ZipRecruiter

Log In

1

Executive Data Scientist Jobs (NOW HIRING)

International Executive Service Corps

$195 - $260/hr

Data Scientist CANDIDATES MUST HAVE AN ACTIVE TS/SCI w/ Poly For over 40 years, DCCA has provided a ... empower executive decision-making. Cross-Functional Collaboration: Collaborate with cross ...

Cacheflow

Principal Data Scientist

San Francisco, CA · On-site

$150 - $200/hr

Executive translation. Translate complex data science findings into clear, actionable narratives for the CEO, C-suite, and Board of Directors -- ensuring data science insights directly inform the ...

Databricks Inc.

Principal Data Scientist

San Francisco, CA · On-site

$200 - $320/hr

Executive translation. Translate complex data science findings into clear, actionable narratives for the CEO, C‑suite, and Board of Directors -- ensuring data science insights directly inform the ...

Databricks

Principal Data Scientist

Mountain View, CA · On-site

Executive translation. Translate complex data science findings into clear, actionable narratives for the CEO, C-suite, and Board of Directors - ensuring data science insights directly inform the ...

Databricks Inc.

Principal Data Scientist

Mountain View, CA · On-site

$200 - $320/hr

Executive translation. Translate complex data science findings into clear, actionable narratives for the CEO, C‑suite, and Board of Directors -- ensuring data science insights directly inform the ...

Redhorse Corporation

Data Scientist

Arlington, VA · On-site +1

Data Scientist About the Organization Now is a great time to join Redhorse Corporation. Our mission ... In accordance with Executive Order 14042 as a Federal Contractor Redhorse requires all U.S. new ...

Menlo Ventures

Principal Data Scientist

California, MO · On-site

$200 - $260/hr

Executive translation. Translate complex data science findings into clear, actionable narratives for the CEO, C-suite, and Board of Directors, ensuring insights inform critical decisions.

AMEND Consulting

Data Scientist

Cincinnati, OH · On-site

... and executive briefings with clarity and confidence. Qualifications : Required : • Proven ... Analytics, Data Science, or Computer Science (or equivalent experience in industry). • Math ...

Pantheon Data

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 ...

Goosehead

Data Scientist

Westlake, OH

Serve as a thought partner to executive leadership, translating business challenges into data science strategies and articulating impact through clear storytelling. * Establish and uphold best ...

AIT Global, Inc.

Data Scientist

Grand Prairie, TX · On-site

... executive stakeholders. * Solid grounding in statistical methods - time series, regression ... Data Science Proven track record building and deploying ML models for predictive maintenance ...

next page

Showing results 1-20

All JobsData Scientist JobsExecutive Data Scientist Jobs

Executive Data Scientist information

See salary details

$46K

$165K

$243.5K

How much do executive data scientist jobs pay per year?

As of Aug 22, 2026, the average yearly pay for executive data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What is an executive data scientist?

An Executive Data Scientist is a senior-level professional who leads data science initiatives within an organization. They are responsible for setting strategic direction, overseeing large-scale data projects, and bridging the gap between technical data teams and business leadership. Their role involves not only advanced analytics and modeling but also communicating insights to stakeholders and ensuring data-driven decisions align with business goals. Executive Data Scientists often manage teams, influence company data strategy, and play a key role in driving innovation and digital transformation.

How does an executive data scientist typically collaborate with leadership and cross-functional teams?

Executive Data Scientists play a strategic role by bridging the gap between data science teams and organizational leadership. They regularly translate complex analytical insights into actionable business recommendations for executives, and work closely with stakeholders across departments such as IT, marketing, and operations. This collaboration ensures that data-driven initiatives align with business objectives and that projects receive the resources and support needed for success. Effective communication and stakeholder management are key aspects of the role, as is mentoring junior data scientists and fostering a culture of innovation.

What are the key skills and qualifications needed to thrive as an executive data scientist, and why are they important?

To thrive as an Executive Data Scientist, you need advanced expertise in data analytics, machine learning, and statistical modeling, usually backed by a master's or PhD in a quantitative field. Familiarity with big data platforms (like Hadoop or Spark), programming languages (Python, R), and data visualization tools, along with certifications such as Certified Analytics Professional (CAP), is highly valued. Leadership, strategic thinking, and the ability to communicate complex insights to non-technical stakeholders are crucial soft skills for this role. These skills ensure effective data-driven decision-making at the executive level, driving business innovation and competitive advantage.

