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Manager Data Scientist Jobs in Virginia (NOW HIRING)

SAIC

Data Scientist

Chantilly, VA · On-site +1

$200K - $240K/yr

Engineering and Sciences Subcategory: Modeling/Sim Engr Schedule: Full-Time Shift: Day Job Travel ... Supports designing and managing data sets to ensure efficient data flow and interoperability with ...

SAIC

Data Scientist

Chantilly, VA · On-site

Responsibilities : • Supports designing and managing data sets to ensure efficient data flow and ... scientists, software developers, operators, project managers, and clients to prepare data for ...

SAIC

Data Scientist

Chantilly, VA · On-site

$200K - $240K/yr

As the Data Scientist you will support the analysis of complex data to drive strategic mission ... Supports designing and managing data sets to ensure efficient data flow and interoperability with ...

Elder Research Inc.

Data Scientist

Springfield, VA · On-site

$85 - $115/hr

... Data Scientist to join our team in Springfield, VA. Responsibilities ... Work directly with clients, managers and technical staff to understand business needs. * Develop ...

Leidos

Data Scientist

Mclean, VA · On-site

$107K - $195K/yr

Leverage automation and machine learning to manage data, predict scenarios, and make data-driven ... with knowledge of computer science concepts, data architecture, and statistical methods.

SAIC

Data Scientist

Chantilly, VA · On-site

$200K - $240K/yr

Engineering and Sciences Subcategory: Modeling/Sim Engr Schedule: Full-Time Shift: Day Job Travel ... Supports designing and managing data sets to ensure efficient data flow and interoperability with ...

Leidos

Data Scientist

Mclean, VA

$107K - $195K/yr

Leverage automation and machine learning to manage data, predict scenarios, and make data-driven ... with knowledge of computer science concepts, data architecture, and statistical methods.

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Showing results 21-40

All JobsData Scientist JobsManager Data Scientist JobsManager Data Scientist Jobs in Virginia

Manager Data Scientist information

See Virginia salary details

$45.6K

$163.6K

$241.4K

How much do manager data scientist jobs pay per year?

As of Aug 10, 2026, the average yearly pay for manager data scientist in Virginia is $163,603.00, according to ZipRecruiter salary data. Most workers in this role earn between $132,400.00 and $168,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a manager data scientist?

To thrive as a Manager Data Scientist, you need expertise in statistical analysis, machine learning, data modeling, and a relevant degree such as in computer science, mathematics, or statistics. Familiarity with tools like Python, R, SQL, cloud platforms (e.g., AWS, Azure), and experience with data visualization software and project management methodologies are commonly required. Strong leadership, effective communication, and the ability to mentor and guide teams are vital soft skills in this role. These competencies ensure successful project delivery, drive data-driven business decisions, and foster a productive, innovative team environment.

What is the difference between Manager Data Scientist vs Data Scientist?

AspectManager Data ScientistData Scientist
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; leadership experienceBachelor's or Master's in Data Science, Statistics, or related field
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersAnalyzes data, develops models, reports findings
Employer & Industry UsageUsed in organizations with data teams, tech, finance, healthcareFound across industries, entry to mid-level roles

The main difference is that a Manager Data Scientist oversees data teams and projects, focusing on leadership and strategic planning, while a Data Scientist primarily conducts data analysis and model development. The manager role involves more coordination, mentorship, and stakeholder communication, whereas the data scientist role emphasizes technical skills and hands-on analysis.

How does a manager data scientist typically collaborate with cross-functional teams to drive business outcomes?

As a Manager Data Scientist, you will work closely with teams such as engineering, product management, and business stakeholders to ensure data-driven solutions align with company goals. This collaboration often involves translating complex analytical findings into actionable insights, setting project priorities, and managing expectations. You will also facilitate communication between data scientists and non-technical teams to foster understanding and ensure successful project delivery. Building strong relationships and promoting a culture of data-driven decision-making are essential aspects of the role.

