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Remote Data Scientist Deep Learning Jobs in Reston, VA

Data Scientist TS/SCI (DC/NoVA) Virtualitics introduced Intelligent Exploration to the analytics ... learning model in a production environment. * 1-2 years of experience with SQL/NoSQL or other ...

Data Scientist

Washington, DC · On-site +1

$125K - $163K/yr

Applying advanced data science techniques including data extraction, transformation, cleaning ... Overseeing the preparation of reports using machine learning, programming, and data visualization ...

We seek a Mid-level Data Scientist to support a client in hybrid remote / Reston, VA . What you get ... Develop and refine predictive models and machine learning algorithms, including ensemble approaches ...

New

Data Scientist (Generative AI)

Mclean, VA · On-site +1

$125K - $160K/yr

Design and train advanced machine learning models, especially generative models like GANs, VAEs, or ... Deep knowledge of natural language processing techniques, including tokenization, embeddings ...

We are applying artificial intelligence, machine learning, and natural language processing to ... Use excellent data science practices to iteratively produce high performing models * Create ...

Applied Data Scientist

Arlington, VA · On-site +1

$120K - $170K/yr

Shift5 is seeking an Applied Data Scientist to join our growing Data Science team. In this role ... Flexible work & remote work policy  * Tax-deferred public transit benefits with Metro ...

New

Applied Data Scientist

Arlington, VA · On-site +1

$120K - $170K/yr

Shift5 is seeking an Applied Data Scientist to join our growing Data Science team. In this role ... Flexible work & remote work policy  * Tax-deferred public transit benefits with Metro ...

New

Lead and oversee the development of advanced machine learning models, ensuring their seamless ... per week remote/home. Office Location Options: * Louisville, KY * Boston, MA * New York, NY

Lead and oversee the development of advanced machine learning models, ensuring their seamless ... per week remote/home. Office Location Options: * Louisville, KY * Boston, MA * New York, NY

Lead and oversee the development of advanced machine learning models, ensuring their seamless ... per week remote/home. Office Location Options: * Louisville, KY * Boston, MA * New York, NY

Lead and oversee the development of advanced machine learning models, ensuring their seamless ... per week remote/home. Office Location Options: * Louisville, KY * Boston, MA * New York, NY

Lead and oversee the development of advanced machine learning models, ensuring their seamless ... per week remote/home. Office Location Options: * Louisville, KY * Boston, MA * New York, NY

Lead and oversee the development of advanced machine learning models, ensuring their seamless ... per week remote/home. Office Location Options: * Louisville, KY * Boston, MA * New York, NY

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Remote Data Scientist Deep Learning information

See Reston, VA salary details

$39K

$127.7K

$204.4K

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

As of Jun 19, 2026, the average yearly pay for remote data scientist deep learning in Reston, VA is $127,692.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,500.00 and $141,500.00 per year, depending on experience, location, and employer.

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

To thrive as a Remote Data Scientist specializing in Deep Learning, you need a strong background in mathematics, statistics, programming (especially Python), and experience with deep learning frameworks such as TensorFlow or PyTorch, often supported by a relevant degree. Familiarity with cloud platforms (e.g., AWS, GCP), version control systems like Git, and certifications in machine learning are highly beneficial. Strong analytical thinking, problem-solving abilities, and effective remote communication skills help you stand out in this position. These skills and qualities are essential for designing robust models, collaborating with distributed teams, and delivering impactful AI solutions.

How do Remote Data Scientists specializing in Deep Learning typically collaborate with cross-functional teams?

Remote Data Scientists in Deep Learning often work closely with software engineers, product managers, and domain experts through virtual meetings, shared documentation, and version-controlled code repositories. They collaborate on defining project goals, sharing model insights, and integrating machine learning solutions into products. Effective communication and clear documentation are crucial, as team members may be in different time zones or have varying technical backgrounds. Tools like Slack, JIRA, and GitHub are commonly used to streamline collaboration and track progress.

What are remote data scientists specializing in deep learning?

