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Remote Data Scientist Machine Learning Jobs in Silver Spring, MD

Brillient

Data Scientist

New Carrollton, MD · On-site +1

$120K/yr

Competitive Compensation The Data Scientist will apply advanced analytical, statistical, and machine learning techniques to analyze complex datasets, develop predictive models, and generate ...

New

Maximus

Data Scientist (Remote)

VA · On-site +1

General information Job Posting Title Data Scientist (Remote) Date Tuesday, August 4, 2026 City ... NLP, and machine learning (both supervised and unsupervised) to improve relevance and ...

Booz Allen Hamilton, Inc.

Data Scientist

Arlington, VA · On-site +1

$77K - $176K/yr

Remote Work: Hybrid Job Number: R0248351 Location: Arlington,VA,US Share job via: Share Data ... Knowledge of Machine Learning, Artificial Intelligence, or Natural Language Processing * Knowledge ...

ManTech

Data Scientist

Fort George G Meade, MD · Remote

$128K - $214K/yr

We are seeking talented and motivated Data Scientists with expertise in machine learning ... For Remote Opportunities), education and certifications as well as Federal Government Contract ...

Booz Allen Hamilton, Inc.

Data Scientist

Arlington, VA · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0247320 Location: Arlington,VA,US Share job via: Share Data Scientist ... Knowledge of Machine Learning, Artificial Intelligence, or Natural Language Processing * Knowledge ...

Booz Allen Hamilton, Inc.

Data Scientist

Chantilly, VA · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0244172 Location: Chantilly,VA,US Share job via: Share Data Scientist ... Knowledge of Machine Learning, Artificial Intelligence, or Natural Language Processing (NLP)

Dlapiper

Data Scientist

Baltimore, MD · On-site +1

A specialization in machine-learning, artificial intelligence, cognitive science or data science is ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

Booz Allen Hamilton, Inc.

Data Scientist

Chantilly, VA · On-site +1

$99K - $225K/yr

Remote Work: No Job Number: R0246131 Location: Chantilly,VA,US Share job via: Share Data Scientist ... Knowledge of text mining or machine learning techniques * TS/SCI clearance with a polygraph

Dlapiper

Data Scientist

Reston, VA · On-site +1

A specialization in machine-learning, artificial intelligence, cognitive science or data science is ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

Dlapiper

Data Scientist

Washington, DC · On-site +1

A specialization in machine-learning, artificial intelligence, cognitive science or data science is ... Opportunity for a hybrid work arrangement combining remote and in-office work. The specific ...

Booz Allen Hamilton, Inc.

Data Scientist

Chantilly, VA · On-site +1

$99K - $225K/yr

Remote Work: No Job Number: R0249049 Location: Chantilly,VA,US Share job via: Share Data Scientist ... Knowledge of text mining or machine learning techniques * TS/SCI clearance with a polygraph

SAIC

GEOINT SIGINT Data Scientist

Chantilly, VA · On-site +1

$160K - $200K/yr

None Potential for Remote Work: ORA_ON_SITE Description SAIC is hiring a GEOINT SIGINT Data ... Hands‑on practical experience with data analytics, machine learning, and statistical methods.

Booz Allen Hamilton, Inc.

Data Scientist

Alexandria, VA · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0248011 Location: Alexandria,VA,US Share job via: Share Data Scientist ... Knowledge of Machine Learning, Artificial Intelligence, or Natural Language Processing * Active TS ...

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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 13, 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.

Data Scientist

New Carrollton, MD • On-site, Remote

Brillient
IT Services • 1 - 5K employees
Learn more about Brillientexternal

$120K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted yesterday

New

Job description

Why Brillient?
At Brillient, you'll join an award-winning digital transformation company dedicated to helping government agencies evolve from analog processes to digital solutions and advanced analytics that drive smarter decisions and mission success.
We are guided by four core values:
  • Value - Delivering meaningful results for our clients and employees
  • Integrity - Building trust through honesty, accountability, and ethical business practices
  • Flexibility - Embracing agility and collaboration to adapt to changing needs
  • Innovation - Continuously improving processes, technologies, and solutions

We are committed to fostering a professional, respectful, and collaborative workplace where employees are supported, recognized for their contributions, and empowered to succeed.
What Sets Us Apart
  • Commitment to Sustainability: We strive to be an environmentally conscious organization through sustainable business practices.
  • Community Impact: We believe in giving back and making a positive difference in the communities where we live and work.

