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Remote Data Scientist Machine Learning Jobs in Silver Spring, MD

System One

Data Scientist (AI)

Washington, DC · Remote

$125K - $190K/yr

AI Data Scientist REMOTE US Citizen What You Will Need: * Bachelor's or Master's degree in Data ... Solid experience in data science, machine learning, or applied analytics roles * Experience ...

Elder Research

Data Scientist (Remote)

Arlington, VA · On-site +1

Data Scientist Workplace: Washington DC Metro Area - Remote (candidates MUST BE located in the ... Maintain current in emerging tools and techniques in machine learning, statistical modeling, and ...

Elder Research

Data Scientist (Remote)

Arlington, VA · On-site +1

Data Scientist Workplace: Washington DC Metro Area - Remote (candidates MUST BE located in the ... Maintain current in emerging tools and techniques in machine learning, statistical modeling, and ...

NT Concepts

Data Scientist

Herndon, VA · On-site +1

... the machine learning development lifecycle, from data curation and synthetic data generation to ... Herndon, VA with remote flexibility. Must be local to the DC Metro area. Responsibilities * Curate ...

Agile Defense

Data Scientist

Alexandria, VA · On-site +1

This role is part of a multidisciplinary team integrating advanced analytics, machine learning, and ... Remote | Falls Church, VA | Arlington, VA | DC Metro Clearance: Active DoD Secret (or ability to ...

Redhorse Corporation

Data Scientist

Arlington, VA · On-site +1

... for remote work to be determined by the program manager and customer. Essential Functions ... Bachelor's degree in a highly quantitative field (Computer Science, Machine Learning, Operational ...

Advent Services

Data Scientist

Washington, DC · Remote

Data Scientist Position Overview: We are seeking a Data Scientist to support reclassification ... Experience with natural language processing (NLP), machine learning, and data visualization.

HelioCampus

Data Scientist I

Bethesda, MD · On-site +1

Develop statistical and machine learning models (classification, time series, etc.) using a custom ... Ability to work effectively and independently in a remote role, managing multiple priorities and ...

HelioCampus

Data Scientist I

Bethesda, MD · On-site +1

Develop statistical and machine learning models (classification, time series, etc.) using a custom ... Ability to work effectively and independently in a remote role, managing multiple priorities and ...

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All 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 May 30, 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 are the key skills and qualifications needed to thrive as a Remote Data Scientist specializing in Machine Learning, and why are they important?

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.

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 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.

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 May 2026, with employment types broken down into 70% Full Time, 20% Part Time, and 10% Contract. Highlights an 100% Remote job distribution, with an average salary of $126,884 per year, or $61 per hour.
Data Scientist (AI)

Data Scientist (AI)

System One

Washington, DC • Remote

$125K - $190K/yr

Full-time

Medical, Dental, Vision, Life, PTO

Posted 9 days ago

Job description

AI Data Scientist 
REMOTE 
US Citizen 
What You Will Need:

  • Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or related field.
  • Solid experience in data science, machine learning, or applied analytics roles
  • Experience developing and applying machine learning models, including:
    • Natural Language Processing (NLP)
    • Semantic search or information retrieval
    • Entity resolution or relationship modeling
  • Experience working with large-scale structured and unstructured data, particularly document-based datasets (e.g., text, PDFs, images).
  • Experience leveraging metadata and extracted features to support analytics and modeling.
  • Strong proficiency in Python for data science and machine learning (e.g., Pandas, Scikit-learn, PyTorch or TensorFlow) and solid SQL skills.
  • Experience working with Databricks and/or Spark-based environments for scalable data processing.
  • Familiarity with AWS cloud services for data access, processing, or model deployment.
  • Experience working with data lake or lakehouse architectures (e.g., AWS S3, Databricks), including querying and transforming large-scale datasets.
  • Experience integrating models into production environments (e.g., APIs, batch pipelines, or embedded analytics platforms).
  • Understanding of model evaluation, validation, and performance metrics.


What Would Be Nice To Have:

  • Experience working with Palantir Foundry and/or Palantir AIP, particularly in support of AI-enabled search or analytics workflows.
  • Consulting experience strongly preferred
  • Experience building AI-enabled search solutions, including semantic search, document retrieval, and ranking models.
  • Experience with multimodal data processing, including text and image-based analytics.
  • Familiarity with OCR/ICR pipelines and document intelligence use cases.
  • Experience with enterprise ML platforms (e.g., AWS SageMaker, Databricks Machine Learning) for model development, deployment, and lifecycle management.
  • Experience developing explainable AI (XAI) solutions, including confidence scoring and traceability of results.
  • Experience designing analytics dashboards or reporting solutions for end users.
  • Previous experience supporting federal clients or working in regulated environments.
  • Experience in a consulting firm and/or client-facing delivery role.
  • Experience supporting training, user enablement, or scaling analytics capabilities across teams.
  • Familiarity with graph-based analytics, ontology-driven models, or relationship mapping.


What You Will Do:

  • Partner with stakeholders to define and deliver AI/analytics use cases, translating business needs into scalable data science solutions.
  • Design and develop machine learning models and analytical approaches to support search, discovery, and insight generation across structured and unstructured data.
  • Build and implement NLP, semantic search, and entity resolution capabilities to enable advanced information retrieval and relationship analysis.
  • Leverage document-based data (e.g., OCR/ICR outputs, metadata, and free text) to extract insights and support downstream analytics and search solutions.
  • Collaborate with data engineers to integrate models into production environments, including Palantir Foundry, Databricks, and AWS-based platforms.
  • Develop model evaluation frameworks, confidence scoring, and explainability approaches to ensure transparency and usability of AI outputs.
  • Support development of analytics, reporting, and dashboards to drive operational insights and decision-making.

Contribute to solution design, proposal support, and thought leadership in AI/analytics capabilities

Company Description

System One is a leading provider of specialized, highly technical services and solutions to critical infrastructure, technology, life sciences, and government sectors. We partner with large private and public organizations who trust us to execute their complex, mission-critical initiatives through our outsourced services and workforce solutions.