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Data Science Manager Jobs in Virginia (NOW HIRING)

VTG

Data Scientist

Chantilly, VA · On-site

May conduct data engineering and data management. May lead with the selection of appropriate analytical approaches towards automation. Reviews and defines requirements for data science cybersecurity ...

VTG

Data Scientist

Chantilly, VA · On-site

May conduct data engineering and data management. May lead with the selection of appropriate analytical approaches towards automation. Reviews and defines requirements for data science cybersecurity ...

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$30.7K

$96.3K

$170.5K

How much do data science manager jobs pay per year?

As of May 28, 2026, the average yearly pay for data science manager in Virginia is $96,311.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,400.00 and $124,400.00 per year, depending on experience, location, and employer.

What is a Data Science Manager job?

A Data Science Manager leads a team of data scientists to develop and implement data-driven solutions for business challenges. They oversee project timelines, ensure the quality of data analysis, and collaborate with cross-functional teams to drive decision-making. In addition to technical expertise, they require strong leadership, communication, and strategic thinking skills. Their role bridges the gap between data science initiatives and business objectives, ensuring the team's work aligns with company goals.

What are the key skills and qualifications needed to thrive in the Data Science Manager position, and why are they important?

To thrive as a Data Science Manager, you need strong analytical skills, experience in machine learning and data analytics, and a background in statistics or computer science, often supported by an advanced degree. Familiarity with tools like Python, R, SQL, cloud platforms, and experience managing data science projects are highly valued, and certifications such as Certified Analytics Professional (CAP) can be advantageous. Excellent leadership, project management, and communication skills are crucial for guiding teams and translating technical findings for stakeholders. These abilities ensure effective team performance, successful project delivery, and the alignment of data science initiatives with organizational goals.

What are the primary responsibilities of a Data Science Manager on a day-to-day basis?

As a Data Science Manager, your daily responsibilities typically include overseeing a team of data scientists and analysts, setting project priorities, and ensuring the timely delivery of data-driven solutions. You will often collaborate with cross-functional teams, such as engineering, product, and business stakeholders, to define problems, scope solutions, and communicate analytical insights. Your role also involves mentoring team members, reviewing code and analysis, and driving best practices in data science methodologies. This position requires balancing technical project oversight with team leadership and strategic business alignment.
More about Data Science Manager jobs
What are the most commonly searched types of Data Science jobs in Virginia? The most popular types of Data Science jobs in Virginia are:
What are popular job titles related to Data Science Manager jobs in Virginia? For Data Science Manager jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Data Science Manager jobs in Virginia look for? The top searched job categories for Data Science Manager jobs in Virginia are:
What cities in Virginia are hiring for Data Science Manager jobs? Cities in Virginia with the most Data Science Manager job openings:
Data Science Manager jobs near you
Infographic showing various Data Science Manager job openings in Virginia as of May 2026, with employment types broken down into 76% Full Time, 3% Part Time, and 21% Contract. Highlights an 92% In-person, and 8% Remote job distribution, with an average salary of $96,311 per year, or $46.3 per hour.
Data Scientist

Data Scientist

VTG

Chantilly, VA • On-site

Full-time

Posted 19 days ago

Job description

Overview

VTG is looking for a Level 2 and Level 3 Data Scientist in Chantilly VA. (Note: position is contingent upon program award)


What will you do?
A Data Scientist represents an effective arbiter of strong technical knowledge and clear communication to inform decision makers and warfighters. Main responsibilities of data scientists include a strong understanding in statical methods, predictive modeling, machine learning, deep learning, data visualizations, and data management. Depending on the specific position, data scientists may also need knowledge on other fields such as cybersecurity or business analytics due to the widespread use of data science concepts. Data scientists must be comfortable with regularly interacting with the customer/warfighter to receive feedback and guide future work and be confident to present information to decision makers. The impact an experienced data scientist can have on an organization is immense including automating manual processes, predicting future trends, and detecting anomalies. Data Scientist experience level descriptions and qualifications are listed below.
 
