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Senior Computer Data Scientist Jobs in Virginia (NOW HIRING)

Job Summary Senior-most technical position responsible for leading the design, development ... Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Physics ...

Job Summary Senior-most technical position responsible for leading the design, development ... Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Physics ...

Data Scientist

Alexandria, VA · On-site

$116K - $174K/yr

For this position, we are seeking a talented individual to join AIS as a Senior Data Scientist.As ... Bachelor's Degree in Computer Science * At least 5+ years of experience in Data Science. * Must ...

What Impact You'll Have We are seeking a Senior Data Scientist to support mission-driven analytic and modernization efforts across the Intelligence Community. This role leverages advanced analytics ...

Data Scientist

Springfield, VA · On-site

$116K - $210K/yr

Job Summary Senior-most technical position responsible for leading the design, development ... Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Physics ...

Job Summary Senior-most technical position responsible for leading the design, development ... Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Physics ...

Job Summary Senior-most technical position responsible for leading the design, development ... Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Physics ...

Data Scientist, Senior

Alexandria, VA · On-site

$99K - $225K/yr

Bachelor's degree in Mathematics, Statistics, Computer Science, or Data Analytics Nice If You Have: * Experience developing dashboards using Grafana * Experience developing Web services or Web ...

Data Scientist

Alexandria, VA · On-site

$116K - $174K/yr

For this position, we are seeking a talented individual to join AIS as a Senior Data Scientist. As ... Bachelor's Degree in Computer Science * At least 5+ years of experience in Data Science. * Must ...

What Impact You'll Have We are seeking a Senior Data Scientist to support mission-driven analytic and modernization efforts across the Intelligence Community. This role leverages advanced analytics ...

Data Scientist

Springfield, VA · On-site

$116K - $210K/yr

Job Summary Senior-most technical position responsible for leading the design, development ... Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Physics ...

Job Summary Senior-most technical position responsible for leading the design, development ... Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Physics ...

Data Scientist, Senior

Alexandria, VA · On-site

$99K - $225K/yr

Bachelor's degree in Mathematics, Statistics, Computer Science, or Data Analytics Nice If You Have * Experience developing dashboards using Grafana * Experience developing Web services or Web ...

Data Scientist, Senior

Alexandria, VA · On-site

$99K - $225K/yr

Bachelor's degree in Mathematics, Statistics, Computer Science, or Data Analytics Nice If You Have: * Experience developing dashboards using Grafana * Experience developing Web services or Web ...

Senior Data Scientist

Vienna, VA · On-site

$160K - $180K/yr

The Senior Data Scientist must be prepared to dive deep into disparate data from multiple sources in multiple formats in order to integrate and evaluate to determine the most appropriate modeling ...

Description Senior Data Scientist AArete is one-of-a-kind when it comes to consulting firm culture ... as Data Science, Computer Science, Statistics, Economics, Math, Engineering, advanced degree ...

Showing results 41-60

Senior Computer Data Scientist information

What is the difference between Senior Computer Data Scientist vs Data Analyst?

AspectSenior Computer Data ScientistData Analyst
Required CredentialsBachelor's/Master's/PhD in Computer Science, Data Science, or related fields; experience with programming, machine learningBachelor's degree in Statistics, Mathematics, or related fields; proficiency in data visualization and basic analytics
Work EnvironmentDevelops models, algorithms, and advanced analytics; often in R&D or data science teamsPrepares reports, visualizations, and interprets data for business decisions
Employer & Industry UsageTech companies, finance, healthcare, and large enterprises with complex data needsRetail, marketing, finance, and smaller organizations focusing on data reporting

While both roles analyze data, Senior Computer Data Scientists focus on building advanced models and algorithms, requiring deeper technical expertise. Data Analysts primarily interpret and visualize data for business insights. The roles often overlap in data handling but differ in complexity and technical depth.

What does a senior computer data scientist do?

A senior computer data scientist analyzes large datasets to extract insights, develop predictive models, and support decision-making processes. They often use programming languages like Python or R, employ machine learning techniques, and collaborate with cross-functional teams to solve complex problems. Their role may also involve mentoring junior staff and ensuring data quality and security.

What cities in Virginia are hiring for Senior Computer Data Scientist jobs?

