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Manager Of Data Science Jobs in Washington (NOW HIRING)

Closure Technologies

Data Scientist

Chantilly, VA

Required Skills * 3+ years of experience in data science or analytics * Experience with the analysis of data and creation of data-driven visualizations * Experience in working with artificial ...

Leidos

Data Scientist

Silver Spring, MD · On-site

$69K - $125K/yr

Work closely with a tight-knit team of data scientists, software developers, network engineers, senior investigators, program managers, researchers, and data analysts to design, build, and optimize a ...

Capital One

Senior Associate, Data Science

Mclean, VA · On-site

Partner with a cross-functional team of data scientists, software engineers, and product managers to identify and quantify risks associated with models * Leverage a broad stack of technologies ...

Leidos

Data Scientist

Washington, DC · On-site

$69K - $125K/yr

Work closely with a tight-knit team of data scientists, software developers, network engineers, senior investigators, program managers, researchers, and data analysts to design, build, and optimize a ...

Leidos

Data Scientist

Glen Echo, MD · On-site

$69K - $125K/yr

Work closely with a tight-knit team of data scientists, software developers, network engineers, senior investigators, program managers, researchers, and data analysts to design, build, and optimize a ...

Leidos

Data Scientist

Bethesda, MD · On-site +1

Work closely with a tight-knit team of data scientists, software developers, network engineers, senior investigators, program managers, researchers, and data analysts to design, build, and optimize a ...

Leidos

Data Scientist

Hyattsville, MD · On-site

$69K - $125K/yr

Work closely with a tight-knit team of data scientists, software developers, network engineers, senior investigators, program managers, researchers, and data analysts to design, build, and optimize a ...

Leidos

Data Scientist

Rockville, MD · On-site

$69K - $125K/yr

Work closely with a tight-knit team of data scientists, software developers, network engineers, senior investigators, program managers, researchers, and data analysts to design, build, and optimize a ...

Leidos

Data Scientist

Washington, DC · On-site

$69K - $125K/yr

Work closely with a tight-knit team of data scientists, software developers, network engineers, senior investigators, program managers, researchers, and data analysts to design, build, and optimize a ...

Capital One

Senior Associate, Data Science

Mclean, VA · On-site

Partner with a cross-functional team of data scientists, software engineers, and product managers to identify and quantify risks associated with models * Leverage a broad stack of technologies ...

Leidos

Data Scientist

Bethesda, MD · On-site

$69K - $125K/yr

Work closely with a tight-knit team of data scientists, software developers, network engineers, senior investigators, program managers, researchers, and data analysts to design, build, and optimize a ...

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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 Aug 16, 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 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.

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 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.

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:

Manager Of Data Science jobs near you

Data Scientist

Accenture Federal Services

Annapolis Junction, MD • On-site

Full-time

Re-posted 2 days ago

Accenture Federal Services rating

8.7

Company rating: 8.7 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

47th of 492 rated business services

Job description

Are you passionate about using data to solve complex puzzles and drive meaningful outcomes? AFS is looking for a Data Scientist to support our nation's most critical missions. If you love turning raw data into clear insights and thrive in a dynamic, collaborative environment, we'd love to connect with you!

As a Data Scientist at AFS, you will be at the heart of our mission, transforming complex data into actionable intelligence. You will join a team of curious and dedicated professionals, working together to tackle challenging problems in a fast-paced and rewarding environment. 

What you'll need: 

  • Bachelor's degree in relevant technical field 
  • Minimum of 3 years of experience programming with data analysis software such as: R, Python, SAS, or MATLAB
  • Experience working with large-scale or complex datasets
  • Experience with data visualization tools (e.g.: Tableau, Power BI, D3, etc.), dataset analysis and/or developing analytics

Bonus Points if you have: 

  • Familiarity or experience doing data science within the context of AI/ML, Cyber, and/or SIGINT
  • Experience with graph-based algorithms and analytics
  • Familiarity with production-level deployment of machine learning models
  • Knowledge of data mining techniques specific to network logs or structured metadata
  • Experience with cloud-based data analytics platforms
  • Familiarity with agile development methodologies in data science projects
  • Experience with automated feature engineering or model selection tools
  • Knowledge of data privacy and security best practices in analytics 

Clearance: 

Must have an active TS/SCI with polygraph level clearance 

What Accenture Federal Services employees say

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