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Executive Data Science Jobs (NOW HIRING)

Athenago

Data Science Intern

Wilmington, DE

We clear the way by pairing exceptional Executive Assistants with our driven clients, providing ... Role Overview The Data Science Intern will help us to understand the performance of Executive ...

Athena LLC

We clear the way by pairing exceptional Executive Assistants with our driven clients, providing ... Role Overview The Data Science Intern will help us to understand the performance of Executive ...

Vizient

Data Science Fellow

Chicago, IL

$51K - $87K/yr

You will work with executive mentor(s) and data scientists to match projects to your interests and goals, with an aim to improve operations, enhance products, or generate new insights.

Elsevier

Manager Data Science

Philadelphia, PA · On-site

$115K - $192K/yr

At Elsevier, data science leadership is about far more than managing projects, models, or roadmaps ... executive audiences. * Experience working with large-scale structured, semi-structured, and ...

Tapestry

Data Science Manager

Mountain View, CA · On-site

Data Scientists work across the organization to help shape our business and technical strategies by ... Executive Communication: Persuasively communicate your team's findings and strategic ...

Elsevier

Manager Data Science

Philadelphia, PA

$115K - $192K/yr

At Elsevier, data science leadership is about far more than managing projects, models, or roadmaps ... executive audiences. * Experience working with large-scale structured, semi-structured, and ...

Weekday AI

Data Science Expert

$120 - $170/hr

We are seeking experienced Data Science Experts to help evaluate how effectively AI performs real ... Executive recommendations and business insights * Evaluate AI-generated and human-produced work ...

Tapestry

Data Science Manager

Mountain View, CA · On-site

Data Scientists work across the organization to help shape our business and technical strategies by ... Executive Communication: Persuasively communicate your team's findings and strategic ...

RELX Group plc

Manager Data Science

Philadelphia, PA · On-site

$115K - $192K/yr

At Elsevier, data science leadership is about far more than managing projects, models, or roadmaps ... executive audiences. * Experience working with large-scale structured, semi-structured, and ...

RELX

Manager Data Science

Philadelphia, PA

$115K - $192K/yr

At Elsevier, data science leadership is about far more than managing projects, models, or roadmaps ... executive audiences. * Experience working with large-scale structured, semi-structured, and ...

Fannie Mae

Audit Data Science Advisor

Washington, DC

You will apply deep expertise in data science, machine learning, AI techniques, large-scale data ... Create technical strategies and executive-ready materials that communicate high-impact solutions to ...

Fanniemae

Audit Data Science Advisor

Reston, VA · On-site

You will apply deep expertise in data science, machine learning, AI techniques, large-scale data ... Create technical strategies and executive-ready materials that communicate high-impact solutions to ...

The Knot Worldwide

VP, Data Science

Own executive dashboards and enterprise reporting from Board-level metrics to team-level KPIs ... Advanced Data Science * Lead applied data science across personalization, marketplace dynamics ...

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Executive Data Science information

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$26.5K

$93.6K

$184K

How much do executive data science jobs pay per year?

As of Aug 27, 2026, the average yearly pay for executive data science in the United States is $93,552.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,000.00 and $120,500.00 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.

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

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What states have the most Executive Data Science jobs?

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Executive Data Science jobs near you
Infographic showing various Executive Data Science 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 $93,552 per year, or $45 per hour.

Data Scientist Lead

Bluewater Federal Solutions, Inc.

Tampa, FL

Full-time

Re-posted 13 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.

Employment Type: FULL_TIME

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