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Senior Deep Learning Data Scientist Jobs in Norfolk, VA

Data Scientist (Senior)

Hampton, VA · On-site

$80K - $128K/yr

Data Scientist (Senior) Job Locations US-VA-Hampton Requisition ID 2026-165410 Position Category ... Apply machine learning algorithms , statistical modeling , and predictive analytics to solve ...

Data Scientist (Senior)

Hampton, VA · On-site

$80K - $128K/yr

The Data Scientist will play a critical role in leveraging advanced data analytics, machine ... Apply machine learning algorithms , statistical modeling , and predictive analytics to solve ...

The Data Scientist will play a critical role in leveraging advanced data analytics, machine ... Apply machine learning algorithms , statistical modeling , and predictive analytics to solve ...

Data Scientist (Senior)

Hampton, VA · On-site

$80K - $128K/yr

The Data Scientist will play a critical role in leveraging advanced data analytics, machine ... Apply machine learning algorithms , statistical modeling , and predictive analytics to solve ...

Senior Data Scientist As a Senior Data Scientist, you will apply expert knowledge of data science and quantitative analytical methods to organize, analyze, interpret, and derive meaningful insight ...

... learning models, including recommendation engines and automated scoring systems. • Build ... senior-level experience in data science • 10 years or relevant data science experience; at least ...

... learning (ML) solutions, and develop AI-driven tools to automate analytical processes and improve ... senior-level experience in data science. Minimum Years of Experience: 10 years or relevant data ...

Design and develop machine learning models, including recommendation engines and automated scoring ... senior-level experience in data science. Minimum Years of Experience: 10 years or relevant data ...

Design and develop machine learning models, including recommendation engines and automated scoring ... senior-level experience in data science. Minimum Years of Experience: 10 years or relevant data ...

... learning (ML) solutions, and develop AI-driven tools to automate analytical processes and improve ... senior-level experience in data science. Minimum Years of Experience: 10 years or relevant data ...

Be Seen First

Norfolk, VA National Capitol Contracting is seeking Data Scientists of Junior, Senior and SME level ... Experience in developing machine learning models. * Results-driven, creative, and analytical.

Data Scientist

Hampton, VA · On-site

$99K - $225K/yr

... learning, and semantic technologies in mission-critical environments. We deliver cutting-edge ... Ultimately, you'll provide a deep understanding of the data, what it all means, and how it can be ...

... learning, and semantic technologies in mission-critical environments. We deliver cutting-edge ... Ultimately, you'll provide a deep understanding of the data, what it all means, and how it can be ...

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Showing results 1-20

Senior Deep Learning Data Scientist information

See Norfolk, VA salary details

$40.2K

$137.8K

$194.5K

How much do senior deep learning data scientist jobs pay per year?

As of May 28, 2026, the average yearly pay for senior deep learning data scientist in Norfolk, VA is $137,837.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,700.00 and $161,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Senior Deep Learning Data Scientist, and why are they important?

To thrive as a Senior Deep Learning Data Scientist, you need advanced knowledge in machine learning, deep learning frameworks, statistical analysis, and a relevant degree such as a master's or PhD in computer science or a related field. Expertise in programming languages like Python, experience with TensorFlow or PyTorch, and familiarity with cloud platforms are typically required, along with certifications in AI or data science being advantageous. Strong problem-solving abilities, collaboration, and effective communication help you lead projects and translate complex findings to stakeholders. These skills are essential to drive innovation, build impactful models, and ensure projects deliver business value in a rapidly evolving field.

How do Senior Deep Learning Data Scientists typically collaborate with cross-functional teams during a project?

Senior Deep Learning Data Scientists frequently work alongside data engineers, software developers, and domain experts to deliver end-to-end machine learning solutions. They are responsible for translating complex business problems into data-driven approaches, ensuring that models are aligned with project objectives. Regular meetings, code reviews, and knowledge-sharing sessions are common to synchronize efforts and integrate models into production systems smoothly. This collaboration is critical for maintaining model performance and scalability, and it also helps bridge the gap between technical and non-technical stakeholders.

What does a Senior Deep Learning Data Scientist do?

A Senior Deep Learning Data Scientist designs, develops, and implements advanced deep learning models to solve complex problems in areas such as computer vision, natural language processing, and predictive analytics. They lead data-driven projects, collaborate with cross-functional teams, and mentor junior data scientists. In addition to building and optimizing neural networks, they are responsible for interpreting data, refining algorithms, and ensuring the solutions are scalable and robust for real-world applications.

What is the difference between Senior Deep Learning Data Scientist vs Machine Learning Engineer?

