How much does a Data Scientist make in Chantilly, VA?
Data scientists in Chantilly, VA, enjoy a competitive salary. On average, they earn around $153,603 per year. This salary reflects the value companies place on their data skills and expertise. Experienced data scientists often earn more, with some salaries reaching over $230,000 a year.
Here is a breakdown of the salary ranges:
- 10% earn less than $111,650
- 20% earn between $111,650 and $122,409
- 30% earn between $122,409 and $133,168
- 40% earn between $133,168 and $143,927
- 50% earn between $143,927 and $154,686
- 60% earn between $154,686 and $165,445
- 70% earn between $165,445 and $176,205
- 80% earn between $176,205 and $186,964
- 90% earn between $186,964 and $197,723
- 95% earn less than $208,482
- 99% earn less than $230,000
What are the highest paying cities for a Data Scientist near Chantilly, VA?

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Herndon, VA
Average Salary: $149,031
In Herndon, you'll find a thriving tech scene with many opportunities for those in data roles. Companies like Northrop Grumman and Booz Allen Hamilton are hiring skilled professionals. The area offers a mix of big firms and startups, providing diverse experiences.
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Tysons, VA
Average Salary: $148,385
Tysons is known for its bustling business environment, making it an excellent place for data professionals. Major employers such as CACI International and Maximus are looking for top talent. The city's dynamic workplace offers many chances to grow and innovate.
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Sterling, VA
Average Salary: $142,257
Sterling has a growing demand for data experts, with companies like BAE Systems and Leidos seeking skilled individuals. This area combines a supportive community with a range of job opportunities. It’s an ideal place for those wanting to advance their careers in data analytics.
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Arlington, VA
Average Salary: $142,051
Arlington offers a vibrant job market for data professionals, with big names like Amazon and Deloitte hiring. The city's strategic location near Washington, D.C., provides a wealth of networking opportunities. It’s an excellent area for career growth and professional development.
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Fairfax, VA
Average Salary: $141,736
Fairfax is home to many tech companies, including ICF International and Northrop Grumman. This city provides a dynamic environment for data scientists to work on exciting projects. With a mix of corporate giants and innovative startups, it’s a great place for career advancement.
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Reston, VA
Average Salary: $138,962
Reston is known for its thriving tech industry, with companies like Booz Allen Hamilton and CACI International seeking data experts. This city offers a mix of big firms and smaller, growing businesses, giving professionals plenty of choices. It’s an excellent area for those wanting to work in a fast-paced tech environment.
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Alexandria, VA
Average Salary: $128,556
Alexandria provides a rich landscape for data professionals, with employers like Raytheon and CACI. The city’s historic charm combines with a modern tech sector, offering a unique work experience. It’s a wonderful place to build a career in data analytics.
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What are the best paying companies for a Data Scientist in Chantilly, VA?

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IBM
Average Salary: $179,101
IBM offers exciting opportunities for Data Scientists in Chantilly, VA. They work on various projects for government and commercial clients. IBM operates globally with offices in many countries.
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General Dynamics Information Technology
Average Salary: $165,746
General Dynamics Information Technology provides top-notch Data Scientist positions in Chantilly, VA. They focus on projects that support national security. The company has locations across the United States.
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SAIC
Average Salary: $163,000
SAIC hires Data Scientists in Chantilly, VA to work on innovative projects. They have a strong focus on government contracts. The company operates with offices in multiple locations nationwide.
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Pendulum
Average Salary: $159,667
Pendulum offers competitive Data Scientist roles in Chantilly, VA. They work on data-driven projects for various industries. Pendulum has a presence in several major cities in the US.
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Orbis Operations
Average Salary: $158,667
Orbis Operations provides rewarding Data Scientist jobs in Chantilly, VA. They focus on delivering data solutions to clients in the government and private sectors. The company operates with a nationwide presence.
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2HB Incorporated
Average Salary: $142,917
2HB Incorporated hires Data Scientists in Chantilly, VA to work on challenging projects. They support clients in the defense and intelligence sectors. The company has offices in several key locations in the United States.
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CACI International
Average Salary: $141,980
CACI International offers attractive Data Scientist positions in Chantilly, VA. They focus on providing mission-critical solutions to government clients. The company operates with a strong presence across the nation.
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Booz Allen Hamilton
Average Salary: $139,525
Booz Allen Hamilton hires Data Scientists in Chantilly, VA to work on impactful projects. They serve both government and commercial clients. The company has multiple locations across the United States.
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Noblis
Average Salary: $137,177
Noblis provides Data Scientist jobs in Chantilly, VA that focus on innovative projects. They work closely with government agencies and private sector clients. The company has offices in several key locations nationwide.
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Sabree Software Services
Average Salary: $130,750
Sabree Software Services offers Data Scientist roles in Chantilly, VA that focus on delivering data-driven solutions. They serve clients in various industries. The company has a presence in multiple key locations across the US.
What are the best paying Data Scientist related jobs in Chantilly, VA?

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Clinical Data Management Director
Average Salary: $191,750
Clinical Data Management Directors lead teams that ensure data accuracy in healthcare research. They work with pharmaceutical and biotech companies to oversee clinical trials. This position requires a blend of data expertise and leadership.
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Business Intelligence Analyst
Average Salary: $166,033
Business Intelligence Analysts interpret data to improve business operations. They analyze data to help companies make better decisions. These professionals often collaborate with departments across an organization to ensure data-driven insights are applied.
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Data Engineer
Average Salary: $165,294
Data Engineers build systems that collect and manage data. They work with IT teams to create pipelines for data flow. Their role is crucial in ensuring data is accessible and usable for analysis and business needs.
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Machine Learning Engineer
Average Salary: $151,896
Machine Learning Engineers develop algorithms that allow machines to learn from data. They work closely with data scientists to implement models. This role involves coding, testing, and deploying models in tech companies.
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Data Modeler
Average Salary: $151,238
Data Modelers design the structure of data systems. They create schemas and maps for data storage. These professionals ensure that data is organized and accessible for analysis and reporting.
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Software Engineer
Average Salary: $146,800
Software Engineers develop applications and systems to solve problems. They often work in tech firms, creating software that utilizes data insights. Their skills in programming and problem-solving are key to this role.
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Data Analyst
Average Salary: $114,800
Data Analysts examine data sets to draw meaningful insights. They work in various industries to interpret data and suggest improvements. They use tools and software to present findings clearly and effectively.
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Statistician
Average Salary: $114,000
Statisticians analyze data to predict trends and outcomes. They use statistical methods to interpret data and make informed recommendations. They often work in research and academic settings to support decision-making processes.
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Intelligence Analyst
Average Salary: $107,555
Intelligence Analysts evaluate data to provide strategic insights. They often work in government or defense roles, assessing data to support national security. Their work involves careful analysis and critical thinking.
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Quantitative Analyst
Average Salary: $87,925
Quantitative Analysts use mathematical models to inform business decisions. They work in finance and investment sectors, evaluating market trends. Their role involves statistical analysis and risk assessment to guide investment strategies.
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