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Head Data Science Jobs in Washington (NOW HIRING)

inTALENTgent

Data Scientist

Herndon, VA

Bachelor's degree in Computer Science, Math, or other relevant field and minimum of five years of ... Demonstrated on\-the\-job experience with data visualization tools (i.e. Tableau, Pandas, D3.js ...

ResolveSoft Inc

Be Seen First

Data Engineer

Washington, DC · Remote

$98K - $128K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Head Start program oversight and operations. * Apply iterative and flexible project management ... Bachelor's degree in computer science, information systems, data science, or a related field from ...

ResolveSoft Inc

Data Visualization Specialist

Washington, DC · Remote

$78K - $98K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... standards, and Office of Head Start (OHS) priorities. The Data Visualization Specialist ... Bachelor's degree in data visualization, information design, data science, statistics, or a related ...

IQVIA

Head of Product

Washington, DC · On-site

Position Overview The Head of Product - Media OS, IQVIA Digital will own the vision, strategy ... Collaborate with Engineering, Data Science, Design, Sales, Marketing, Operations, and Client ...

Moonshot

Head of AI Safety

Washington, DC

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Head of AI Safety will serve as Moonshot's primary applied AI safety counterpart for frontier ... This is not an engineering or data-science role, but it is a hands-on position requiring the ...

Moonshot

Head of AI Safety

Washington, DC · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Head of AI Safety will serve as Moonshot's primary applied AI safety counterpart for frontier ... This is not an engineering or data-science role, but it is a hands-on position requiring the ...

Moonshot

Head of AI Safety

Washington, DC · Remote

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Head of AI Safety will serve as Moonshot's primary applied AI safety counterpart for frontier ... This is not an engineering or data-science role, but it is a hands-on position requiring the ...

Moonshotteam

Head of AI Safety

Washington, DC · On-site

$110 - $145/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Head of AI Safety will serve as Moonshot's primary applied AI safety counterpart for frontier ... This is not an engineering or data-science role, but it is a hands‑on position requiring the ...

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Showing results 21-40

All JobsHead Data Science JobsHead Data Science Jobs in Washington

Head Data Science information

See Washington salary details

$24.2K

$118.2K

$219K

How much do head data science jobs pay per year?

As of Aug 20, 2026, the average yearly pay for head data science in Washington is $118,236.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,419.00 and $159,976.00 per year, depending on experience, location, and employer.

What does a head data science do?

A Head of Data Science is responsible for leading and managing the data science team within an organization. They oversee the development and implementation of data-driven strategies, ensuring that the team delivers valuable insights and predictive models to support business goals. This role involves collaborating with other departments, setting the vision for data initiatives, and ensuring best practices in data analysis and machine learning are followed. Additionally, the Head of Data Science often mentors team members and helps shape the organization's overall data strategy.

What are the key skills and qualifications needed to thrive as a head data science?

To thrive as a Head of Data Science, you need advanced expertise in statistics, machine learning, data modeling, and a strong background in computer science or a related quantitative field, often supported by a master's or Ph.D. Proficiency with programming languages like Python or R, big data platforms such as Hadoop or Spark, and familiarity with cloud-based analytics tools are typically required. Strategic leadership, excellent communication skills, and the ability to mentor and inspire teams are crucial soft skills for this role. These abilities are essential to drive data-driven decision-making, foster innovation, and align analytics initiatives with organizational goals.

What are some common challenges faced by a head data science when building and leading a data science team?

As a Head of Data Science, one of the main challenges is balancing strategic leadership with hands-on technical guidance. You'll often need to align the team's goals with broader business objectives while ensuring that team members have the right mix of skills and resources. Additionally, fostering effective collaboration between data scientists, engineers, and business stakeholders can be complex, especially in cross-functional environments. Managing expectations around project timelines and communicating technical insights in a clear, actionable way are also key aspects of the role.

What is the difference between Head Data Science vs Data Science Manager?

AspectHead Data ScienceData Science Manager
ResponsibilitiesStrategic leadership, setting data science vision, overseeing multiple teamsTeam management, project delivery, coordinating data science projects
Required SkillsAdvanced analytics, leadership, strategic planningTeam management, technical expertise, project management
ExperienceSenior data science background, leadership rolesData science experience with managerial responsibilities
Work EnvironmentExecutive level, cross-departmental collaborationTeam-focused, project-oriented

The Head Data Science typically holds a strategic, leadership role overseeing the entire data science function, while the Data Science Manager focuses on managing teams and project execution. Both roles require strong technical backgrounds, but the Head Data Science emphasizes vision and strategy, whereas the Data Science Manager concentrates on operational management.

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

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

Head Data Science jobs near you
Infographic showing various Head Data Science job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 9% Part Time, 2% Temporary, and 7% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $118,236 per year, or $56.8 per hour.

