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Data Science Machine Learning Jobs in Silver Spring, MD

Smart Data

Data Scientist III

Chantilly, VA

$135K - $180K/yr

This role focuses on applying data science, machine learning, and data engineering techniques to advanced science and technology (S&T) mission challenges. The ideal candidate is technically curious ...

Total Wine & More

Director, Data Science

Bethesda, MD · On-site

Responsibilities : • Spearhead the strategy and execution of enterprise-wide data science, machine learning, and AI initiatives, ensuring alignment with long-term organizational goals and business ...

Hirekeyz Inc

Sr. Machine Learning Engineer

Fort Belvoir, VA · On-site

$118K - $162K/yr

Master's Degree in Data Science, Machine Learning, or a related field * Proven experience in a machine learning or AI engineering role * Strong proficiency in Python, C++, or Java * Extensive ...

Leidos

Data Scientist

Springfield, VA · On-site

Lead the development and operationalization of advanced data science, machine learning, and artificial intelligence solutions for mission applications. * Design and implement statistical models ...

Leidos

Data Scientist

Springfield, VA · On-site

Lead the development and operationalization of advanced data science, machine learning, and artificial intelligence solutions for mission applications. * Design and implement statistical models ...

Leidos

Data Scientist

Springfield, VA · On-site

Lead the development and operationalization of advanced data science, machine learning, and artificial intelligence solutions for mission applications. * Design and implement statistical models ...

Leidos

Data Scientist

Springfield, VA · On-site

$116K - $210K/yr

Lead the development and operationalization of advanced data science, machine learning, and artificial intelligence solutions for mission applications. * Design and implement statistical models ...

Leidos

Data Scientist

Springfield, VA · On-site

$116K - $210K/yr

Lead the development and operationalization of advanced data science, machine learning, and artificial intelligence solutions for mission applications. * Design and implement statistical models ...

Leidos

Data Scientist

Springfield, VA · On-site

Lead the development and operationalization of advanced data science, machine learning, and artificial intelligence solutions for mission applications. * Design and implement statistical models ...

Leidos

Data Scientist

Springfield, VA · On-site

$116K - $210K/yr

Lead the development and operationalization of advanced data science, machine learning, and artificial intelligence solutions for mission applications. * Design and implement statistical models ...

Leidos

Data Scientist

Springfield, VA · On-site

Lead the development and operationalization of advanced data science, machine learning, and artificial intelligence solutions for mission applications. * Design and implement statistical models ...

Leidos

Data Scientist

Springfield, VA · On-site

Lead the development and operationalization of advanced data science, machine learning, and artificial intelligence solutions for mission applications. * Design and implement statistical models ...

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Showing results 21-40

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

$38.8K

$126.9K

$203.1K

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

As of Sep 3, 2026, the average yearly pay for data science 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 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.

What are the key skills and qualifications needed to thrive as a data science machine learning professional?

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 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.

Is data science machine learning a high paying job?

Data science and machine learning roles are generally high-paying within the tech industry due to the specialized skills required, such as programming, statistical analysis, and experience with tools like Python or TensorFlow. Salaries vary based on experience, location, and company size but tend to be above average compared to many other professions.
Data Science Machine Learning jobs near you
Infographic showing various Data Science Machine Learning job openings in Silver Spring, MD as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $126,496 per year, or $60.8 per hour.

Data Scientist III with Security Clearance

SOSi

Washington, DC • On-site

Other

Re-posted 14 days ago

Job description

Company Description Founded in 1989, SOSi is among the largest private, founder-owned technology and services integrators in the defense and government services industry. We deliver tailored solutions, tested leadership, and trusted results to enable national security missions worldwide. Job Description *** This position is contingent upon contract award *** Overview SOSi is seeking a Data Scientist III to support cybersecurity data science and enrichment activities in alignment with our customer. This role is responsible for applying data science, machine learning, and data engineering techniques to enhance enterprise security monitoring, detection, threat hunting, user and entity behavior analytics, and data correlation services supporting cyber defense operations. Responsibilities • Develop and apply data science, machine learning, and analytical models to support cyber defense operations • Support security monitoring, threat detection, threat hunting, and User & Entity Behavior Analytics (UEBA) through data enrichment and modeling • Examine and correlate data from multiple disparate sources to generate insights into threats affecting the enterprise • Define input/output requirements, data workflows, and completion criteria for products, data, and deliverables supporting other teams • Support development and integration of data engineering pipelines, automation workflows, and analytical outputs • Apply programming and data analysis techniques using Python, JSON, C++, Java, R, or Scala • Support deployment and operation of solutions using Kubernetes and Docker • Support integration of cyber data models with SIEM and SOAR platforms • Apply MITRE ATT&CK and MITRE D3FEND concepts to support cyber analytical use cases Qualifications • Experience: * Five (5) or more years of experience in machine learning engineering, data science, data engineering, or software development
* Experience applying machine learning methods to complex data problems
* Experience supporting cyber data models and analytical workflows
* Experience integrating or supporting SIEM and SOAR technologies
* Experience using Kubernetes and Docker
* Experience with programming languages including Python, JSON, C++, Java, R, or Scala
* Experience applying MITRE ATT&CK and MITRE D3FEND concepts in cybersecurity contexts
• Clearance/Suitability: * Secret (eligible) • Education: * Master's or PhD in a quantitative field, or equivalent experience
• Certifications: * Certified Analytics Professional (CAP) Additional Information Work Environment * Normal office conditions with potential to perform duties in deployed locations.
* Core hours of operation are Monday through Friday, 0600 - 1700.
* May be requested to work evenings and weekends to meet program and contract needs.
Working at SOSi All interested individuals will receive consideration and will not be discriminated against for any reason.

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