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Executive Data Scientist Experimentation Jobs in Reston, VA

Develop dashboards, analytical visualizations, predictive data products, and executive decision ... Support operational experimentation, technology demonstrations, capability evaluations, and ...

Develop dashboards, analytical visualizations, predictive data products, and executive decision ... Support operational experimentation, technology demonstrations, capability evaluations, and ...

Data Scientist

Mclean, VA · On-site

$125K - $160K/yr

Build visualizations, dashboards, data stories, and executive-friendly summaries to communicate ... Strong understanding of statistics, probability, experimental design, and model validation ...

Data Scientist

Mclean, VA · On-site

$125K - $160K/yr

Build visualizations, dashboards, data stories, and executive-friendly summaries to communicate ... Strong understanding of statistics, probability, experimental design, and model validation ...

Data Scientist

Chantilly, VA · On-site

$95K - $142K/yr

Developing and executing machine learning and data science experiments, in the domains of natural language processing, computer vision, time series analysis, reinforcement learning, etc. * Evaluating ...

Ability to consolidate, interpret, and present data in reports/dashboards for Executives, Team ... Analyze experimental results and provide recommendations for further optimization. * Track and ...

We regularly experiment with a range of data science techniques to build tools and produce insights. Our team works with agentic and generative AI, machine learning, network analysis, sampling ...

Strong Python experience for data science, machine learning, model experimentation, automation, API ... ambiguity, and delivering executive-ready recommendations * AWS AI or machine learning ...

Senior Data Scientist

Washington, DC · On-site

$125 - $150/hr

Efforts include investigating conversion issues and presenting findings to executives. The work ... Develop analytics design systems and own experimentation - standardize metric definitions across ...

Develop production-quality data visualizations, plots, and dashboards for technical and executive ... Experience with statistics, including hypothesis testing, regression analysis, experimental design ...

Develop production-quality data visualizations, plots, and dashboards for technical and executive ... Experience with statistics, including hypothesis testing, regression analysis, experimental design ...

Develop production-quality data visualizations, plots, and dashboards for technical and executive ... Experience with statistics, including hypothesis testing, regression analysis, experimental design ...

Data Scientist

Alexandria, VA · On-site

$99K - $225K/yr

Develop production-quality data visualizations, plots, and dashboards for technical and executive ... Experience with statistics, including hypothesis testing, regression analysis, experimental design ...

As a CALIBRE Data Scientist, you will have the opportunity to research and experiment with ... executive-level customers * Experience with Army ERP systems such as VANTAGE, GFEBS, G-Army, or ...

As a CALIBRE Data Scientist, you will have the opportunity to research and experiment with ... executive-level customers * Experience with Army ERP systems such as VANTAGE, GFEBS, G-Army, or ...

As a CALIBRE Data Scientist, you will have the opportunity to research and experiment with ... executive-level customers Experience with Army ERP systems such as VANTAGE, GFEBS, G-Army, or other ...

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Executive Data Scientist Experimentation information

See Reston, VA salary details

$39K

$127.7K

$204.4K

How much do executive data scientist experimentation jobs pay per year?

As of Sep 8, 2026, the average yearly pay for executive data scientist experimentation in Reston, VA is $127,692.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,500.00 and $141,500.00 per year, depending on experience, location, and employer.

What is an executive data scientist experimentation?

An Executive Data Scientist Experimentation is a senior-level professional who leads and oversees the design, implementation, and analysis of experiments and data-driven initiatives within an organization. They are responsible for developing experimentation strategies, guiding teams in A/B testing, and ensuring that data insights drive business decisions. This role often collaborates with executive leadership to align data science projects with strategic goals and maximize business impact. Executive Data Scientists also mentor junior staff, set best practices, and ensure that experimentation methods are rigorous and ethical.

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

To thrive as an Executive Data Scientist Experimentation, you need advanced expertise in statistics, experimental design, and data modeling, typically backed by a PhD or master's degree in a quantitative field. Mastery of tools such as Python, R, SQL, and platforms like AWS or Azure, along with experience in A/B testing and big data systems, is essential. Leadership, strategic thinking, and strong communication skills are crucial for guiding teams and translating complex data into actionable business insights. These skills and qualities are vital for driving data-driven decision-making and delivering impactful business results through rigorous experimentation.

How does an executive data scientist experimentation typically collaborate with cross-functional teams to drive business impact?

As an Executive Data Scientist focusing on experimentation, you will frequently partner with product managers, engineers, and business leaders to design and interpret experiments that inform strategic decisions. Your role involves translating business questions into measurable hypotheses, guiding teams on best practices for A/B testing, and ensuring rigorous analysis. Effective communication is key, as you'll need to present complex findings in a clear way that supports decision-making across the organization. This collaborative approach not only maximizes the impact of your data insights but also fosters a culture of evidence-based innovation.

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

AspectExecutive Data Scientist ExperimentationData Scientist Experimentation
CredentialsAdvanced degrees (Master's/PhD), leadership experienceBachelor's or Master's in Data Science, Statistics, or related fields
Work EnvironmentStrategic planning, cross-department collaboration, leadership rolesData analysis, model development, experimentation execution
Employer & Industry UsageTech companies, finance, consulting firms with strategic focusTech, e-commerce, healthcare, and other data-driven industries

Executive Data Scientist Experimentation roles focus on strategic oversight, leadership, and aligning experimentation efforts with business goals. Data Scientist Experimentation roles are more hands-on, involving designing and executing experiments to analyze data and inform decisions. Both roles require strong analytical skills, but the executive level emphasizes leadership and strategic impact.

What are popular job titles related to Executive Data Scientist Experimentation jobs in Reston, VA?

For Executive Data Scientist Experimentation jobs in Reston, VA, the most frequently searched job titles are:

What job categories do people searching Executive Data Scientist Experimentation jobs in Reston, VA look for?

The top searched job categories for Executive Data Scientist Experimentation jobs in Reston, VA are:

What cities near Reston, VA are hiring for Executive Data Scientist Experimentation jobs?

Cities near Reston, VA with the most Executive Data Scientist Experimentation job openings:

Infographic showing various Executive Data Scientist Experimentation job openings in Reston, VA 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 $127,692 per year, or $61.4 per hour.

Data Scientist

CACI

Alexandria, VA • On-site

Full-time

Medical, Retirement, PTO

Posted 9 days ago


Job description

Job Title: Data Scientist Job Category: Intelligence Time Type: Full time Minimum Clearance Required to Start: TS/SCI Employee Type: Regular Percentage 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.