Data Scientist

inTALENTgent

Herndon, VA

Full-time

Re-posted 3 days ago

Job description

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***ACTIVE TS\/SCI WITH FULL SCOPE POLY REQUIRED***<\/span><\/span><\/b><\/span><\/span>
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This is a unique position for a strong applications developer to work on a high\-profile suite of services that will supply users with productionized data analytics to assist the wide range of Information Management mission activities conducted across the Sponsor organization.  The candidate will work with a team of software developers and data scientists to refine the new baseline of analytic tools and build out new tools on a routinized production cadence to meet the evolving needs of Sponsor users. This is an exciting opportunity for developers wanting to broaden their credentials in the realm of high\-demand data analytics.  Development will take place in an iterative fashion using scrum techniques with inputs from the Project Manager, IT Division Leadership, Technical Director, and Subject Matter Experts and other business stakeholders. The candidate must have the ability to communicate with project team members, user community, and leadership to assess changes and demonstrate iterative progress.  <\/span><\/span><\/span><\/span>
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This position will include a variety of activities, including:<\/span><\/span><\/span><\/span>
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  • Participation with iterative software development teams with adherence to all reporting requirements<\/span><\/span><\/span><\/span>
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  • Designing, developing and unit testing code for a production system and demonstration capabilities<\/span><\/span><\/span><\/span>
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  • Developing iterative screen mock ups, use of rapid prototyping to drive out requirements and design<\/span><\/span><\/span><\/span>
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  • Providing demonstrations and detailed walk through of features to a variety of technical and non\-technical audiences<\/span><\/span><\/span><\/span>
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  • Meeting with stakeholders, analyzing requirements, developing user stories and related artifacts, and translating these into software development tasks<\/span><\/span><\/span><\/span>
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  • Working with systems engineers to specify and design the final system<\/span><\/span><\/span><\/span>
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  • Development of technical documentation and briefing materials to support program status reviews, control gates, and other presentations as directed by program management<\/span><\/span><\/span><\/span>
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    Requirements<\/h3>

    Mandatory Skills (in order of importance):<\/span><\/span><\/b><\/span><\/span>
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    1. Demonstrated on\-the\-job experience with text analytics and its applications\/role\/use in business intelligence\/business analytics (i.e. search, entity extraction, sentiment analysis, document summarization, document categorization)<\/span><\/span><\/span><\/span>
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    2. Demonstrated on\-the\-job experience to cleanse and process (Extract, Transform, Load \- ETL) large raw data sets.<\/span><\/span><\/span><\/span>
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    3. Demonstrated on\-the\-job experience researching and implementing novel machine learning algorithms for new business problems<\/span><\/span><\/span><\/span>
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    4. Demonstrated on\-the\-job experience developing proof of concepts of new technologies and evaluate the state of the art in machine learning algorithms for text analytics<\/span><\/span><\/span><\/span>
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    5. Demonstrated on\-the\-job experience in designing (in Python and\/or Java) and developing web\-based platforms and services to perform data analytics on large data sets <\/span><\/span><\/span><\/span>
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    6. Demonstrated on\-the\-job ability to design, develop, test and implement new applications based on project requirements<\/span><\/span><\/span><\/span>
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    7. Bachelor's degree in Computer Science, Math, or other relevant field and minimum of five years of experience (Master's degree equates to an additional 2 years of relevant work experience)<\/span><\/span><\/span><\/span>
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      Desired Skills (in order of importance):<\/span><\/span><\/b><\/span><\/span>
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      1. Demonstrated on\-the\-job experience working in Linux (Bash) shell scripting<\/span><\/span><\/span><\/span>
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      2. Demonstrated on\-the\-job experience with machine learning tools such as TensorFlow<\/span><\/span><\/span><\/span>
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      3. Demonstrated on\-the\-job experience with Solr or Elastic Search<\/span><\/span><\/span><\/span>
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      4. Demonstrated on\-the\-job experience with data visualization tools (i.e. Tableau, Pandas, D3.js, ggplot, etc)<\/span><\/span><\/span><\/span>
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      5. Demonstrated on\-the\-job experience with NoSQL data stores such as MongoDB, DynamoDB, HBase, and Cassandra <\/span><\/span><\/span><\/span>
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      6. Demonstrated on\-the\-job experience with performing advanced analytics against big data<\/span><\/span><\/span><\/span>
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      7. Demonstrated on\-the\-job experience with development and deployment of applications in the Commercial Cloud Services (C2S) environment or an Amazon Web Services cloud environment<\/span><\/span><\/span><\/span>
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      8. Demonstrated on\-the\-job experience using tools such as spaCy, Apache OpenNLP, Stanford CoreNLP, NLTK, LingoClustering, or Gensim Natural Language Processing <\/span><\/span><\/span><\/span>
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      9. Demonstrated on\-the\-job experience with Natural Language Processing<\/span><\/span><\/span><\/span>
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      10. Demonstrated on\-the\-job\-experience in Agile software development teams using scrum techniques<\/span><\/span><\/span><\/span>
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      11. Demonstrated on\-the\-job experience using Jira, Confluence, and GitHub for documenting work<\/span><\/span><\/span><\/span>
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      12. Demonstrated on\-the\-job experience working in a project team (3\-5 developers) with experience in decomposing concepts to discrete development tasks and managing your work to a deadline<\/span><\/span><\/span><\/span>
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