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Remote Data Scientist Machine Learning Jobs in Silver Spring, MD

Booz Allen Hamilton, Inc.

Data Scientist

Chantilly, VA · On-site +1

$62K - $141K/yr

Remote Work: No Job Number: R0248723 Location: Chantilly,VA,US Share job via: Share Data Scientist ... Knowledge of Machine Learning, Artificial Intelligence, or Natural Language Processing * Ability to ...

Strategic Education, Inc.

Data Scientist II

Herndon, VA · On-site +1

The Data Scientist II leverages machine learning and Generative AI (LLMs) to deliver scalable, data ... remote location. * Faculty and Federal Work Study roles require access to work in setting which ...

Two Six Technologies

Data Scientist

Arlington, VA · On-site +1

Our team works with agentic and generative AI, machine learning, network analysis, sampling ... Experiment with a range of data science techniques to produce insight, including machine learning ...

SAIC

Data Scientist

Mclean, VA · On-site +1

$200K - $240K/yr

None Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking a Data Scientist to join ... Demonstrated experience creating machine learning models that conduct text classification and topic ...

SAIC

Data Scientist

Mclean, VA · On-site +1

$200K - $240K/yr

None Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking a Data Scientist to join ... Demonstrated experience creating machine learning models that conduct text classification and topic ...

GRVTY

Data Scientist, Senior

Chantilly, VA · On-site +1

The core of the work is applying machine learning, statistical analysis, and data mining techniques ... Experience with geospatial data, imagery products, or remote sensing datasets -- familiarity with ...

GRVTY

Data Scientist, Senior

Chantilly, VA · On-site +1

The core of the work is applying machine learning, statistical analysis, and data mining techniques ... Experience with geospatial data, imagery products, or remote sensing datasets - familiarity with ...

SAIC

Data Scientist Lead

Chantilly, VA · On-site +1

$160K - $200K/yr

None Potential for Remote Work: ORA_ON_SITE Description SAIC is seeking a Data Scientist Lead to ... Hands-on practical experience with data architecting, data analytics, machine learning, and ...

micro1 AI

AI Data Science Evaluator

Washington, DC · Remote

$245 - $280/hr

Role Title: Data Scientist Role Type: Contractor Location: Remote About the Role micro1 is ... You'll bring rigor to how AI models handle statistics, machine learning, experimentation, and ...

micro1 AI

AI Data Science Evaluator

Baltimore, MD · Remote

$245 - $280/hr

Role Title: Data Scientist Role Type: Contractor Location: Remote About the Role micro1 is ... You'll bring rigor to how AI models handle statistics, machine learning, experimentation, and ...

Econometrica

Data Scientist

Bethesda, MD · On-site +1

... Primary) Remote (Virtual) - US - US Travel About Econometrica, Inc. Econometrica, Inc., is a ... Experience developing production-grade machine-learning workflows, including model validation ...

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All JobsData Scientist Machine Learning JobsRemote Data Scientist Machine Learning JobsRemote Data Scientist Machine Learning Jobs in Silver Spring, MD

Remote Data Scientist Machine Learning information

See Silver Spring, MD salary details

$38.8K

$126.9K

$203.1K

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

As of Sep 14, 2026, the average yearly pay for remote data scientist machine learning in Silver Spring, MD is $126,884.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,800.00 and $140,600.00 per year, depending on experience, location, and employer.

What does a remote data scientist specializing in machine learning do?

A Remote Data Scientist specializing in Machine Learning uses advanced statistical techniques and programming skills to analyze large datasets and build predictive models, all while working from a remote location. They design, develop, and deploy machine learning algorithms to solve business problems, such as forecasting trends or automating processes. Their work often involves data cleaning, feature engineering, model selection, and collaborating with cross-functional teams to integrate these models into products or services. Remote data scientists typically use tools like Python, R, and cloud-based platforms to perform their tasks efficiently.

How do remote data scientists specializing in machine learning typically collaborate with cross-functional teams?

Remote data scientists in machine learning often work closely with product managers, engineers, and business analysts through virtual meetings, collaborative platforms, and shared documentation tools. They regularly participate in sprint planning, code reviews, and brainstorming sessions to ensure alignment with project goals. Effective communication and proactive updates are essential for overcoming the challenges of remote collaboration and maintaining project momentum. Building strong relationships with team members across different time zones helps foster innovation and ensures that machine learning solutions are well-integrated into broader business objectives.

What are the key skills and qualifications needed to thrive as a remote data scientist specializing in machine learning?

To excel as a Remote Data Scientist in Machine Learning, you need a solid background in statistics, programming (typically Python or R), and a degree in computer science, mathematics, or a related field. Familiarity with tools and frameworks such as TensorFlow, scikit-learn, PyTorch, and experience with cloud platforms like AWS or Azure are often required, along with relevant certifications. Strong problem-solving skills, effective communication, and the ability to work independently are crucial soft skills for remote collaboration and translating insights for diverse stakeholders. These competencies ensure the development of robust models, clear communication of findings, and successful project delivery in a distributed work environment.

