ZipRecruiter

Log In

1

Executive Data Science Jobs in Washington (NOW HIRING)

Redhorse Corporation

Data Scientist

Arlington, VA · On-site +1

The Senior Analyst will serve on a four-member Agile Data Science delivery team performing ... In accordance with Executive Order 14042 as a Federal Contractor Redhorse requires all U.S. new ...

Td

Senior Manager, Data Science - FCRM Modeling

Vienna, VA · On-site

$123K - $201K/yr

The Senior Manager, Data Science leads a specialized team of data professionals varying in size and ... Facilitates key strategic discussions and provides thought leadership to executive audience (output ...

Caliber Systems Inc.

Lead Data Scientist

Alexandria, VA · On-site

$120 - $160/hr

Apply expert knowledge of data science methods, data management practices, model evaluation ... Prepare briefings, technical documentation, analytical reports, executive summaries, and ...

Pae

Data Scientist - Mid

Washington, DC

$120K - $160K/yr

Skill in major data science languages, including R and Python, and in managing and merging ... Executive Deferral Plan. Employees will also receive 17 days of vacation per year, seven paid ...

Steampunk

Data Scientist

Mclean, VA

$125K - $160K/yr

Build visualizations, dashboards, data stories, and executive-friendly summaries to communicate ... Stay current with modern data science methodologies, ML techniques, data processing tools, and ...

Hive Group, LLC

Data Scientist

Mclean, VA · On-site

$95 - $140/hr

... and executive briefings. Candidates are encouraged to submit their information and resumes ... Bachelor's degree in Data Science, Statistics, Mathematics, or Computer Science is required; a ...

CALIBRE Systems

Lead Data Scientist

Alexandria, VA · On-site

Required Skills • Provide technical and management leadership for major data science, analytics ... executive summaries, and recommendations for a diverse range of stakeholders and cross-functional ...

Amentum

Data Scientist - Mid

Washington, DC · On-site

$120K - $160K/yr

Skill in major data science languages, including R and Python, and in managing and merging ... Executive Deferral Plan. Employees will also receive 17 days of vacation per year, seven paid ...

Steampunk

Data Scientist

Mclean, VA

$125K - $160K/yr

Build visualizations, dashboards, data stories, and executive-friendly summaries to communicate ... Stay current with modern data science methodologies, ML techniques, data processing tools, and ...

CALIBRE

Lead Data Scientist

Alexandria, VA

Required Skills · Provide technical and management leadership for major data science, analytics ... executive summaries, and recommendations for a diverse range of stakeholders and cross-functional ...

Deloitte

AI and Data Science Engineer III

Rosslyn, VA · On-site

$130K - $156K/yr

Represent the data science function in client-facing forums by translating quantitative findings into actionable recommendations for audiences ranging from frontline analysts to executive leadership

Steampunk

Data Scientist

Mclean, VA · On-site

$125K - $160K/yr

Build visualizations, dashboards, data stories, and executive-friendly summaries to communicate ... Stay current with modern data science methodologies, ML techniques, data processing tools, and ...

previous page

Showing results 41-60

All JobsData Science JobsExecutive Data Science JobsExecutive Data Science Jobs in Washington

Executive Data Science information

See Washington salary details

$30K

$106K

$208.4K

How much do executive data science jobs pay per year?

As of Aug 9, 2026, the average yearly pay for executive data science in Washington is $105,957.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,700.00 and $136,500.00 per year, depending on experience, location, and employer.

What skills and qualifications are needed to thrive as an executive data scientist?

To thrive as an Executive Data Scientist, you need deep expertise in statistics, machine learning, and data analysis, typically supported by an advanced degree in a quantitative field. Proficiency with data platforms (such as SQL, Hadoop, or Spark), programming languages (like Python or R), and familiarity with data visualization tools is essential, along with certifications like Certified Analytics Professional (CAP) being advantageous. Strategic vision, leadership, and the ability to communicate complex insights to non-technical stakeholders are vital soft skills. These competencies drive effective data-driven decision-making and ensure alignment between analytics initiatives and business objectives.

What is the role of an executive data scientist?

An executive data scientist leads data science initiatives within an organization, translating complex data insights into strategic decisions. They often oversee teams, communicate findings to stakeholders, and require strong skills in analytics, leadership, and business acumen, along with proficiency in tools like Python, R, or SQL. Their role involves aligning data projects with organizational goals and ensuring impactful results.

What is executive data science?

Executive Data Science refers to the leadership and management of data science initiatives within an organization. Professionals in this role are responsible for setting the strategic direction for data-driven projects, overseeing data teams, and ensuring that data science efforts align with business goals. They bridge the gap between technical teams and executives, translating analytical insights into actionable business strategies. Typically, Executive Data Scientists have a blend of technical expertise and strong business acumen, enabling them to make high-level decisions that impact the organization’s growth and innovation.

What is the difference between Executive Data Science vs Data Scientist?

