1

Top Data Science Jobs in Virginia (NOW HIRING)

Data Science Lead

Hampton, VA · On-site

$135K - $216K/yr

The Data Scientist will play a critical role in leveraging advanced data analytics, machine ... Security Clearance: Active Top Secret/SCI clearance is required. Preferred Qualifications:

Data Science Lead

Hampton, VA · On-site

$135K - $216K/yr

The Data Scientist will play a critical role in leveraging advanced data analytics, machine ... Security Clearance: Active Top Secret/SCI clearance is required. Preferred Qualifications:

Data Science Lead

Hampton, VA · On-site

$135K - $216K/yr

The Data Scientist will play a critical role in leveraging advanced data analytics, machine ... Security Clearance: Active Top Secret/SCI clearance is required. Preferred Qualifications:

Active Top Secret security clearance with SCI + CI Poly eligibility * A Bachelor's Degree in Data Science, Math, Finance, Statistics, Information Management, Computer Science, Engineering, Economics ...

Data Scientist

Alexandria, VA · On-site

$105K - $125K/yr

Secret clearance with the ability to secure a Top-Secret and SCI eligibility. * Able to work fully onsite based on client needs. Desired: * 4+ years of hands-on experience with applying data science ...

New

Data Scientist

Alexandria, VA · On-site

$105K - $125K/yr

Secret clearance with the ability to secure a Top-Secret and SCI eligibility. * Able to work fully onsite based on client needs. Desired: * 4+ years of hands-on experience with applying data science ...

Data Scientist

Alexandria, VA · On-site

$105K - $125K/yr

Secret clearance with the ability to secure a Top-Secret and SCI eligibility. * Able to work fully onsite based on client needs. Desired: * 4+ years of hands-on experience with applying data science ...

New

Active Top Secret/SCI Clearance. * MA/MS with 10+ years' experience; BA/BS with 15+ years; AA/AS with 17+ years; or HS/GED with 19+ years. Demonstrated experience applying data science methodologies ...

US CITIZENSHIP REQUIRED and an active Top Secret Security Clearance with SCI eligibility * Masters or Ph.D in Data Science, Computer Science, Engineering, Applied Mathematics, Physics, Physical or ...

next page

Showing results 1-20

Top Data Science information

See Virginia salary details

$37.2K

$121.7K

$194.8K

How much do top data science jobs pay per year?

As of Jul 14, 2026, the average yearly pay for top 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 is the difference between Top Data Science vs Data Analyst?

AspectTop Data ScienceData Analyst
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related fields; often includes certifications in machine learning or AIBachelor's in Statistics, Mathematics, or related fields; certifications in data analysis tools are common
Work EnvironmentResearch and development teams, data science departments, often in tech or finance industriesBusiness units, marketing, finance, or operations teams across various industries
Employer & Industry UsageTech companies, finance, healthcare, e-commerce, and startups focusing on predictive modeling and AIRetail, finance, healthcare, and other sectors focusing on reporting and data interpretation

Top Data Science roles focus on advanced analytics, machine learning, and predictive modeling, requiring specialized skills and higher-level credentials. Data Analysts primarily handle data reporting, visualization, and basic analysis. While both roles work with data, Top Data Science positions involve more complex modeling and algorithm development, often in tech-driven environments.

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

To thrive as a Top Data Scientist, you need advanced proficiency in statistics, machine learning, and programming (commonly in Python or R), typically supported by a degree in computer science, mathematics, or a related field. Familiarity with data analysis tools like Pandas, NumPy, TensorFlow, and data visualization platforms, as well as experience with big data infrastructure such as Hadoop or Spark, is essential. Strong problem-solving ability, critical thinking, and effective communication skills distinguish top performers in this field. These skills and qualities are crucial for extracting actionable insights from complex datasets and driving data-driven decision-making in organizations.

What is a data scientist?

A data scientist is a professional who analyzes and interprets complex digital data to help organizations make informed decisions. They use techniques from statistics, computer science, and machine learning to extract insights from large datasets. Data scientists often build predictive models, visualize data trends, and communicate findings to stakeholders. Their work helps businesses optimize operations, identify new opportunities, and solve challenging problems using data-driven approaches.

Which 5 jobs will survive AI?

Top data science roles such as data analysts, machine learning engineers, data engineers, AI specialists, and business intelligence analysts are expected to persist as AI automates routine tasks. These jobs require advanced analytical skills, programming knowledge, and domain expertise that are less susceptible to automation. Continuous learning and proficiency in tools like Python, R, and SQL will help professionals stay relevant.

What professions make 500,000 a year?

In data science, senior roles such as Lead Data Scientist, Machine Learning Director, or Chief Data Officer can earn $500,000 or more annually, especially with extensive experience, advanced skills in programming and analytics, and leadership responsibilities. High compensation often involves working in large organizations, consulting, or executive positions that oversee data strategy and teams.

