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

Altagrove LLC

Data Science

Norfolk, VA · On-site

... management capabilities. * Develop scalable data architectures, metadata enrichment pipelines ... Strong proficiency in Python and experience with modern data science and engineering frameworks.

Varsity Tutors

Data Science Tutor

Virginia Beach, VA · Remote

$18 - $40/hr

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Varsity Tutors

Data Science Tutor

Norfolk, VA · Remote

$18 - $40/hr

Emphasizes translating business questions into analytical frameworks and connects data science to product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

NATO

Staff Officer (Data Science)

Norfolk, VA

The Communication Directorate is responsible for the management of information activities and ... Minimum of 4 years post-related experience relating to data science, analytics, AI or a related ...

NATO

Staff Officer (Data Science)

Norfolk, VA · On-site

The Communication Directorate is responsible for the management of information activities and ... Minimum of 4 years post-related experience relating to data science, analytics, AI or a related ...

Frontier Technology Inc

Data Scientist

Norfolk, VA · On-site

... management reviews, and other meetings as required. Education/Qualifications * Must have an active U.S. Department of Defense Secret Clearance. * 4+ years of data science experience with a Bachelor ...

Frontier Technology Inc.

Data Scientist

Norfolk, VA · On-site

... management reviews, and other meetings as required. Education/Qualifications * Must have an active U.S. Department of Defense Secret Clearance. * 4+ years of data science experience with a Bachelor ...

Frontier Technology Inc.

Data Scientist

Norfolk, VA · Hybrid

... management reviews, and other meetings as required. Education/Qualifications * Must have an active U.S. Department of Defense Secret Clearance. * 4+ years of data science experience with a Bachelor ...

Frontier Technology Inc.

Data Scientist

Norfolk, VA · Hybrid

... management reviews, and other meetings as required. Education/Qualifications * Must have an active U.S. Department of Defense Secret Clearance. * 4+ years of data science experience with a Bachelor ...

CACI International, Inc.

Data Scientist

Norfolk, VA · On-site

  • Medical

  • Retirement

  • PTO

Science Time Type: Full time Minimum Clearance Required to Start: Secret Employee Type: Regular ... As a Lead, you will manage the day-to-day execution of data projects, provide technical oversight ...

MI Technical Solutions

Data Scientist

Chesapeake, VA · On-site

$100K - $135K/yr

Design, build, test, blend, manage, and optimize all types of relevant data utilizing numerous sources, some described above. * Use statistical analysis and other data science methodologies to ...

Dovel Technologies, Inc

Data Scientist

Norfolk, VA · On-site

$70 - $90/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Job Family:**Data Science Consulting**Travel Required:**Up to 10%**Clearance Required:**Active ... management data, as well as policy data. The data analyst will be responsible for all of the ...

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

Data Science Manager information

See Norfolk, VA salary details

$30K

$94K

$166.4K

How much do data science manager jobs pay per year?

As of Aug 19, 2026, the average yearly pay for data science manager in Norfolk, VA is $93,992.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,900.00 and $121,400.00 per year, depending on experience, location, and employer.

What is a data science manager?

A Data Science Manager leads a team of data scientists to develop and implement data-driven solutions for business challenges. They oversee project timelines, ensure the quality of data analysis, and collaborate with cross-functional teams to drive decision-making. In addition to technical expertise, they require strong leadership, communication, and strategic thinking skills. Their role bridges the gap between data science initiatives and business objectives, ensuring the team's work aligns with company goals.

What does a data science manager do?

As a Data Science Manager, your daily responsibilities typically include overseeing a team of data scientists and analysts, setting project priorities, and ensuring the timely delivery of data-driven solutions. You will often collaborate with cross-functional teams, such as engineering, product, and business stakeholders, to define problems, scope solutions, and communicate analytical insights. Your role also involves mentoring team members, reviewing code and analysis, and driving best practices in data science methodologies. This position requires balancing technical project oversight with team leadership and strategic business alignment.

What skills and qualifications are needed to be a data science manager?

To thrive as a Data Science Manager, you need strong analytical skills, experience in machine learning and data analytics, and a background in statistics or computer science, often supported by an advanced degree. Familiarity with tools like Python, R, SQL, cloud platforms, and experience managing data science projects are highly valued, and certifications such as Certified Analytics Professional (CAP) can be advantageous. Excellent leadership, project management, and communication skills are crucial for guiding teams and translating technical findings for stakeholders. These abilities ensure effective team performance, successful project delivery, and the alignment of data science initiatives with organizational goals.