Data Scientist, Level 2 (Intermediate) Functional Description: In addition to being responsible for applying data science techniques for cybersecurity solutions. May extract, transform, load, analyze and interpret relevant IA (information assurance) data for timely analytic use, provide reports on any associated patterns, anomalies, and potential security concerns, and support relevant data management. May use machine learning and statistical approaches based on the analysis of the dataset. May prepare visualizations including dashboards, graphs, and presentations to communicate cybersecurity recommendations. May conduct and/or support data engineering and data management. May assist with the selection of appropriate analytical approaches towards automation. Reviews and defines requirements for data science cybersecurity approaches. Tools used to include the following or equivalent: AWS, Spark, Kafka, Tableau, Python (e.g., TensorFlow and PyTorch), R (e.g., tidyverse, RShiny), Splunk. Familiarity with the Agile (i.e., Scrum, Jira, Confluence) or equivalent project management process preferred, the Level 2 Data Scientist (Intermediate) is responsible for designing data science techniques for cybersecurity solutions. May adjust and create machine learning and statistical approaches based on the analysis of the dataset. May analyze visualizations including dashboards, graphs, and presentations to communicate cybersecurity recommendations. May conduct data engineering and data management. May lead with the selection of appropriate analytical approaches towards automation. Reviews and defines requirements for data science cybersecurity approaches. 
 
Data Scientist Level 3 (Senior) Functional Description: In addition to achieved duties described in Level 2, the Data Scientist Level 3 is responsible for overseeing data science techniques for cybersecurity solutions. May lead teams to extract, transform, load, analyze and interpret relevant IA (information assurance) data for timely analytic use, provide reports on any associated patterns, anomalies, and potential security concerns, and support relevant data management. May advise machine learning and statistical approaches based on the analysis of the dataset. May present visualizations including dashboards, graphs, and presentations to communicate cybersecurity recommendations. May spearhead data engineering and data management. May advise appropriate analytical approaches towards automation. Establishes requirements for data science cybersecurity approaches. 
 
 

Do you have what it takes?
Requirements:
All positions require: TS/SCI with Poly
 
Level 2 Data Scientist:
  • Data Scientist Level 2 Qualifications: Bachelor's degree or equivalent and five (5) years of relevant experience in data science, mathematics, statistics, business analytics, or equivalent quantitative field, preferably with exposure to cybersecurity applications and/or operations.
  • Includes strong knowledge of data visualizations, large language models (LLMs), and machine learning principles, techniques, and technologies.

Level 3 Data Scientist:

  • Data Scientist Level 3 Qualifications: Bachelor's degree or equivalent and seven (7) years of relevant experience in data science, mathematics, statistics, business analytics, or equivalent quantitative field, preferably with exposure to cybersecurity applications and/or operations.
  • Includes expert knowledge of data visualizations, large language models (LLMs), and machine learning principles, techniques, and technologies
Qualifications:
Requirements:
All positions require: TS/SCI with Poly
 
Level 2 Data Scientist:
  • Data Scientist Level 2 Qualifications: Bachelor's degree or equivalent and five (5) years of relevant experience in data science, mathematics, statistics, business analytics, or equivalent quantitative field, preferably with exposure to cybersecurity applications and/or operations.
  • Includes strong knowledge of data visualizations, large language models (LLMs), and machine learning principles, techniques, and technologies.

Level 3 Data Scientist:

  • Data Scientist Level 3 Qualifications: Bachelor's degree or equivalent and seven (7) years of relevant experience in data science, mathematics, statistics, business analytics, or equivalent quantitative field, preferably with exposure to cybersecurity applications and/or operations.
  • Includes expert knowledge of data visualizations, large language models (LLMs), and machine learning principles, techniques, and technologies
Education:UNAVAILABLEEmployment Type: FULL_TIME

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