AspectSenior Deep Learning Data ScientistMachine Learning Engineer
Required CredentialsAdvanced degree in CS, Data Science, or related field; experience in deep learning frameworksDegree in CS, Software Engineering, or related; strong programming skills in Python, Java, or C++
Work EnvironmentResearch-focused, data analysis, model development, experimentationDeployment, system integration, scalable model production
Employer & Industry UsageTech companies, research labs, AI startupsTech firms, SaaS companies, AI product development

The main difference is that Senior Deep Learning Data Scientists focus on developing and researching deep learning models, while Machine Learning Engineers primarily implement, optimize, and deploy these models into production systems. Both roles require strong technical skills, but their day-to-day tasks and focus areas differ.

What are popular job titles related to Senior Deep Learning Data Scientist jobs in Norfolk, VA? For Senior Deep Learning Data Scientist jobs in Norfolk, VA, the most frequently searched job titles are:
What job categories do people searching Senior Deep Learning Data Scientist jobs in Norfolk, VA look for? The top searched job categories for Senior Deep Learning Data Scientist jobs in Norfolk, VA are:
What cities near Norfolk, VA are hiring for Senior Deep Learning Data Scientist jobs? Cities near Norfolk, VA with the most Senior Deep Learning Data Scientist job openings:
Data Scientist (Senior)

Data Scientist (Senior)

Peraton

Hampton, VA • On-site

$80K - $128K/yr

Other

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


Peraton rating

8.3

Company rating: 8.3 out of 10

Based on 52 frontline employees who took The Breakroom Quiz

39th of 204 rated it services


Job description


Data Scientist (Senior)
Job Locations
US-VA-Hampton
Requisition ID
2026-165410
Position Category
Scientific, Research & Analysis
Clearance
Top Secret/SCI
Responsibilities

We are seeking a highly skilled and innovative Data Scientist to join our team at Joint Base Langley-Eustis (JBLE), supporting the Air Combat Command (ACC). The Data Scientist will play a critical role in leveraging advanced data analytics, machine learning, and statistical modeling to support intelligence, surveillance, and reconnaissance (ISR) operations. This position requires expertise in data science methodologies, tools, and technologies to design how data will be stored, consumed, integrated and managed by different units and digital systems.

Key Responsibilities:

    Develop and implement data science solutions to support ISR operations and decision-making processes.
  • Determine, create and populate optimal data architectures, structures, and systems.
  • Apply machine learning algorithms, statistical modeling, and predictive analytics to solve mission-critical challenges.
  • Design and maintain data pipelines, ensuring the efficient collection, processing, and storage of structured and unstructured data.
  • Identify and address data quality issues, ensuring the accuracy and reliability of analytical outputs.
  • Stay current with emerging data science technologies, tools, and methodologies to enhance analytical capabilities.
  • Ensure compliance with all security protocols, classification guidelines, and organizational policies.

Qualifications

Required Qualifications:

  • Minimum of 12 years experience w/o a degree or 10 years with AS/AA or 8 years with BS/BA degree or 6 years experience with MS/MA
  • DOD 8140 compliance based on DCWF code 423 intermediate level
  • Technical Expertise:
  • Proficiency in data analysis, machine learning, and statistical modeling.
  • Experience with programming languages such as Python, R, or SQL.
  • Familiarity with data visualization tools such as Tableau, Power BI, or D3.js.
  • Strong understanding of data engineering concepts, including ETL processes and database management.
  • Skills:
  • Exceptional analytical, critical thinking, and problem-solving skills.
  • Strong written and verbal communication skills for producing reports and presenting findings.
  • Ability to work collaboratively in a fast-paced, mission-driven environment.
  • Security Clearance: Active Top Secret/SCI clearance is required.

Preferred Qualifications:

  • Experience supporting Air Combat Command (ACC) or similar ISR organizations.
  • Knowledge of ISR operations and intelligence data sources.
  • Familiarity with cloud computing platforms such as AWS, Azure, or Google Cloud.
  • Certifications such as Certified Data Scientist (CDS), AWS Certified Machine Learning Specialty, or equivalent.
  • Experience Level: Minimum 10 years of experience related to the specific labor
    category with at least a portion of the experience within the last 2 years.
  • Education: Master's degree from a college or university accredited by an agency recognized by the U.S. Department of Education; or have bachelor's degree from a college or university accredited by an agency recognized by the U.S. Department of Education and an additional 5 years of related senior experience, for a total of 15 years, as a substitute to the master's degree

Why Join Us?

  • Be part of a mission-critical team supporting the U.S. Air Force's ISR and data-driven operations.
  • Work in a dynamic and collaborative environment at Joint Base Langley-Eustis, a hub for Air Force intelligence and innovation.
  • Access to professional development opportunities and career growth within the data science and intelligence community.

#AFACC

Peraton Overview

Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world's leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can't be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we're keeping people around the world safe and secure.

Target Salary Range
$80,000 - $128,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual's experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.
EEO
EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.

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About Peraton

Sourced by ZipRecruiter

At Peraton, we re at the forefront of delivering the next big thing every day. We re the partner of choice to help solve some of the world s most daunting challenges, delivering bold, new solutions to keep people around the world safer and more secure.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Herndon, VA, US

Year founded

2017