What is the role of a data science manager?

A data science manager oversees data science teams, guiding project priorities, setting strategic goals, and ensuring the effective use of data analysis and modeling techniques. They coordinate with stakeholders, manage resources, and often have expertise in programming, statistical methods, and data tools to support decision-making processes.

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 Manager jobs in Norfolk, VA look for?

The top searched job categories for Data Science Manager jobs in Norfolk, VA are:

What cities near Norfolk, VA are hiring for Data Science Manager jobs?

Cities near Norfolk, VA with the most Data Science Manager job openings:

Data Science Manager jobs near you
Infographic showing various Data Science Manager job openings in Norfolk, VA as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 20% Part Time, and 1% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $94,024 per year, or $45.2 per hour.

Data Science

Altagrove LLC

Norfolk, VA • On-site

Full-time

Re-posted 18 days ago

Job description

Who we are:


Altagrove delivers smart and innovative technology solutions that create competitive advantages for our customers and their missions. Our focus areas include Space, Connectivity, Cyber, Cloud, Analytics, and Research & Development. As we continue to grow, Altagrove is actively recruiting for a Data Scientist to join our energetic and entrepreneurial team that is executing on a variety of projects that are technology oriented. A successful candidate will bring a core area of expertise and a passion for learning and implementing new ideas in a start-up environment.


Follow us at - https://www.linkedin.com/company/altagrove


What you will do:


  • Design, develop, deploy, and maintain AI-enabled analytics solutions supporting operational and strategic mission objectives.
  • Build and optimize enterprise data pipelines, ingestion frameworks, transformation workflows, and integration services supporting analytics and AI platforms.
  • Develop machine learning models, predictive analytics capabilities, and decision-support solutions using structured and unstructured data.
  • Design and implement Large Language Model (LLM) solutions, Retrieval-Augmented Generation (RAG) architectures, vector databases, and AI-enabled knowledge management capabilities.
  • Develop scalable data architectures, metadata enrichment pipelines, indexing services, and retrieval systems supporting enterprise knowledge exploitation.
  • Collaborate with mission stakeholders, engineers, and technical teams to identify high-value AI and data-driven use cases.
  • Conduct data exploration, feature engineering, model training, validation, testing, and performance optimization activities.
  • Design and implement ETL/ELT processes supporting operational, analytical, and machine learning workloads.
  • Develop dashboards, visualizations, reports, and analytical products that communicate insights to technical and non-technical stakeholders.
  • Support cloud-native and hybrid data environments leveraging AWS, Azure, Kubernetes, and modern data engineering technologies.
  • Implement data quality controls, monitoring solutions, security controls, and governance practices across enterprise data environments.
  • Work closely with Cloud Engineers, DevSecOps Engineers, and Software Developers to support end-to-end solution delivery.
  • Research emerging AI, machine learning, and data engineering technologies and recommend innovative applications for customer missions.
  • Support technical documentation, architecture development, operational procedures, training materials, and knowledge transfer activities.


What you will bring:


  • Experience developing and deploying advanced analytics, machine learning, artificial intelligence, or enterprise data engineering solutions within government, defense, intelligence, or highly regulated environments.
  • Strong proficiency in Python and experience with modern data science and engineering frameworks.
  • Experience with machine learning frameworks such as Scikit-Learn, TensorFlow, PyTorch, or similar technologies.
  • Experience designing and maintaining enterprise data pipelines, ETL/ELT workflows, and data integration architectures.
  • Familiarity with Large Language Models (LLMs), Generative AI, Retrieval-Augmented Generation (RAG), vector databases, embeddings, and prompt engineering concepts.
  • Experience working with SQL, NoSQL, data lakes, data warehouses, and cloud-native data platforms.
  • Experience with AWS, Azure, Google Cloud, or hybrid cloud environments.
  • Understanding of data governance, metadata management, data quality, security, and compliance principles.
  • Experience with containerization technologies, Kubernetes, DevSecOps practices, and Infrastructure-as-Code is highly desirable.
  • Strong analytical, problem-solving, and communication skills.
  • Ability to collaborate effectively across multidisciplinary engineering and mission teams.
  • Experience supporting NATO, DoD, Intelligence Community, or other national security organizations is highly desired.
  • Bachelor’s or Master’s degree in Data Science, Computer Science, Data Engineering, Mathematics, Statistics, Engineering, Information Systems, or a related discipline.
  • Active Secret Clearance required; TS/SCI or NATO Secret preferred.
  • Exceptional attention to detail and organizational skills.