AspectExecutive Data ScienceData Scientist
CredentialsAdvanced degrees (Master's/PhD), leadership experienceBachelor's or Master's in Data Science, Computer Science, or related fields
Work EnvironmentStrategic, leadership-focused, often in executive officesHands-on data analysis, modeling, coding in technical teams
Employer & Industry UsageSenior roles in tech, finance, consulting, and large organizationsTech companies, startups, research institutions, various industries

Executive Data Science roles focus on strategic decision-making, leadership, and overseeing data initiatives, while Data Scientists are primarily involved in technical data analysis and modeling. Both roles require strong analytical skills, but Executive Data Scientists combine technical expertise with leadership responsibilities.

How does an executive data scientist typically collaborate with other departments to drive data-driven decision making?

Executive Data Scientists frequently work cross-functionally with departments such as marketing, product, finance, and operations to identify key business challenges and opportunities where data can provide strategic insights. They lead or advise interdisciplinary teams, translate complex analytics into actionable recommendations, and often present findings to senior leadership or stakeholders. Building strong relationships and understanding business objectives are crucial, as these collaborations enable the alignment of data science initiatives with organizational goals.
What are the most commonly searched types of Data Science jobs in Washington? The most popular types of Data Science jobs in Washington are:
What are popular job titles related to Executive Data Science jobs in Washington? For Executive Data Science jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Executive Data Science jobs in Washington look for? The top searched job categories for Executive Data Science jobs in Washington are:
What cities in Washington are hiring for Executive Data Science jobs? Cities in Washington with the most Executive Data Science job openings:
Executive Data Science jobs near you
Infographic showing various Executive Data Science job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $105,957 per year, or $50.9 per hour.

Data Scientist

Redhorse Corporation

Arlington, VA • On-site, Remote

Full-time

Re-posted 12 days ago

Job description

Data Scientist
About the Organization
Now is a great time to join Redhorse Corporation. Our mission is to change the way government interacts with and uses data and technology. Our purpose is to help government to better serve its citizens. Redhorse Corporation offers a proven approach to mission-focused innovation. Design thinking helps us understand customer problems and develop better ways to solve them. Lean Startup lets us turn those ideas into business models that work, quickly and for the least cost. Our world class data scientists wring the value from data, and Agile helps us deliver solutions quickly and incrementally, building exactly what is needed, as fast as possible. We are hiring creative, motivated and talented people with a passion for doing what’s right, what’s smart, and what works.

Position Description
Redhorse Corporation (Redhorse) is seeking an exceptional leader to serve as a Data Scientist for the Conditions Based Maintenance (CBM+) Program. The Senior Analyst will serve on a four-member Agile Data Science delivery team performing predictive maintenance and predictive logistics model development and forecasting work on the government-provided PANDA platform. The Senior Analyst will mentor junior analysts in the areas of NLP related to automated or semi-automated data extraction and other elements of model development and will be the first line quality control check for data cleaning, WUC analyses, NLP models and resulting forecasts. This position will be based in our National Capital Region offices in the Rosslyn neighborhood of Arlington, VA, with opportunities for remote work to be determined by the program manager and customer.
Essential Functions:
  • Delivery Teams will each be responsible for a subset of assigned aircraft platforms and respective work unit codes (WUCs) within an Aircraft Group. Delivery Teams are primarily responsible for data analysis/data science work supporting the following functions:
    • Sustain existing WUC predictive failure models
    • Support selection and analysis of new WUC predictive failure models
    • Field newly approved WUC predictive failure models
    • Generate monthly enhanced reliability centered maintenance forecasts for assigned WUCs
    • Generate and maintain a long-range supply forecast utilizing Monte Carlo simulation for assigned WUCs
    • Participate in user and stakeholder engagements and technical discussions
    • Gather and provide feedback on best practices and recommended enhancements to the platform
    • Document work performed in technical reports
Minimum Basic Requirements for Skills, Experience, Education and Credentials include:
  • Bachelor’s degree in a highly quantitative field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.) or equivalent professional or military experience.
  • Data Scientist with 4 years of experience including experience in applied NLP, data labeling, entity or keyword extraction, and related topics.
  • Understanding of Weibull distribution and use for modeling part failures
  • Proven ability to drive key client communication and expectations
  • Experience engaging clients and developing relationships at the highest levels of the Federal Government
  • Strong communication skills and ability to understand business functionality
  • Ability to foster positive business relationships
  • Proven leadership abilities
  • Excellent communication and interpersonal skills
  • Experience working with office productivity software, such as Microsoft Office suite, including Word, Excel, PowerPoint and file sharing applications.
  • Able to travel as needed to meet with government customers and stakeholders
Preferred Qualifications include:
  • Advanced degree in a highly quantitative field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.) or equivalent professional or military experience.
  • Active Secret Clearance
  • Experience with Predictive Maintenance / Logistics
  • Experience with sensor-based failure predictions and modeling
  • Experience with Monte-Carlo simulation and calculation of confidence levels
Executive Order Requirement:
In accordance with Executive Order 14042 as a Federal Contractor Redhorse requires all U.S. new hires to be fully vaccinated for COVID-19 by December 8, 2021 or prior to the first date of employment, whichever is later. As required by the Executive Order, Redhorse will work in coordination with applicable contract agencies to consider requests for Reasonable Accommodations.
Redhorse Corporation shall, in its discretion, modify or adjust the position to meet Redhorse’s changing needs.
This job description is not a contract and may be adjusted as deemed appropriate in Redhorse’s sole discretion.
EOE/M/F/Vet/Disabled

Apply