What is the difference between Remote Data Scientist Machine Learning vs Remote Data Scientist?

AspectRemote Data Scientist Machine LearningRemote Data Scientist
Required CredentialsMaster's or PhD in Data Science, Computer Science, or related field; experience with ML frameworksSimilar educational background; may focus more on statistical analysis and data visualization
Work EnvironmentPrimarily involves developing ML models, coding in Python/R, and deploying algorithmsFocuses on data analysis, reporting, and insights generation, often with less emphasis on ML deployment
Employer & Industry UsageUsed in tech, finance, healthcare for predictive modeling and automationCommon across various industries for data analysis and business intelligence

While both roles require strong analytical skills and similar educational backgrounds, Remote Data Scientist Machine Learning specializes in developing and deploying machine learning models, whereas Remote Data Scientist focuses more on data analysis and reporting. The ML role often involves coding and algorithm development, making it more technical in nature.

What are popular job titles related to Remote Data Scientist Machine Learning jobs in Silver Spring, MD?

For Remote Data Scientist Machine Learning jobs in Silver Spring, MD, the most frequently searched job titles are:

What job categories do people searching Remote Data Scientist Machine Learning jobs in Silver Spring, MD look for?

The top searched job categories for Remote Data Scientist Machine Learning jobs in Silver Spring, MD are:

What cities near Silver Spring, MD are hiring for Remote Data Scientist Machine Learning jobs?

Cities near Silver Spring, MD with the most Remote Data Scientist Machine Learning job openings:

Remote Data Scientist Machine Learning jobs near you
Infographic showing various Remote Data Scientist Machine Learning job openings in Silver Spring, MD as of July 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 100% Remote job distribution, with an average salary of $126,884 per year, or $61 per hour.

SAR Data/Imagery Scientist (TS/SCI Clearance required)

Falls Church, VA • On-site, Remote

NorthHill Technology
See more jobs at NorthHill Technologyexternal

Full-time

Re-posted 15 hours ago

Key responsibilities

  • Support the evaluation of emerging sensor capabilities and compare new collection platforms with existing systems.

  • Assess the impact of new sensor data on data architectures, including metadata, file formats, schemas, APIs, and ETL processes.

  • Develop preprocessing and standardization workflows to prepare imagery for labeling, analytics, and AI/ML model testing.

Job description

NorthHill Technology Resources has a need for a SAR Data Scientist/Imagery Scientist to join a Federal Program in Falls Church, VA.  This is a direct-hire opportunity with our client, a highly respected Federal Integrator.  A current TS/SCI Clearance is required. 

We are seeking an experienced SAR Data Scientist/Imagery Scientist to join a high-performing team supporting advanced AI and machine learning initiatives for complex national security and intelligence missions.

This program focuses on evaluating AI models against Government datasets to assess their performance, resilience, and robustness across a broad spectrum of adversarial scenarios. The effort also includes testing and validating autonomous algorithms designed to support operational decision-making in dynamic mission environments.

As a SAR Exploitation/Imagery Scientist, you will provide subject matter expertise in Synthetic Aperture Radar (SAR) imagery, geospatial analysis, and quantitative assessment to support data curation, imagery exploitation, and dataset development for machine learning model testing and evaluation. You will collaborate with engineers, data scientists, and mission analysts to ensure imagery products are prepared, standardized, and optimized for AI/ML applications.

Required Qualifications

  • Active TS/SCI clearance with eligibility for CI Polygraph (we can sponsor your CI poly if you don't already have one)
  • 4+ years of experience working with Synthetic Aperture Radar (SAR) imagery, including collection methodologies, radar phenomenology, image formation, and exploitation products.
  • Experience evaluating SAR imagery quality metrics and interpreting sensor metadata, including the effects of collection geometry (e.g., graze angle, squint angle, azimuth) on SAR phenomenology.
  • Demonstrated experience exploiting SAR imagery to detect, identify, and geolocate objects of interest.
  • Strong understanding of remote sensing principles, imagery processing, and advanced SAR exploitation techniques.
  • Excellent communication skills with the ability to effectively present SAR methodologies, imagery products, and analytical findings to both technical and non-technical audiences.
Preferred Qualifications
  • Experience applying computer vision (CV), machine learning (ML), or deep learning techniques to SAR imagery and geospatial data to support intelligence, defense, or remote sensing applications.
Key Responsibilities
  • Support the Lead SAR Scientist in evaluating emerging sensor capabilities and comparing new collection platforms with existing operational systems.
  • Assess the impact of new sensor data on existing data architectures, including metadata, file formats, schemas, APIs, and ETL processes required to ingest and integrate data into operational pipelines.
  • Evaluate data acquisition strategies, expected collection latency, available data formats, and applicable security domains for new sensor sources.
  • Develop preprocessing and standardization workflows to prepare imagery for labeling, analytics, and AI/ML model testing. This may include file format conversion, image tiling, geospatial normalization, and other data preparation activities to ensure compatibility with established data standards.