1

Executive Data Science Jobs in Washington (NOW HIRING)

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

Data Scientist

Washington, DC · On-site

$80K - $150K/yr

Present findings to technical and executive audiences. * Collaborate with engineers, analysts, and stakeholders. Required Skills and Experience * Bachelor's degree in Data Science, Engineering ...

Data Scientist

Washington, DC · On-site

$80K - $150K/yr

Present findings to technical and executive audiences.Collaborate with engineers, analysts, and stakeholders.Required Skills and ExperienceBachelor's degree in Data Science, Engineering, Mathematics ...

Data Scientist

Alexandria, VA · On-site

$143K - $187K/yr

Experience using data science best practices and advising executive leadership on data-driven strategic decisions. Experience refers to paid and unpaid experience, including volunteer work done ...

Data Scientist

Alexandria, VA · On-site

$143K/yr

Experience using data science best practices and advising executive leadership on data-driven strategic decisions. Experience refers to paid and unpaid experience, including volunteer work done ...

Showing results 41-60

Executive Data Science information

See Washington salary details

$30K

$106K

$208.4K

How much do executive data science jobs pay per year?

As of Sep 3, 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 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 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.

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 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.

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 cities in Washington are hiring for Executive Data Science jobs?

Cities in Washington with the most Executive Data Science job openings:

Infographic showing various Executive 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 $105,957 per year, or $50.9 per hour.

Data Scientist Alexandria, VA, US

CACI International Inc.

Alexandria, VA • On-site

$94.40 - $198.20/hr

Other

Medical, Retirement, PTO

Posted 28 days ago


Job description

## Data ScientistAlexandria, VA, USApply NowFind out how well you match with this jobJob ID328342Job Title: Data ScientistJob Category: IntelligenceTime Type: Full timeMinimum Clearance Required to Start: TS/SCIEmployee Type: RegularPercentage of Travel Required: Up to 50%Type of Travel: Continental US\* \* \***The Opportunity:**CACI is seeking a Data Scientist to support Joint Interagency Task Force 401 (JIATF 401). The Data Scientist will develop advanced analytical models, artificial intelligence (AI) capabilities, and machine learning (ML) solutions that transform large volumes of operational, intelligence, and mission data into predictive insights and decision-support products. This position requires expertise in statistical modeling, predictive analytics, data science methodologies, and AI-enabled technologies to support Counter-Unmanned Aircraft Systems (C-UAS) operations, capability development, operational assessments, acquisition decisions, and strategic planning efforts. The Data Scientist will leverage advanced analytics, machine learning, automation, and data fusion techniques to identify operational trends, forecast outcomes, optimize mission performance, and develop innovative analytical solutions supporting senior military and civilian leadership.**Responsibilities:*** Develop, implement, and maintain advanced statistical models, machine learning algorithms, and AI-enabled analytical solutions supporting operational decision-making.* Utilize Maven Smart System (MSS), Palantir, Power BI, Python, and AI-enabled analytical platforms to develop predictive models and mission decision-support capabilities.* Analyze large volumes of structured and unstructured operational, intelligence, and enterprise data to identify trends, anomalies, correlations, and predictive indicators.* Design and develop predictive analytics, forecasting models, classification algorithms, and optimization techniques to support operational planning and resource allocation.* Leverage artificial intelligence, machine learning, and data science methodologies to automate information extraction, target identification, threat analysis, and operational assessments.* Develop dashboards, analytical visualizations, predictive data products, and executive decision-support tools that effectively communicate complex analytical findings.* Conduct exploratory data analysis, feature engineering, model validation, and performance optimization to improve analytical accuracy and operational effectiveness.* Collaborate with Data Engineers, Data Analysts, software developers, operators, intelligence analysts, and mission stakeholders to develop integrated analytical solutions supporting mission objectives.* Develop analytical frameworks and quantitative models to evaluate system performance, operational effectiveness, capability gaps, technology maturity, and acquisition priorities.* Support operational experimentation, technology demonstrations, capability evaluations, and acquisition efforts through advanced modeling and data-driven analysis.* Research, evaluate, and integrate emerging AI technologies, machine learning frameworks, and advanced analytical methodologies to improve mission performance.* Produce technical documentation, model documentation, analytical reports, executive briefings, and recommendations supporting senior military and civilian leadership.* Ensure analytical models comply with applicable security, governance, validation, and data integrity requirements.* Identify opportunities to improve AI-enabled workflows, analytical automation, predictive modeling capabilities, and enterprise decision-support systems.**Qualifications:** *Required:** Active Top Secret/SCI Clearance.* MA/MS with 10+ years’ experience; BA/BS with 15+ years; AA/AS with 17+ years; or HS/GED with 19+ years. Demonstrated experience applying data science methodologies to solve complex operational or enterprise challenges.* Experience utilizing Maven Smart System (MSS), Palantir, or similar enterprise analytics and data integration platforms.* Advanced proficiency with Python for data science, statistical analysis, machine learning, automation, and model development.* Experience developing predictive models, statistical analyses, machine learning algorithms, or artificial intelligence applications.* Experience utilizing Power BI or similar business intelligence platforms to develop advanced dashboards and analytical visualizations.* Strong understanding of supervised and unsupervised machine learning techniques, statistical modeling, predictive analytics, and data mining methodologies.* Experience collecting, organizing, cleansing, validating, and exploiting structured and unstructured datasets from multiple operational and intelligence sources.* Experience leveraging AI-enabled tools, large language models (LLMs), or advanced analytics platforms to support operational decision-making.* Strong proficiency with Microsoft Office Suite, including the ability to develop technical documentation, analytical reports, executive briefings, and presentation materials.* Ability to communicate complex analytical concepts and model outputs to senior military and civilian leadership in a clear and actionable manner.* Proven ability to collaborate across multidisciplinary technical and operational teams.*Desired:** Experience supporting Department of Defense, Intelligence Community, Homeland Security, or Counter-Unmanned Aircraft Systems (C-UAS) organizations.* Familiarity with intelligence data sources, sensor fusion, geospatial intelligence, operational data feeds, and mission command systems.* Experience supporting CJADC2, data fusion, common operating picture development, or operational decision-support systems.* Experience developing AI-enabled capabilities for object detection, pattern recognition, anomaly detection, predictive maintenance, threat forecasting, or autonomous systems.* Experience with cloud-based AI/ML environments, distributed computing, MLOps, model lifecycle management, and enterprise data governance.* Experience supporting operational research, capability development, technology evaluations, acquisition decision-making, or advanced mission analytics within defense organizations.-**What You Can Expect:****A culture of integrity.**At CACI, we place character and innovation at the center of everything we do. As a valued team member, you’ll be part of a high-performing group dedicated to our customer’s missions and driven by a higher purpose – to ensure the safety of our nation.**An environment of trust.**CACI values the unique contributions that every employee brings to our company and our customers - every day. You’ll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality.**A focus on continuous growth.**Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground — in your career and in our legacy.**Pay Range**:There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits.The proposed salary range for this position is:$94,400 - $198,200*CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.* #J-18808-Ljbffr