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Data Science Machine Learning Jobs in Alexandria, VA

KDA CONSULTING INC

Data Scientist

Chantilly, VA · On-site

... in data science, machine learning, and statistical analysis • Proficiency in Python and experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn • Experience analyzing and ...

KDA CONSULTING INC

Data Scientist

Herndon, VA · On-site

... in data science, machine learning, and statistical analysis • Proficiency in Python and experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn • Experience analyzing and ...

KDA CONSULTING INC

Data Scientist

Mclean, VA · On-site

... in data science, machine learning, and statistical analysis • Proficiency in Python and experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn • Experience analyzing and ...

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 ...

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 ...

Leidos

Data Scientist

Springfield, VA · On-site

$116K - $210K/yr

  • Medical

  • Retirement

  • PTO

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

  • Medical

  • Retirement

  • PTO

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

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 ...

Noblis

Data Scientist (Multiple Levels)

Washington, DC · On-site

  • Medical

  • Life

  • Retirement

  • PTO

SMEs will apply advanced knowledge in their respective technical or analytical disciplines-particularly data science, machine learning, and data-driven analysis-to solve complex problems, integrate ...

Noblis

Data Scientist (Multiple Levels)

Washington, DC · On-site

  • Medical

  • Life

  • Retirement

  • PTO

SMEs will apply advanced knowledge in their respective technical or analytical disciplines-particularly data science, machine learning, and data-driven analysis-to solve complex problems, integrate ...

THOMSON REUTERS

Data Scientist

Mclean, VA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Strong command of Python and common data science and machine learning libraries * Hands-on experience with modern ML/AI techniques, including LLMs, MLLMs, NLP, embeddings, and related approaches

Cvent

Senior Data Scientist

Tysons, VA · On-site

Master's degree in Statistics, Data Science, Artificial Intelligence, Machine Learning, or a related field preferred. * 5+ years of professional experience in data science, machine learning, or a ...

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Showing results 41-60

All JobsData Science Machine Learning JobsData Science Machine Learning Jobs in Alexandria, VA

Data Science Machine Learning information

See Alexandria, VA salary details

$40K

$131.1K

$209.8K

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

As of Aug 19, 2026, the average yearly pay for data science machine learning in Alexandria, VA is $131,058.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,200.00 and $145,200.00 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 Alexandria, VA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $131,058 per year, or $63 per hour.

Senior Data Scientist / Machine Learning Engineer

Waypoint Human Capital

Mclean, VA

Full-time

Posted 19 days ago

Job description

Position Title: Senior Data Scientist / Machine Learning Engineer
Position Type: Full-Time, On-Site
Position Location: Tysons, VA
Clearance Required: Active TS/SCI with CI Polygraph or Full Scope Polygraph
Waypoint's client is seeking a dynamic Senior Data Scientist / Machine Learning Engineer with an active TS/SCI CI Poly or higher to join their team. The Senior Data Scientist / Machine Learning Engineer will work directly with data scientists, software engineers, and subject matter experts in the definition of new analytics capabilities able to provide federal customers with the information they need to make proper decisions and enable their digital transformation.
This position works directly with data scientists, software engineers, and subject matter experts to research, design, and deploy machine learning algorithms that support federal customers in digital transformation and data-driven decision making. They will contribute to new analytics capabilities and assist customers in building their own applications. This position requires a bachelor's degree in Computer Science, Electrical Engineering, Statistics, or a related field, 5 to 10 years of relevant experience, and strong Python and applied ML skills. An active TS/SCI with CI Polygraph or Full Scope Polygraph is required.
Responsibilities
The responsibilities include, but are not limited to:
  • Research, design, implement, and deploy Machine Learning algorithms for enterprise applications.
  • Assist and enable federal customers to build their own applications.
  • Contribute to the design and implementation of new features.

Required
  • Active Top Secret clearance with CI Polygraph or Full Scope Polygraph.
  • Bachelor's degree in Computer Science, Electrical Engineering, Statistics, or equivalent fields required.
  • MS or PhD in Computer Science, Electrical Engineering, Statistics, or equivalent fields preferred.
  • Minimum 5–10 years relevant work experience preferred.
  • Excellent programming skills in Python.
  • Applied Machine Learning experience (regression and classification, supervised, and unsupervised learning).
  • Strong mathematical background (linear algebra, calculus, probability, and statistics).
  • Experience with scalable Machine Learning (MapReduce, streaming).
  • Ability to drive a project and work both independently and in a team.
  • Smart, motivated, can-do attitude, and seeks to make a difference.
  • Excellent verbal and written communication skills.
  • Passion for developing team-oriented solutions to complex engineering problems.
  • Thrive in an autonomous, empowering, and exciting environment.
  • Ability to collaborate across multiple functional teams to improve scalability.
  • Ability to convey highly technical concepts and information in written form to both technical and non-technical audiences.
  • Ability to work on multiple concurrent projects.
  • Strong self-motivation and the ability to work with minimal supervision.
  • Team-oriented, energetic, results- and delivery-focused, with a strong commitment to quality and meeting deadlines.
  • Ability to work in an Agile environment.

Desired
  • Hands-on experience deploying and operating applications using IaaS and PaaS on major cloud providers, including Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP).
  • Proficient in leveraging modern LLM tools to accelerate development workflows and enhance code quality.
  • Experience with deep learning.
  • Experience with natural language processing (NLP).
  • Experience with computer vision.
  • Experience with reinforcement learning.