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Data Science Machine Learning Jobs in Silver Spring, MD

System One

Data Scientist

Mclean, VA · On-site

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 ...

LexisNexis

Director, Data Sciences

Washington, DC · On-site +1

Champion innovation by staying current with the latest trends and techniques in data science and allocating resources to promising new approaches. * Machine Learning and AI Solutions : Lead the ...

Ametek

Machine Learning Engineer

Herndon, VA · Hybrid

Bachelor's degree in Computer Science, Machine Learning, Artificial Intelligence, Data Science ... Engineering, Mathematics, or a closely related quantitative field. * This is a hybrid role in ...

NT Concepts

Data Scientist

Herndon, VA · On-site +1

Contribute to solutioning sessions and technical sections of project proposals Required Qualifications * 5+ years of experience in data science, machine learning, or a related field * Hands-on ...

Guidehouse

AI/ML Data Scientist

Arlington, VA · On-site

A minimum of FOUR (4) years of experience in data science, machine learning, or applied analytics roles * U.S. Citizenship required and ability to obtain and maintain a Public Trust clearance.

Guidehouse

AI/ML Data Scientist

Arlington, VA

A minimum of FOUR (4) years of experience in data science, machine learning, or applied analytics roles * U.S. Citizenship required and ability to obtain and maintain a Public Trust clearance.

Guidehouse

AI/ML Data Scientist

Arlington, VA

$113K - $188K/yr

A minimum of 4 years of experience in data science, machine learning, or applied analytics roles * U.S. Citizenship required and ability to obtain and maintain a Public Trust clearance. * Experience ...

WSSC Water

Data Scientist

Laurel, MD · On-site

Stays updated on the latest developments in data science, machine learning, and related technologies * Identifies and recommends opportunities for process improvement and innovation * Documents ...

Guidehouse

AI/ML Data Scientist

Arlington, VA

$113K - $188K/yr

A minimum of 4 years of experience in data science, machine learning, or applied analytics roles * U.S. Citizenship required and ability to obtain and maintain a Public Trust clearance. * Experience ...

Guidehouse

AI/ML Data Scientist

Arlington, VA · On-site

$113K - $188K/yr

A minimum of 4 years of experience in data science, machine learning, or applied analytics roles * U.S. Citizenship required and ability to obtain and maintain a Public Trust clearance. * Experience ...

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Showing results 1-20

All JobsData Science Machine Learning JobsData Science Machine Learning Jobs in Silver Spring, MD

Data Science Machine Learning information

See Silver Spring, MD salary details

$38.6K

$126.5K

$202.5K

How much do data science machine learning jobs pay per year?

As of Jun 29, 2026, the average yearly pay for data science machine learning in Silver Spring, MD is $126,496.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $140,200.00 per year, depending on experience, location, and employer.

Which has more salary, CS or AI?

Data Science and Machine Learning roles in AI generally have higher salaries than traditional computer science positions due to specialized skills in deep learning, neural networks, and advanced algorithms. AI roles often require expertise in programming languages like Python and frameworks such as TensorFlow, which are highly valued in the job market. Salaries vary by experience, location, and industry, but AI-focused positions tend to offer higher compensation on average.

What are the key skills and qualifications needed to thrive as a Data Science Machine Learning professional, and why are they important?

To thrive as a Data Science Machine Learning professional, you need a strong background in statistics, programming (usually Python or R), and a solid understanding of machine learning algorithms, often supported by a degree in computer science, mathematics, or a related field. Familiarity with tools like TensorFlow, scikit-learn, SQL databases, and cloud platforms, as well as certifications such as AWS Certified Machine Learning, are typically valuable. Critical thinking, problem-solving, and effective communication are vital soft skills for interpreting data and collaborating with stakeholders. These skills enable professionals to develop robust models, extract actionable insights, and drive data-driven decision-making in organizations.

What engineers make $500,000?