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

AspectExecutive Data ScientistData Scientist
CredentialsAdvanced degrees (Master's/PhD), leadership experienceBachelor's or Master's in Data Science, Statistics, or related fields
Work EnvironmentStrategic roles, leadership teams, executive meetingsData analysis, model development, technical tasks
Employer & Industry UsageSenior roles in tech, finance, healthcare, and large enterprisesStartups, tech companies, research institutions

Executive Data Scientists focus on strategic decision-making and leadership, often overseeing data teams and aligning data initiatives with business goals. Data Scientists primarily handle technical data analysis, modeling, and insights generation. While both roles require strong analytical skills, Executive Data Scientists combine technical expertise with leadership and strategic planning, making them suitable for senior management positions.

More about Executive Data Scientist jobs

What cities are hiring for Executive Data Scientist jobs?

Cities with the most Executive Data Scientist job openings:

What are the most commonly searched types of Data Scientist jobs?

The most popular types of Data Scientist jobs are:

What states have the most Executive Data Scientist jobs?

States with the most job openings for Executive Data Scientist jobs include:

What job categories do people searching Executive Data Scientist jobs look for?

The top searched job categories for Executive Data Scientist jobs are:

Executive Data Scientist jobs near you
Infographic showing various Executive Data Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Data Scientist Lead

Bluewater Federal Solutions, Inc.

Tampa, FL • On-site

Full-time

Re-posted 8 days ago

Job description

Overview
BlueWater Federal is seeking a Data Scientist Lead to support the USCENTCOM Operations Directorate (J3).
As the Data Scientist Lead, you will provide oversight for the Data Management team and drive the implementation of strategic initiatives in data engineering, data science, and Artificial Intelligence/Machine Learning (AI/ML). You will be responsible for translating mission needs into high-impact technical solutions, from data ingestion and model development to the deployment of full-stack AI-driven capabilities that directly support military operations
Responsibilities
  • Provide comprehensive leadership and oversight for the data engineering, analytics, and predictive analytics team, ensuring all services align with strategic operational objectives.
  • Lead the development and implementation of advanced analytics, statistical model development, data governance, and the integration of innovative technologies to inform operational decisions.
  • Apply advanced machine learning and AI techniques, including unsupervised, supervised, reinforcement learning, and generative AI (e.g., Large Language Models, multi-modal AI), to identify patterns and generate mission-critical insights.
  • Oversee the development, deployment, and maintenance of high-quality, fault-tolerant data pipelines to clean, tag, and ingest structured and unstructured data into data lakes and lakehouses.
  • Direct the data science lifecycle, from exploration and algorithm development to statistical validation and solution operationalization, ensuring deployed capabilities meet mission requirements.
  • Coordinate with the USCENTCOM Chief Data Officer (CDO), the Operations Directorate Executive Data Officer (XDO), and participate in relevant forums to interpret mission needs and define operational data requirements.
  • Serve as the senior technical advisor for the team, guiding the use of query languages (SQL), programming languages (Python, R), and analytics platforms to enable data-driven decisions.
  • Translate highly technical information and findings into clear, actionable insights for a broad, non-technical operational audience and senior leadership.

Qualifications
  • BA/BS or MA/MS in Data Science, Analytics, Computer Science, Information Technology, or a related field.
  • 10+ years of relevant work experience, with significant experience leading data science or analytics teams.
  • Must have an Active Top Secret clearance and SCI eligibility.
  • Demonstrated experience capturing, implementing, and managing data science requirements for senior Military, Federal Government, or Intelligence Community stakeholders.
  • Proven expertise in applying advanced AI/ML techniques and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) to solve complex problems.
  • Highly proficient in Python and/or R for data engineering, automation, and model development.
  • Experience with data engineering concepts, including building and maintaining data pipelines (ETL/ELT), data warehousing, and data lake/lakehouse architectures.
  • Familiarity with data visualization and analytics platforms such as Power BI, Tableau, Qlik, or Palantir Foundry / Maven Smart System (MSS).
  • Experience with data storage and processing tools (e.g., Apache Spark, Databricks, Hadoop) and databases (e.g., TSQL, MySQL, Oracle, PostgreSQL).
  • Must be available for occasional travel to domestic and international locations.
  • Experience implementing data solutions on cloud platforms (e.g., Azure, AWS, Google Cloud) and experience with ESRI ArcGIS technologies is desired

BlueWater Federal is proud to be an Equal Opportunity Employer. All qualified candidates will be considered without regard to race, color, religion, national origin, age, disability, sexual orientation, gender identity, status as a protected veteran, or any other characteristic protected by law. BlueWater Federal is a VEVRAA federal contractor and we request priority referral of veterans.

Apply