advisor to senior government stakeholders, including C-suite executives at federal agencies * Develop and execute unsolicited proposals and whitepapers to position ECS Federal as a transformative partner for large-scale federal opportunities * Provide thought leadership, subject matter expertise, and innovative solutions to support ECS Federal's business development and capture efforts * Help ECS meet Federal agencies where they are to transform their customer experience efforts and create scalable, actionable strategies Program & Delivery Management * Manage the end-to-end lifecycle of multiple data/AI projects from planning/ideation through to deployment/implementation * Oversee post-sales delivery and technology implementation across multiple federal entities with varying cloud and IT maturity levels * Assess technical feasibility of proposed use cases by clarifying and analyzing requirements with data architects, SMEs, data engineers, and federal stakeholders * Lead end-to-end enterprise technology and process transformations impacting thousands of users and systems * Coordinate efforts with ECS Centers of Excellence (COE) and other corporate Cyber, Data, and AI SMEs to support use case development, roadmap and maturity development, and data integration Team Development & Organizational Excellence * Lead and develop cross-functional teams of 10-30+ technical and business resources (data architects, data engineers, developers, and functional staff) across on-site and distributed environments * Drive talent acquisition, executing interviews, hiring, and onboarding of high-caliber professionals * Maintain 100% training and certification compliance across teams * Foster a culture of collaboration and knowledge sharing among cybersecurity experts, researchers, and practitioners within ECS Federal to drive innovation and excellence Innovation & Continuous Improvement * Conduct research and development on emerging technologies and best practices to stay ahead of the curve and identify new opportunities for ECS Federal * Design and launch innovation initiatives to drive employee-driven ideation and executive-sponsored programs * Apply AI-enabled analytics and data-informed decision-making to improve delivery consistency and accelerate customer outcomes * Leverage expertise of ECS Federal employees to drive business success and growth * Establish ECS Federal as a thought leader in the industry through participation in conferences, workshops, and other industry events Salary Range: $200,000-$210-000 Required Skills * Must be a US Citizen * Must be able to obtain Public Trust Clearance * 15+ years of progressive experience in technology consulting, cloud solutions, or IT transformation * 7+ years managing IT/technology projects with experience managing technical and strategy teams in data science, data analytics, and data management * 5+ years leading large teams in federal or public sector environments * Demonstrated experience managing multi-million-dollar contracts * Proven track record delivering complex solutions for federal civilian agencies (DHS, DOT, or similar preferred) * Experience with cloud adoption strategies (AWS, Azure, or similar platforms) * Proficiency in various project management methodologies (Agile, Scrum, Waterfall, etc.) * Excellent verbal and written communication, leadership, team management, and presentation skills * Bachelor's degree in a relevant field (Technology, Business, or related discipline) Desired Skills * AWS Solutions Architect Associate or equivalent cloud certification * Project Management Professional (PMP) or SAFe Agilist (SA) certification * Understanding of data management, data governance, and how data is used within AI to drive decisions * Knowledge of AI/ML concepts, tools, and languages * Expertise in managing AI/ML and Generative AI initiatives, especially with AWS platforms and LLM technologies * Experience managing proof of concept/proof of value lifecycles * Experience with the Atlassian Suite (Jira/Confluence) * Experience building highly scalable platforms, products, or services #EverforthECS1 ECS Federal LLC is an equal opportunity employer and does not discriminate or allow discrimination on the basis any characteristic protected by law. All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, or local jurisdiction law. is the federal segment of , a $4B global organization with over 10,000 employees. Our nearly 3,500 professionals deliver advanced technology solutions in data and AI, cybersecurity, and enterprise transformation, serving defense, intelligence, and federal civilian agencies. Our work powers mission-critical outcomes, strengthens technology partnerships, and creates meaningful opportunities for our people. We are defined by a commitment to excellence in delivery, a culture of innovation, and an environment where talent can thrive and grow. We value: * Attracting and developing top talent and high-performing teams * Fostering a culture that is engaging, accountable, and mission-driven Meet the challenge. Make a difference with Everforth ECS!

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