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Data Science Jobs in Virginia (NOW HIRING)

Applied Information Sciences

Data Scientist

Alexandria, VA · On-site

$94K - $141K/yr

Provide data science and advanced data analytics to support federal investigations. * Utilize data mining techniques to find patterns in large data sets * Develop prototype software to meet the needs ...

Applied Information Sciences

Data Scientist

Alexandria, VA · On-site

$94K - $141K/yr

Provide data science and advanced data analytics to support federal investigations. * Utilize data mining techniques to find patterns in large data sets * Develop prototype software to meet the needs ...

Applied Information Sciences

Data Scientist

Alexandria, VA · On-site

$94K - $141K/yr

Provide data science and advanced data analytics to support federal investigations. * Utilize data mining techniques to find patterns in large data sets * Develop prototype software to meet the needs ...

VTG

Data Scientist

Mclean, VA · On-site

Bachelor's degree in computer science, Software Engineering, or related field. Required: * TS/SCI with Full Scope Polygraph * BS in a quantitative field (mathematics, data science, statistics) * At ...

VTG

Data Scientist

Mclean, VA

Stay current with emerging data science techniques, tools, and technologies Do you have what it takes? * Active TS/SCI with Polygraph required. * Bachelor's or Master's degree in Data Science ...

VTG

Data Scientist

Chantilly, VA

Stay current with emerging data science techniques, tools, and technologies Do you have what it takes? * Active TS/SCI with Polygraph required. * Bachelor's or Master's degree in Data Science ...

VTG

Data Scientist

Chantilly, VA · On-site

Bachelor's Degree in Data Science, Statistics, Mathematics, Computer Science, or related field * Preferred Qualifications: Experience supporting federal, DoD, or IC programs, Exposure to mission ...

VTG

Data Scientist

Herndon, VA

Stay current with emerging data science techniques, tools, and technologies Do you have what it takes? * Active TS/SCI with Polygraph required. * Bachelor's or Master's degree in Data Science ...

VTG

Data Scientist

Mclean, VA · On-site

Bachelor's degree in computer science, Software Engineering, or related field. Required: * TS/SCI with Full Scope Polygraph * BS in a quantitative field (mathematics, data science, statistics) * At ...

Elder Research

Data Scientist

Arlington, VA · On-site

You will contribute across the full data science lifecycle, from problem formulation and data exploration through model validation, deployment, and stakeholder communication. Responsibilities include ...

Elder Research

Data Scientist

Arlington, VA

You will contribute across the full data science lifecycle, from problem formulation and data exploration through model validation, deployment, and stakeholder communication. Responsibilities include ...

Booz Allen Hamilton, Inc.

Data Scientist

Alexandria, VA · On-site

In this role, you will apply data science techniques and methods and leverage a suite of data-driven tools to aid the client's service leadership and subject matter experts to increase decision space ...

Booz Allen Hamilton

Data Scientist

Alexandria, VA · On-site

In this role, you will apply data science techniques and methods and leverage a suite of data-driven tools to aid the client's service leadership and subject matter experts to increase decision space ...

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$37.2K

$121.7K

$194.8K

How much do data science jobs pay per year?

As of May 29, 2026, the average yearly pay for data science in Virginia is $121,686.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,700.00 and $134,800.00 per year, depending on experience, location, and employer.

What Does a Data Scientist Do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.

What are the key skills and qualifications needed to thrive as a Data Scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

More about Data Science jobs
What are the most commonly searched types of Data Science jobs in Virginia? The most popular types of Data Science jobs in Virginia are:
What are popular job titles related to Data Science jobs in Virginia? For Data Science jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Data Science jobs in Virginia look for? The top searched job categories for Data Science jobs in Virginia are:
What cities in Virginia are hiring for Data Science jobs? Cities in Virginia with the most Data Science job openings:
Data Science jobs near you
Infographic showing various Data Science job openings in Virginia as of May 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, and 4% Contract. Highlights an 83% Physical, 6% Hybrid, and 11% Remote job distribution, with an average salary of $121,686 per year, or $58.5 per hour.