What is a manager data scientist?

Manager Data Scientists are professionals who oversee data science teams and projects within an organization. They combine advanced analytical skills with leadership abilities to guide data scientists, set project priorities, and ensure data-driven strategies align with business goals. In addition to technical expertise in data modeling, machine learning, and analytics, they are responsible for mentoring team members, managing resources, and communicating insights to stakeholders. Their role bridges the gap between technical execution and strategic decision-making.
What are the most commonly searched types of Data Scientist jobs in Virginia? The most popular types of Data Scientist jobs in Virginia are:
What cities in Virginia are hiring for Manager Data Scientist jobs? Cities in Virginia with the most Manager Data Scientist job openings:
Manager Data Scientist jobs near you
Infographic showing various Manager Data Scientist job openings in Virginia as of July 2026, with employment types broken down into 85% Full Time, 13% Part Time, and 2% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $163,603 per year, or $78.7 per hour.

Senior Manager, Data Science - US Card (Upmarket Segments)

Hobbsnews

Richmond, VA • On-site

$209 - $238.50/hr

Other

Posted 5 days ago

Job description

Senior Manager, Data Science – US Card (Upmarket Segments)

Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting‑edge technology in 1988. Fast‑forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in data‑driven decision‑making.

As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.

Role Description
  • Partner with a cross‑functional team of data scientists, software engineers, and product managers to deliver a product customers love.
  • Leverage a broad stack of technologies—including Python, Conda, AWS, H2O, Spark, and more—to reveal insights hidden within huge volumes of numeric and textual data.
  • Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation.
  • Flex your interpersonal skills to translate the complexity of your work into tangible business goals.
The Ideal Candidate Is
  • Customer first. You love the process of analyzing and creating, and share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers.
  • Innovative. You continually research and evaluate emerging technologies and stay current on state‑of‑the‑art methods, technologies, and applications to apply them.
  • Creative. You thrive on bringing definition to big, undefined problems, love asking questions, and push hard to find answers. You’re not afraid to share a new idea.
  • A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond.
  • Technical. You’re comfortable with open‑source languages and are passionate about developing further. You have hands‑on experience developing data science solutions using open‑source tools and cloud computing platforms.
  • Statistically‑minded. You have built, validated, and backtested models, interpreted a confusion matrix or a ROC curve, and have experience with clustering, classification, sentiment analysis, time series, and deep learning.
  • A data guru. “Big data” doesn’t faze you. You can retrieve, combine, and analyze data from a variety of sources and structures and know that understanding the data is key to great data science.
Basic Qualifications
  • Currently have, or are in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:
    • A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 7 years of experience performing data analytics.
    • A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 5 years of experience performing data analytics.
    • A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 2 years of experience performing data analytics.
  • At least 2 years of experience leveraging open‑source programming languages for large‑scale data analysis.
  • At least 2 years of experience working with machine learning.
  • At least 2 years of experience utilizing relational databases.
Preferred Qualifications
  • PhD in STEM (Science, Technology, Engineering, or Mathematics) plus 4 years of experience in data analytics.
  • At least 1 year of experience working with AWS.
  • At least 1 year of experience managing people.
  • At least 5 years’ experience in Python, Scala, or R for large‑scale data analysis.
  • At least 5 years’ experience with machine learning.
Compensation and Benefits
  • Chicago, IL: $209,000 – $238,500 for Senior Manager, Data Science
  • McLean, VA: $229,900 – $262,400 for Senior Manager, Data Science
  • New York, NY: $250,800 – $286,200 for Senior Manager, Data Science
  • Richmond, VA: $209,000 – $238,500 for Senior Manager, Data Science

Benefits include a comprehensive, competitive, and inclusive set of health, financial, and other benefits that support your total well‑being.

Work Authorization: Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

Equal Opportunity Employer

Capital One is an equal‑opportunity employer (EOE, including disability/vet) committed to non‑discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug‑free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with applicable laws.

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