How much does a Data Scientist make in Alexandria, VA?
In Alexandria, VA, the field of data science offers a promising career path with competitive salaries. On average, data scientists in this area earn about $135,422 per year. This figure highlights the value placed on expertise in data analysis and interpretation. Such a salary can provide a stable and rewarding financial foundation for those in the field.
Salary figures for data scientists in Alexandria, VA, show a range of earnings based on experience and skills. The chart below breaks down these salaries:
- 10% of data scientists earn less than $90,600 per year.
- 25% earn less than $107,745 per year.
- 50% earn less than $124,891 per year.
- 75% earn less than $150,609 per year.
- 90% earn less than $167,755 per year.
These numbers reflect the earning potential across different levels of experience and expertise. Higher salaries often come with more responsibility and advanced skills.
What are the highest paying cities for a Data Scientist near Alexandria, VA?

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Quantico, VA
Average Salary: $159,323
Join the innovative data teams in Quantico and contribute to national security projects. Companies like CACI and Leidos offer great opportunities for growth and impactful work.
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Tysons Corner, VA
Average Salary: $151,591
Tysons Corner boasts a thriving tech scene with major players in finance and consulting. Seek roles with firms like Capital One and Booz Allen Hamilton to leverage your data skills.
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Arlington, VA
Average Salary: $146,280
Work alongside top defense contractors in Arlington. Firms such as Northrop Grumman and Leidos are known for their pioneering data initiatives.
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Lorton, VA
Average Salary: $142,460
Lorton offers a blend of government and private sector opportunities. Engage with data-driven tasks at organizations like The Mitre Corporation and ICF.
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Springfield, VA
Average Salary: $140,368
In Springfield, contribute to cutting-edge data solutions at companies like CACI and Deloitte. The city's strategic location provides diverse career paths.
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Falls Church, VA
Average Salary: $139,394
Falls Church offers a dynamic environment for data professionals. Work with companies like ManTech International and SAIC to shape the future of data analytics.
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Vienna, VA
Average Salary: $138,417
Vienna is home to many tech firms looking for analytical minds. Companies like ICF and ManTech provide excellent platforms for data innovation.
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Fairfax, VA
Average Salary: $137,485
Fairfax offers a rich landscape for data careers. Explore opportunities at Lockheed Martin and CACI to push the boundaries of data science.
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Silver Spring, MD
Average Salary: $136,040
Silver Spring's data sector is vibrant, with companies like Northrop Grumman and Booz Allen Hamilton needing skilled data professionals.
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Rockville, MD
Average Salary: $109,116
In Rockville, engage in data projects that matter at companies like Leidos and Northrop Grumman. The city offers a blend of challenges and growth.
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What are the best paying companies for a Data Scientist in Alexandria, VA?

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Booz Allen Hamilton
Average Salary: $138,541
Booz Allen Hamilton is a top firm for data scientists in Alexandria, VA. They focus on data analytics to help government and commercial clients. Their offices are in Alexandria, VA, and they have many other locations across the country.
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Applied Information Sciences
Average Salary: $117,500
Applied Information Sciences offers exciting data scientist jobs in Alexandria, VA. They work with government agencies to improve their data systems. The company operates in several locations, with a main office in Alexandria.
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Systems Planning and Analysis, Inc. (SPA)
Average Salary: $114,917
Systems Planning and Analysis, Inc. (SPA) is another great place for data scientists in Alexandria, VA. They help government and private clients manage their data needs. SPA has offices in Alexandria and other major cities.
What are the best paying Data Scientist related jobs in Alexandria, VA?

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Computer Scientist
Average Salary: $176,181
This role focuses on solving complex problems using computing techniques. It includes working with data and algorithms to develop new technologies. Companies like Amazon and Google look for talent in this area.
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Research Analyst
Average Salary: $175,672
This position involves gathering and interpreting data to provide insights. It supports decision-making by analyzing trends and patterns. Firms in the financial sector, like Capital One, often hire for this role.
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Market Intelligence Analyst
Average Salary: $167,000
This job involves collecting and analyzing market data. It helps companies understand market trends and make informed decisions. Major firms such as Deloitte and Accenture seek professionals for these roles.
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Machine Learning Engineer
Average Salary: $135,429
This role creates models that allow systems to learn from data. It involves programming and understanding algorithms. Tech giants like Microsoft and IBM hire for these positions.
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Software Engineer
Average Salary: $133,176
This position involves designing and developing software solutions. It requires strong programming skills and problem-solving abilities. Companies like Accenture and Amazon frequently recruit for these roles.
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Data Engineer
Average Salary: $124,490
This job focuses on building systems to collect and manage data. It ensures data is accessible and usable. Firms like Amazon and Google hire for these positions.
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Statistician
Average Salary: $107,596
This role involves analyzing data to draw conclusions. It uses statistical methods to interpret data. Companies such as the Census Bureau and NIH often hire statisticians.
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Business Intelligence Analyst
Average Salary: $107,499
This position analyzes business data to guide strategy. It involves using tools to visualize data. Firms in finance and tech, like Capital One, seek these professionals.
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Data Analyst
Average Salary: $92,483
This role involves analyzing data to support business decisions. It requires strong analytical skills and attention to detail. Companies such as IBM and Amazon often hire data analysts.
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Epidemiologist
Average Salary: $72,748
This position studies disease patterns and prevention. It involves data analysis to track outbreaks. Health organizations like the CDC and NIH hire for these roles.
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