Cities in Virginia with the most Senior Computer Data Scientist job openings:

Infographic showing various Senior Computer Data Scientist job openings in Virginia as of June 2026, with employment types broken down into 87% Full Time, 6% Part Time, and 7% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Data Scientist

Springfield, VA • On-site

Leidos
IT Services • 10K+ employees

Full-time

Re-posted 20 days ago


Leidos rating

8.3

Company rating: 8.3 out of 10

Based on 154 frontline employees who took The Breakroom Quiz


Job description

Leidos is actively interviewing for a Data Scientist to join our team in Springfield, VA.
Job Summary
Senior-most technical position responsible for leading the design, development, deployment, and optimization of advanced data science solutions in support of government mission objectives. The Data Scientist serves as a recognized subject matter expert in statistical modeling, machine learning, artificial intelligence, data exploitation, and analytic tradecraft. This role requires on-site support at a government facility and close collaboration with mission operators, analysts, engineers, program leadership, and government stakeholders in secure environments.
Key Responsibilities
  • Lead the development and operationalization of advanced data science, machine learning, and artificial intelligence solutions for mission applications.
  • Design and implement statistical models, predictive analytics, forecasting methods, optimization models, and decision-support tools.
  • Extract, transform, integrate, and analyze structured, semi-structured, and unstructured data from multiple government and mission-relevant sources.
  • Develop and validate machine learning models for classification, regression, clustering, anomaly detection, ranking, recommendation, and pattern discovery.
  • Architect end-to-end analytic workflows, including data ingestion, feature engineering, model training, testing, deployment, monitoring, and lifecycle management.
  • Apply advanced quantitative methods to derive actionable insights from large, complex, and high-value datasets.
  • Collaborate with domain experts, mission analysts, software engineers, and government personnel to translate mission needs into technical solutions.
  • Evaluate model performance, quantify uncertainty, and ensure analytic validity, repeatability, and interpretability.
  • Support data governance, security, compliance, and responsible AI practices within government mission environments.
  • Prepare technical documentation, briefings, reports, white papers, and stakeholder presentations.
  • Advise leadership on data science strategy, analytic methodology, capability gaps, and technology insertion opportunities.

Required Technical Skills
  • Statistical modeling and inference
  • Machine learning and artificial intelligence
  • Predictive analytics and forecasting
  • Data mining and pattern analysis
  • Feature engineering and model evaluation
  • Data wrangling, integration, and transformation
  • Python, R, SQL, and scientific computing libraries
  • Visualization and dashboarding tools
  • Model deployment, monitoring, and lifecycle support
  • Documentation, briefing development, and technical communication

Basic Qualifications
  • Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Physics, or a related quantitative field.
  • Minimum of 12-15 years of relevant professional combined experience in data science, advanced analytics, machine learning, artificial intelligence, or statistical modeling.
  • Demonstrated experience developing and deploying production-grade analytic or machine learning solutions in government, defense, intelligence, or other highly regulated environments.
  • Deep knowledge of statistical inference, probability, experimental design, predictive modeling, and machine learning methods.
  • Strong programming experience in Python, R, SQL, or similar analytic languages.
  • Experience working with large, complex, and potentially disparate datasets in enterprise environments.
  • Familiarity with model validation, explainability, bias assessment, and performance evaluation techniques.
  • Strong written and verbal communication skills with the ability to explain complex technical findings to diverse audiences.
  • Active TS/SCI with ability to be approved for a Poly

Preferred Qualifications
  • Master's degree or Ph.D. in a relevant quantitative or technical discipline.
  • Experience supporting DoD, IC, DHS, civilian federal agencies, or other government mission environments.
  • Experience with deep learning, natural language processing, computer vision, graph analytics, time series analysis, or reinforcement learning.
  • Familiarity with cloud platforms, MLOps, DevSecOps, and containerized deployment environments.
  • Experience with distributed computing, big data platforms (Spark/Databricks or similar), and workflow orchestration tools.
  • Familiarity with emerging Artificial Intelligence (AI) technologies, tools, and methodologies, with an understanding of their applications, implications, and integration into daily geospatial and intelligence workflows.
  • Knowledge of data architecture, data engineering, and enterprise analytics ecosystems.
  • Experience briefing senior government leadership and mission stakeholders.

If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares.
Original Posting:
August 6, 2026
For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.
Pay Range:
Pay Range $116,350.00 - $210,325.00
The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

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About Leidos

Sourced by ZipRecruiter

At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers' success. We empower our teams, contribute to our communities, and operate sustainable practices. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Reston, VA, US

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