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Manager Of Data Science Jobs in Washington (NOW HIRING)

Data Scientist

Chantilly, VA · On-site

$100 - $140/hr

May conduct/support data engineering and data management, assist with selecting appropriate ... Bachelor's degree or equivalent and five (5) years of relevant experience in data science ...

As a part of the Data Science team you'll have opportunities to work on projects that expand your ... Management) and can communicate in a crisp manner. Mastery of English is required for this role ...

As a part of the Data Science team you'll have opportunities to work on projects that expand your ... Management) and can communicate in a crisp manner. Mastery of English is required for this role ...

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 ...

Data Science Tutor

Rockville, MD · Remote

$18 - $40/hr

All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ... product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Data Science Tutor

Washington, DC · Remote

$18 - $40/hr

All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ... product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Data Science Tutor

Fairfax, VA · Remote

$18 - $40/hr

All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ... product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Data Science Tutor

Alexandria, VA · Remote

$18 - $40/hr

All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ... product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Data Science Tutor

Leesburg, VA · Remote

$18 - $40/hr

All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ... product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Data Science Tutor

Laurel, MD · Remote

$18 - $40/hr

All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ... product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ... product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Data Science Tutor

Bowie, MD · Remote

$18 - $40/hr

All from the comfort of your home. Why Join Our Platform? * Earn incrementally higher pay for each ... product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

This role will lead multiple data science team members with a significant portfolio of initiatives ... managers and senior ICs, coach technical and leadership growth, and foster a culture of ...

Senior Data Scientist

Chantilly, VA · On-site

$130K - $160K/yr

... management * Developing customer-facing reporting tools to provide timely and accurate decision-support and information * Understanding of how data science enables cost estimating, IPM and cross ...

Showing results 21-40

Manager Of Data Science information

See Washington salary details

$35.1K

$110K

$194.8K

How much do manager of data science jobs pay per year?

As of Sep 6, 2026, the average yearly pay for manager of data science in Washington is $110,026.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,800.00 and $142,100.00 per year, depending on experience, location, and employer.

What is a manager of data science?

A Manager of Data Science is a leadership role responsible for overseeing a team of data scientists and analysts, guiding data-driven projects, and ensuring that business objectives are met through data analysis and modeling. They collaborate with stakeholders to identify business needs, design analytical solutions, and manage the end-to-end process of extracting insights from large datasets. In addition to technical expertise, this role requires strong leadership, project management, and communication skills to translate complex findings into actionable strategies.

How does a manager of data science typically balance hands-on technical work with team leadership responsibilities?

A Manager of Data Science often divides their time between overseeing project execution and supporting their team's professional growth. While they may still participate in high-level technical decision-making and occasionally contribute to code or modeling, much of their focus shifts to setting strategic direction, mentoring team members, and facilitating cross-functional collaboration. They are responsible for ensuring that projects align with business goals, providing technical guidance, and creating an environment where data scientists can thrive. Effective managers also spend time communicating with stakeholders to translate business needs into actionable data projects.

What are the key skills and qualifications needed to thrive as a manager of data science, and why are they important?

To thrive as a Manager of Data Science, you need advanced expertise in data analytics, machine learning, and statistical modeling, typically backed by a degree in a quantitative field and prior experience in data science roles. Familiarity with tools like Python, R, SQL, cloud platforms (e.g., AWS, Azure), and project management systems is essential, and certifications such as Certified Analytics Professional (CAP) can be valuable. Strong leadership, communication, and problem-solving skills help in guiding teams, translating business needs into data solutions, and fostering collaboration. These skills and qualities are crucial for delivering actionable insights, driving innovation, and ensuring successful data-driven strategies in complex organizational environments.

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

AspectManager Of Data ScienceData Scientist
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; often leadership experienceBachelor's or Master's in Data Science, Statistics, or related field; strong technical skills
Work EnvironmentOversees teams, manages projects, collaborates with stakeholdersFocuses on data analysis, model development, and technical problem-solving
Employer & Industry UsageUsed in organizations with data teams, analytics departmentsCommonly employed in tech, finance, healthcare, and research sectors

The main difference between a Manager Of Data Science and a Data Scientist is the level of responsibility. Managers oversee teams and strategic initiatives, while Data Scientists focus on technical data analysis and model building. Both roles require strong analytical skills, but the Manager role emphasizes leadership and project management.

What are the most commonly searched types of Of Data Science jobs in Washington?

The most popular types of Of Data Science jobs in Washington are:

Data Scientist

Socket.dev

Chantilly, VA • On-site

$100 - $140/hr

Other

Re-posted 2 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 include a strong understanding of statistical methods, predictive modeling, machine learning, deep learning, data visualizations, and data management. Depending on the specific position, data scientists may also need knowledge of other fields such as cybersecurity or business analytics. They must be comfortable with regularly interacting with the customer/warfighter to receive feedback, guide future work, and 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, Level 2 (Intermediate)

  • Responsible for applying data science techniques for cybersecurity solutions.
  • May extract, transform, load, analyze, and interpret relevant IA data for timely analytic use, provide reports on patterns, anomalies, and potential security concerns, and support data management.
  • May use machine learning and statistical approaches, prepare visualizations (dashboards, graphs, presentations) to communicate recommendations.
  • May conduct/support data engineering and data management, assist with selecting appropriate analytical approaches towards automation.
  • Reviews and defines requirements for data science cybersecurity approaches.
  • Tools: AWS, Spark, Kafka, Tableau, Python (TensorFlow, PyTorch), R (tidyverse, RShiny), Splunk, Agile/Scrum/Jira/Confluence preferred.

Data Scientist, Level 3 (Senior)

  • Oversees data science techniques for cybersecurity solutions, building on Level 2 responsibilities.
  • Leads teams to extract, transform, load, analyze, and interpret IA data, provide reports on patterns, anomalies, and security concerns, and support data management.
  • Advises on machine learning and statistical approaches, presents visualizations, dashboards, graphs, and presentations to communicate recommendations.
  • Spearheads data engineering and data management, advises on appropriate analytical approaches toward 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 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.
  • Strong knowledge of data visualizations, large language models (LLMs), and machine learning principles, techniques, and technologies.

Level 3 Data Scientist 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.
  • Expert knowledge of data visualizations, large language models (LLMs), and machine learning principles, techniques, and technologies.
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