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Data Science Machine Learning Jobs in Alexandria, VA

Fannie Mae

Audit Data Science Advisor

Washington, DC

  • Medical

  • Life

You will apply deep expertise in data science, machine learning, AI techniques, large-scale data processing, computational programming, and practical problem solving, with the ability to clearly ...

Fanniemae

Audit Data Science Advisor

Reston, VA

  • Medical

  • Life

You will apply deep expertise in data science, machine learning, AI techniques, large-scale data processing, computational programming, and practical problem solving, with the ability to clearly ...

Fanniemae

Audit Data Science Advisor

Washington, DC · On-site

  • Medical

  • Life

You will apply deep expertise in data science, machine learning, AI techniques, large-scale data processing, computational programming, and practical problem solving, with the ability to clearly ...

KDA Consulting Inc

Data Scientist

Chantilly, VA · On-site

Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, or a related field (or equivalent experience) Strong experience in data science, machine learning, and statistical ...

KDA Consulting Inc

Data Scientist

Herndon, VA · On-site

Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, or a related field (or equivalent experience) Strong experience in data science, machine learning, and statistical ...

KDA Consulting Inc

Data Scientist

Chantilly, VA · On-site

Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, or a related field (or equivalent experience) Strong experience in data science, machine learning, and statistical ...

KDA Consulting Inc

Data Scientist

Mclean, VA · On-site

Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, or a related field (or equivalent experience) Strong experience in data science, machine learning, and statistical ...

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Showing results 21-40

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.

Data Scientist, Level 3

Independent Software, Inc.

Annapolis Junction, MD • On-site

Full-time

Re-posted 21 days ago

Job description

Job Summary:
Independent Software, Inc. is focused on supporting mission-critical national security operations. As a Data Scientist Level 3, you will apply advanced data science, machine learning, and statistical techniques to large-scale datasets, working across the full data lifecycle to generate actionable insights and support cyber threat analysis.
Responsibilities:
• Apply machine learning, statistical analysis, and computational techniques to analyze large and complex datasets
• Develop, implement, and refine analytical algorithms to improve performance and mission outcomes
• Perform data curation, normalization, transformation, and integration across multiple data sources
• Design and build automated data processing pipelines and reproducible analytics workflows
• Conduct exploratory data analysis, hypothesis testing, and statistical modeling
• Develop models for inference, prediction, and domain-specific analytics
• Create data visualizations to effectively communicate analytical results
• Translate mission requirements into technical data solutions and analytical workflows
• Communicate findings and recommendations to both technical and non-technical stakeholders
• Collaborate with analysts, engineers, and mission partners to support cyber and mission objectives
Qualifications:
Required:
• Strong experience in data science, machine learning, and statistical analysis
• Proficiency in Python and experience working in data analysis environments (e.g., Jupyter Notebooks)
• Experience working with large-scale data and Big Data platforms (e.g., Spark or similar technologies)
• Experience performing tasks associated with Big Data platform management and distributed data processing environments
• Experience developing, implementing, and refining analytical algorithms to improve performance and scalability
• Experience supporting data visualization and presenting analytical results through dashboards or visual tools
• Strong background in mathematics, statistics, and computational methods
• Experience with data processing, including cleaning, transformation, and normalization
• Understanding of network traffic, protocols, and cyber-related data is strongly preferred
• Experience with workflow automation and reproducible analytics
• Ability to analyze data in varying states of completeness and structure
• Experience with Natural Language Processing (NLP), Artificial Intelligence (AI), Large Language Models (LLMs), or other advanced machine learning technologies is highly desired
• Experience developing or supporting customer dataflows, data ingestion pipelines, and large-scale data processing workflows is preferred
• Strong problem-solving, analytical, and communication skills
• Master’s degree in Computer Science, Computer Engineering, Information Systems, or a related discipline and six (6) years of relevant experience; OR
• Bachelor’s degree in a related discipline and eight (8) years of relevant experience; OR
• Associate’s degree in a related discipline and ten (10) years of relevant experience
• Relevant experience must include work with large-scale data, data science, machine learning, or cyber threat / network analysis in a mission or operational environment
• Must possess an active TS SCI with appropriate Polygraph to be considered for this role
Preferred:
• Understanding of network traffic, protocols, and cyber-related data is strongly preferred
• Experience with workflow automation and reproducible analytics
• Experience with Natural Language Processing (NLP), Artificial Intelligence (AI), Large Language Models (LLMs), or other advanced machine learning technologies is highly desired
• Experience developing or supporting customer dataflows, data ingestion pipelines, and large-scale data processing workflows is preferred
Company:
Independent Software supports our customers by providing next-generation cyber services, intelligence and all-source analytics, machine learning, and mission application development. Founded in 2005, the company is headquartered in Ellicott City, USA, with a team of 11-50 employees. The company is currently Early Stage.

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