Senior data science and machine learning engineers with extensive experience, advanced skills in programming, statistical analysis, and deep learning, and often working in high-demand industries or at large tech companies can earn $500,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially at executive or specialized levels.

What are some common challenges faced when deploying machine learning models as a Data Science Machine Learning professional?

A frequent challenge in this role is bridging the gap between building accurate models in a controlled environment and deploying them effectively in production systems. Issues such as data drift, model performance degradation, and integration with existing IT infrastructure often arise. Collaboration with engineering and IT teams is crucial to ensure models are scalable, maintainable, and secure. Regular monitoring and updating of deployed models are also essential responsibilities to sustain their value to the business.

What is the difference between Data Science Machine Learning vs Data Analyst?

AspectData Science Machine LearningData Analyst
Required SkillsProgramming (Python, R), statistics, machine learning algorithmsData visualization, SQL, basic statistics
Work EnvironmentDeveloping models, coding, experimenting with algorithmsData reporting, dashboard creation, data cleaning
Industry UsageTech, finance, healthcare, where predictive models are neededBusiness intelligence, marketing, operations

Data Science Machine Learning professionals focus on building predictive models and algorithms using programming and advanced statistics, often working on complex projects. Data Analysts primarily interpret data through visualization and reporting to support business decisions. While both roles require data skills, Data Science Machine Learning involves more technical programming and modeling, whereas Data Analysts focus on data interpretation and presentation.

Do data scientists work with machine learning?

Data scientists often work with machine learning as a core part of their role, developing models to analyze data and make predictions. They use tools like Python, R, and libraries such as scikit-learn or TensorFlow to build and deploy machine learning algorithms. Knowledge of statistics, programming, and data manipulation is essential for this work.

What is data science machine learning?

Data science machine learning refers to the use of algorithms and statistical models to analyze and draw insights from complex data sets. In this field, professionals use machine learning techniques to build predictive models, automate decision-making processes, and uncover patterns in data. Machine learning is a core component of data science, enabling systems to improve their performance over time without being explicitly programmed. Data scientists with machine learning expertise are in high demand across industries like healthcare, finance, and technology.

Which 3 jobs will survive AI?

Data science and machine learning roles are expected to persist as they require complex problem-solving, domain expertise, and creativity that AI tools currently cannot fully replicate. Jobs involving strategic decision-making, ethical considerations, and interpersonal skills, such as data analysts, AI ethics specialists, and AI system trainers, are also likely to remain in demand. Continuous learning and proficiency with AI tools will be essential for these roles to adapt and thrive.
What cities near Silver Spring, MD are hiring for Data Science Machine Learning jobs? Cities near Silver Spring, MD with the most Data Science Machine Learning job openings:
Data Science Machine Learning jobs near you
Infographic showing various Data Science Machine Learning job openings in Silver Spring, MD as of June 2026, with employment types broken down into 62% Full Time, 36% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $126,496 per year, or $60.8 per hour.
Data Scientist

Data Scientist

System One

Mclean, VA • On-site

Other

Medical, Dental, Vision, Life, Retirement

Posted 4 days ago

Job description


Job Title: Data Scientist
Location: McLean, VA
Type: Contract To Hire
Compensation: Not specified
Work Model: Remote
Hours: 40.0
Clearance: Must be eligible to obtain a US Public Trust
Contact:
RESPONSIBILITIES

  • 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.
  • Operate within an Agile delivery model, contributing to sprint planning, experimentation, and iterative solution delivery.
  • Communicate findings and recommendations clearly to both technical and non-technical audiences, including client stakeholders.
  • Contribute to solution design, proposal support, and thought leadership in AI/analytics capabilities.
REQUIREMENTS
  • Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or related field.
  • A minimum of 4 years of experience in data science, machine learning, or applied analytics roles.
  • U.S. Citizenship required and ability to obtain and maintain a Public Trust clearance.
  • 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.
  • Strong communication skills and ability to translate analytical outputs into actionable insights.
  • Experience working in cross-functional, matrixed teams in an Agile environment.

ing outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan.
System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.
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