Data Scientist

Applied Information Sciences

Alexandria, VA • On-site

$94K - $141K/yr

Full-time

Posted 3 days ago

Job description

Why AIS?

When you join AIS, you're joining a mission-driven team that's passionate about making a difference. You'll work on projects that matter, alongside industry-leading experts, in an environment that fosters innovation, driving client success, and empowering our team to make a lasting impact. As an employee-owned company, we value collaboration, inclusivity, continuous growth, and shared success.

  • Employee Ownership: Your contributions directly impact the company's success, and you share in its achievements.

  • Continuous Learning: Access to resources, training, and mentorship to support your professional growth.

  • Inclusive Culture: A workplace where diversity is celebrated, and everyone's voice is valued.

  • Mission-Driven Work: Engage in projects that make a meaningful difference for our clients and communities.

What are we looking for?

At AIS, we're looking for more than just skills - we're looking for driven individuals who are passionate about making a difference, eager to grow, and aligned with our core principles.

Working@AIS
At AIS, we are dedicated to providing our employees with diverse opportunities to grow their careers while supporting a variety of impactful projects. For this position, we are seeking a talented individual to join AIS as a Data Scientist.

As your initial project assignment, you will support the unique needs of our client as a Data Scientist.

Project Summary

AIS supports a Federal customer providing program and administrative support, analyzing fraud complaints, conducting proactive analysis of data, and providing specialized investigative support for criminal investigators conducting fraud and corruption investigations throughout the US.

Key Responsibilities

  • Provide data science and advanced data analytics to support federal investigations.

  • Utilize data mining techniques to find patterns in large data sets

  • Develop prototype software to meet the needs of specific data analytical tasks.

  • Participate in strategic planning sessions with case agents, fraud analytical groups and task forces in an effort to identify fraud and corruption schemes affecting the department.

  • Provide expertise in investigations by providing data input to affidavits and subpoenas and recommending possible investigative steps to obtain additional data.

  • Compile and analyze large-scale complex data sets, records, investigative files, complaint data and open-source intelligence data, including witness testimony, seized evidence, subpoenaed records/data, business records, contract claims data, in an effort to develop actionable intelligence information to assist in the investigation of fraud cases.

  • Help analyze and build profiles/links to identify criminal networks, offenses, suspects, and trends related to complex fraud schemes and patterns.

  • Review and analyze various law enforcement, internal, financial, and procurement databases, and conduct open-source searches to obtain necessary records to support complex investigations and prosecutions.

  • Input researched and analyzed data into various professional products including analytical summaries, graphs, or charts, and power point presentations for law enforcement use, prosecutions.

  • Fully proficient in the use of data science and data analytics software, including but not limited to Python, SAS, Structured Query Language (SQL), i2 Analyst's Notebook, Tableau and Centrifuge.

Required For This Opportunity

  • Experience should be a minimum of three (3) years in a Data Science role.

  • Bachelor's Degree in computer science, computer engineering, data science, or directly related science or engineering field.

  • An Active Secret clearance.

Nice to Have Skills

  • Experience with Databricks

  • Experience with Apache Spark

  • Master's Degree in Computer Science, Computer Engineering, Data Science, or directly related science or engineering field.



At AIS, we are committed to offering competitive and fair compensation that reflects the skills, experience, and contributions of each team member.

The targeted base salary range for this role is $94,000-$141,000 per year. Please note that this range is provided as a guideline and the final offer will be based on several factors, including but not limited to, skillset and competencies, level of experience, education, certifications, and location.

We value transparency in our hiring process and are happy to discuss how your unique qualifications align with our compensation structure during the interview process.



Applied Information Sciences does not discriminate on the basis of race, national origin, religion, color, gender, sexual orientation, age, disability, protected veteran status, or any other basis. Employment decisions are based solely on qualifications, merit, and business needs.

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