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Senior Deep Learning Data Scientist Jobs in Washington

Socket.dev

Data Scientist

Chantilly, VA · On-site

$100 - $140/hr

... learning, deep learning, data visualizations, and data management. Depending on the specific ... Data Scientist, Level 3 (Senior) * Oversees data science techniques for cybersecurity solutions ...

VT Group (VTG)

Data Scientist

Chantilly, VA · On-site

... deep learning, data visualizations, and data management. • Depending on the specific position ... Senior) Functional Description: In addition to achieved duties described in Level 2, the Data ...

VTG

Data Scientist

Chantilly, VA

$165K - $210K/yr

... learning, deep learning, data visualizations, and data management. Depending on the specific ... Data Scientist Level 3 (Senior) Functional Description: In addition to achieved duties described in ...

VTG

Data Scientist

Chantilly, VA · On-site

$165K - $210K/yr

... learning, deep learning, data visualizations, and data management. Depending on the specific ... Data Scientist Level 3 (Senior) Functional Description: In addition to achieved duties described in ...

Unissant

Senior Data Scientist

Washington, DC · On-site

$130 - $150/hr

We are seeking a Senior Data Scientist to join our team in Washington, DC, in support of the ... Conceptualize, plan, design, and develop deep learning/AI algorithms for multi-objective ...

GRVTY

Data Scientist 2

Annapolis Junction, MD · On-site

... deep learning frameworks such as PyTorch and TensorFlow, with an added advantage if they have cyber ... data using elements of mathematics, statistics, computer science, and application specific ...

VTG

Data Scientist with Security Clearance

Chantilly, VA · On-site

$165K - $210K/yr

... learning, deep learning, data visualizations, and data management. Depending on the specific ... Data Scientist Level 3 (Senior) Functional Description: In addition to achieved duties described in ...

RIVIDIUM

Data Scientist- Senior

Quantico, VA · On-site

The ideal candidate will possess deep expertise in statistical modeling, machine learning, and big ... The Senior Data Scientist will lead end-to-end data science initiatives?from data collection and ...

STR

Senior Data Scientist

Arlington, VA

$140K - $190K/yr

... algorithms, deep learning, and statistical techniques to uncover patterns in social media ... The Role As a Senior Data Scientist , you will help research, develop, and integrate cutting-edge ...

Surescripts

Senior Data Scientist

Arlington, VA · On-site

The Senior Data Scientist will play a pivotal role in developing and implementing data-driven ... deep learning algorithms, and frameworks using tools like TensorFlow and PyTorch. Leverage model ...

RiVidium, Inc

Data Scientist- Senior

Quantico, VA · On-site

... Senior Data Scientist to transform complex data into actionable insights that drive strategic ... The ideal candidate will possess deep expertise in statistical modeling, machine learning, and big ...

asrcfh

Junior Data Scientist

Greenbelt, MD · On-site

Position Overview: Seeking a Data Scientist or Machine Learning with proven experience in ... Develop, implement, and optimize machine learning and deep learning models for scientific and real ...

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All JobsDeep Learning Data Scientist JobsSenior Deep Learning Data Scientist JobsSenior Deep Learning Data Scientist Jobs in Washington

Senior Deep Learning Data Scientist information

See Washington salary details

$27.1K

$148.9K

$218.4K

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

As of Aug 28, 2026, the average yearly pay for senior deep learning data scientist in Washington is $148,900.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,900.00 and $175,800.00 per year, depending on experience, location, and employer.

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 are the key skills and qualifications needed to thrive as a senior deep learning data scientist?

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 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 cities in Washington are hiring for Senior Deep Learning Data Scientist jobs?

Cities in Washington with the most Senior Deep Learning Data Scientist job openings:

Senior Deep Learning Data Scientist jobs near you

Data Scientist

Chantilly, VA • On-site

Socket.dev
Network Security • 1 - 10 employees
Learn more about Socket.devexternal

$100 - $140/hr

Other

Posted 22 days ago

Job description

Overview

VTG is looking for a Level 2 and Level 3 Data Scientist in Chantilly VA. (Note: position is contingent upon program award)

What will you do?

A Data Scientist represents an effective arbiter of strong technical knowledge and clear communication to inform decision makers and warfighters. Main responsibilities include a strong understanding of statistical methods, predictive modeling, machine learning, deep learning, data visualizations, and data management. Depending on the specific position, data scientists may also need knowledge of other fields such as cybersecurity or business analytics. They must be comfortable with regularly interacting with the customer/warfighter to receive feedback, guide future work, and present information to decision makers. The impact an experienced data scientist can have on an organization is immense, including automating manual processes, predicting future trends, and detecting anomalies.

Data Scientist, Level 2 (Intermediate)

  • Responsible for applying data science techniques for cybersecurity solutions.
  • May extract, transform, load, analyze, and interpret relevant IA data for timely analytic use, provide reports on patterns, anomalies, and potential security concerns, and support data management.
  • May use machine learning and statistical approaches, prepare visualizations (dashboards, graphs, presentations) to communicate recommendations.
  • May conduct/support data engineering and data management, assist with selecting appropriate analytical approaches towards automation.
  • Reviews and defines requirements for data science cybersecurity approaches.
  • Tools: AWS, Spark, Kafka, Tableau, Python (TensorFlow, PyTorch), R (tidyverse, RShiny), Splunk, Agile/Scrum/Jira/Confluence preferred.

Data Scientist, Level 3 (Senior)

  • Oversees data science techniques for cybersecurity solutions, building on Level 2 responsibilities.
  • Leads teams to extract, transform, load, analyze, and interpret IA data, provide reports on patterns, anomalies, and security concerns, and support data management.
  • Advises on machine learning and statistical approaches, presents visualizations, dashboards, graphs, and presentations to communicate recommendations.
  • Spearheads data engineering and data management, advises on appropriate analytical approaches toward automation.
  • Establishes requirements for data science cybersecurity approaches.
Do you have what it takes?

Requirements:

All positions require: TS/SCI with Poly

Level 2 Data Scientist Qualifications:

  • Bachelor’s degree or equivalent and five (5) years of relevant experience in data science, mathematics, statistics, business analytics, or equivalent quantitative field, preferably with exposure to cybersecurity applications and/or operations.
  • Strong knowledge of data visualizations, large language models (LLMs), and machine learning principles, techniques, and technologies.

Level 3 Data Scientist Qualifications:

  • Bachelor’s degree or equivalent and seven (7) years of relevant experience in data science, mathematics, statistics, business analytics, or equivalent quantitative field, preferably with exposure to cybersecurity applications and/or operations.
  • Expert knowledge of data visualizations, large language models (LLMs), and machine learning principles, techniques, and technologies.
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