What jobs pay 200,000 a year in the USA?

In data science, senior roles such as Lead Data Scientist, Data Science Manager, or Principal Data Scientist can earn $200,000 or more annually, especially with extensive experience, advanced skills in machine learning, and proficiency in tools like Python or R. High-paying roles often require advanced degrees, strong domain knowledge, and leadership responsibilities within organizations.

What are some typical challenges a data scientist faces when working on cross-functional teams?

Data scientists often collaborate with professionals from engineering, product management, and business units, which can present challenges such as aligning on project goals, communicating complex technical findings to non-technical stakeholders, and managing differing priorities. It’s common to navigate ambiguity in data requirements or business objectives, requiring strong communication and adaptability. Building successful partnerships across functions is key to ensuring that data-driven insights are actionable and impactful.

What is the best job in data science?

The top data science roles include data scientist, machine learning engineer, and data analyst, depending on experience and specialization. Data scientists typically require strong programming skills in Python or R, knowledge of statistical methods, and experience with data visualization tools. These roles often offer high demand, competitive salaries, and opportunities to work on complex data-driven projects.
Data Scientist

Data Scientist

California Creative Solutions Inc.

Mclean, VA • On-site

Other

Re-posted 18 days ago


Job description

Job Summary:

The office conducts high profile and short fuse data science and targeting requirements on a priority mission. The sponsor requires deep subject matter expertise in data science, tool interoperability, graph databases, cloud networks, and mission IT systems. The Sponsor requires support to process, standardize, aggregate, correlate, model, and exploit technical data. The team will work across multiple data environments and applications and develop custom tools and data processing pipelines.
Please Note:
This job requires an existing Top Secret Clearance and Polygraph.

Responsibilities and Duties:

  • The Team shall work closely with other teams, including data science and programming teams within the Sponsor's broader mission component. The Sponsor project manager will manage the priorities, with The Team working to implement those priorities.
  • The Team shall take the Sponsor's mission needs and convert those into technical milestones consistent with the Sponsor's data science requirements.
  • The Team shall develop and manage data processing ETL pipelines.
  • The Team shall provide ad hoc trainings to Sponsor's data users on custom tools and data exploitation consist stent with established use cases.
  • The Team shall use software such as Python, Neo4J, Streamlit, and similar to create user-facing tools that incorporate advanced data science methodologies and approaches.
  • The Team shall identify ways in which those user-facing tools can leverage existing Large Language Models (LLMs) available to the Sponsor in order to accelerate data science workflows.
  • The Team shall identify existing or emerging data science workflows within the Sponsor's broader office that would accelerate the Sponsor's data science mission.
  • The Team shall leverage all available big data and data science coding platforms, tools, and similar to implement Sponsor's technical goals for data management.
  • The Team shall anticipate having to CONUS and OCONUS travel, infrequently at the Sponsor's direction.

Experience Needed:

  • Citizenship: Must Be a US Citizen
  • Existing Clearance Required: Active Top Secret SCI with Poly
  • Demonstrated mastery of data exploitation and data enrichment, using tools such as ElasticSearch, Neo4j, and similar.
  • Demonstrated experience with complex Extraction, Transformation, Load (ETL) pipelines with both NiFi and Pentaho and experience with batch data processing and data streamlining workflows.
  • Demonstrated experience leveraging unsupervised machine learning models to answer complex customer queries.
  • Demonstrated experience with a range of Python packages and graph databases.
  • Demonstrated ability to write queries that span multiple big data repositories of differing levels of sensitivity.
  • Demonstrated experience with backend software engineering processes and scientific computing with proven experience with relevant programming languages.

Optional Skills:

  • Demonstrated track record of fulfilling Sponsor mission needs and scaling capabilities to production.
  • Demonstrated experience leading complex data science teams.
  • Demonstrated experience with machine learning solutions.
  • Demonstrated experience working with foreign and domestic partners of the Sponsor.
  • Demonstrated experience writing custom algorithms for data exploitation.
  • Demonstrated experience with complex graph database queries.
  • Demonstrated experience working in high operational tempo environments.

California Creative Solutions logo

About California Creative Solutions

Sourced by ZipRecruiter

CCS Global Tech is a Certified Minority-Owned Business based in Poway, California. From our beginnings as a one-man operation in 1997, we’ve grown into an international organization of 700+ employees with offices in five countries and an extensive global reach. We specialize in innovative technology solutions, including business intelligence, analytics, data mining, migrations/integrations, cloud computing, cloud hosting, Microsoft Azure, and more.

Industry

Technology, communication and media

Company size

201 - 500 Employees

Headquarters location

Poway, CA, US