Remote data scientists specializing in deep learning are professionals who use advanced machine learning techniques, particularly deep neural networks, to analyze large amounts of data and extract meaningful insights. They work from remote locations, leveraging digital tools to build, train, and deploy deep learning models for tasks such as image recognition, natural language processing, and predictive analytics. These experts collaborate with other team members virtually, contributing to projects in industries like healthcare, finance, and technology without needing to be physically present in an office.
What are popular job titles related to Remote Data Scientist Deep Learning jobs in Reston, VA? For Remote Data Scientist Deep Learning jobs in Reston, VA, the most frequently searched job titles are:
What cities near Reston, VA are hiring for Remote Data Scientist Deep Learning jobs? Cities near Reston, VA with the most Remote Data Scientist Deep Learning job openings:
Data Scientist

Data Scientist

Virtualitics, Inc

Washington, DC • On-site, Remote

Full-time

Posted 2 days ago


Job description

Virtualitics is the category leader in AI-native readiness applications for defense, government, and critical infrastructure. Founded on a decade of Caltech research in partnership with NASA/JPL, we are led by scientists, strategists, and servicemembers united by a single mission: to solve the world’s most complex, mission-critical challenges with AI. 

Our Readiness AI solutions deliver operational certainty — giving leaders and operators a clear picture of what’s ready, what’s at risk, and what to do next. By identifying risks early, diagnosing root causes, and recommending prioritized actions with transparent, explainable AI, we help organizations move from data complexity to decision advantage. 

Behind that impact is relentless innovation. Inventors at heart, we hold 15+ U.S. patents and are leading the shift toward agent-driven readiness. But what truly sets us apart is our culture — relentless about results, grounded in transparency, and driven by compassion for the mission and the people it serves.

If you’re motivated by impact, inspired by technical depth, and ready to build AI that performs where it matters most — you’ll find your mission here.

 
Data Scientist TS/SCI (DC/NoVA)
 
Virtualitics introduced Intelligent Exploration to the analytics community through the Virtualitics AI Platform. We are seeking a Data Scientist with TS/SCI security clearance with a strong sense of ownership to join our Platform team. This position has career growth opportunities for those seeking to become Lead Data Scientist and/or Team Manager.
 
As a Data Scientist, you will:
  • Use the capabilities of the Virtualitics AI Platform to deploy production solutions for our customers.
  • Work with customer data and own the development of an AI solution from ideation to production
  • Leverage integrations with big data frameworks (e.g. Databricks) as needed to develop solutions for customers.
Requirements:
  • Must have an active TS/SCI security clearance and be willing to work from a SCIF as needed.
  • Must be located in or near Washington DC/Northern Virginia to be able to access relevant SCIFs.
  • Regular travel anticipated to client sites/military bases.
  • Degree in Computer Science.
  • 3+ years of experience writing production ready code in Python.
  • 3+ years of experience with Python Data Stack: pandas, numpy, sklearn, tensorflow, pytorch, matplotlib, etc.
  • 1 year of experience deploying a machine learning model in a production environment.
  • 1-2 years of experience with SQL/NoSQL or other database systems (elasticsearch, graph databases, etc.).
  • 3 years of experience with Git (or an alternative version control tool).
  • 1 year of Experience with Docker and/or Kubernetes.
  • A strong sense of ownership and accountability.
  • Excellent written and verbal communication skills in English
 
Pluses:
  • Demonstrated experience in leading the development efforts for a project from a SCIF.
  • Experience with PCAP and network monitoring, CVEs and Cyber Vulnerabilities, etc.
  • 1 year of experience integrating applications with at least one of Spark, Dask, Snowpark or Kafka.
  • 1 year of experience with technologies like task schedulers (e.g. Celery, Airflow, Prefect, etc.) and web-app development stacks (e.g.
    Flask/Django)
Compensation and Benefits:
  • Competitive salary/equity/bonus based on experience and education.
  • Full benefits including medical, dental, vision.
  • Unlimited paid time off.
 

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.