At Brillient, we hire talented, driven individuals who are passionate about helping clients achieve their mission objectives through innovation and excellence. As a client-focused and employee-centered organization, we take pride in our collaborative culture, commitment to professional growth, and dedication to delivering exceptional results.
Benefits & Perks: We offer a comprehensive benefits package designed to support your well-being and work-life balance, including:
  • Generous Paid Time Off
  • Medical, Dental, and Vision Insurance
  • Company-Paid Life Insurance and Short-Term Disability Coverage
  • Employee Assistance Program (EAP)
  • Voluntary Life Insurance and Long-Term Disability Coverage
  • Wellness Programs
  • 401(k) Retirement Plan
  • Competitive Compensation

The Data Scientist will apply advanced analytical, statistical, and machine learning techniques to analyze complex datasets, develop predictive models, and generate actionable insights within a large data warehouse. The ideal candidate has strong hands-on ETL experience with Python and the broader data science ecosystem, including Jupyter Notebook, Pandas, NumPy, and machine learning frameworks such as scikit-learn.
This role requires the ability to work independently with large and complex data sets and tables, translate business and mission requirements into analytical solutions, and communicate technical findings clearly to both technical and non-technical stakeholders.
Key Responsibilities
  • Perform data preparation, cleaning, transformation, exploration, and feature engineering using Pandas and NumPy.
  • Analyze large and complex datasets to identify trends, patterns, relationships, and actionable insights.
  • Develop, implement, evaluate, and maintain statistical and machine learning models to support analytical and mission objectives.
  • Evaluate model performance, validate results, and identify opportunities to improve model accuracy and reliability.
  • Collaborate with technical teams, analysts, subject matter experts, and stakeholders to understand requirements and translate them into data-driven solutions.
  • Use Python as the primary programming language for data analysis, modeling, automation, and data science applications.
  • Develop and document analytical workflows and models using Jupyter Notebook.
  • Develop and execute scripts to support data processing, automation, and analytical workflows.
  • Apply machine learning techniques and frameworks, including scikit-learn, to develop and evaluate predictive and analytical models.
  • Conduct exploratory data analysis and statistical analysis to support data-driven decision-making.
  • Work with structured and unstructured data from multiple sources and formats.
  • Develop repeatable and scalable analytical processes and workflows.
  • Document methodologies, analytical approaches, models, assumptions, results, and recommendations.
  • Present complex analytical findings and technical results in a clear and understandable manner.
  • Work in both Linux and Windows operating environments.
  • Work with containerized and/or distributed environments using OpenShift and Kubernetes.
  • Maintain awareness of emerging data science, machine learning, and analytical technologies and identify opportunities to apply them to mission requirements.

DISCLAIMER: The above statements are intended to describe the general nature and level of work performed. They are not intended to be an exhaustive list of all responsibilities, duties, skills, efforts, requirements, or working conditions. Management reserves the right to revise the job or to require that other or different tasks be performed as assigned in accordance with business demands and/or contractual requirements.
Brillient is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any status protected under applicable federal, state, or local law.
Salary Range: $120,000-140,000
Required Education & Qualifications
  • Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Information Technology, or a related technical field.
  • Minimum five (5) years of professional experience in data science, data analytics, statistical analysis, machine learning, or a related field.
  • Strong hands-on experience with Python for data analysis, data science, and machine learning.
  • Experience using Jupyter Notebook for data exploration, analysis, modeling, and documentation.
  • Strong experience with Pandas and NumPy for data manipulation, analysis, and processing.
  • Demonstrated experience developing and applying machine learning models, including experience with scikit-learn (sklearn) or comparable machine learning frameworks.
  • Strong analytical and problem-solving skills, with the ability to work with complex datasets and develop data-driven solutions.
  • Experience performing data cleaning, transformation, exploratory data analysis, feature engineering, and model evaluation.
  • Experience working in Linux and Windows operating systems.
  • Experience developing and using shell scripts for automation and data processing.
  • Experience working with OpenShift and/or Kubernetes environments.
  • Ability to communicate complex technical concepts, analytical findings, and recommendations effectively to technical and non-technical audiences.
  • Ability to work independently and collaboratively in a fast-paced technical environment.

Preferred Qualifications:
  • Experience with Artificial Intelligence (AI), Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), or model fine-tuning.
  • Experience working with PostgreSQL/Postgres and/or Sybase IQ databases.
  • Experience with Apache Airflow and automated ETL/data pipelines.
  • Experience using Git, GitLab, and source control workflows.
  • Experience using Visual Studio Code (VS Code) or similar integrated development environments.
  • Experience deploying or operationalizing machine learning models in containerized or cloud environments.
  • Experience with MLOps practices, model deployment, monitoring, and lifecycle management.

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