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Executive Data Science Jobs (NOW HIRING)

Venatore Llc

Data Scientist Lead

Tampa, FL · On-site

... Executive Data Officer (XDO), the Data Scientist Lead translates operational requirements into ... Data Science & Artificial Intelligence * Lead the development, validation, deployment, and ...

Vizient, Inc.

Data Science Fellow

Chicago, IL · On-site

$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. Please upload ...

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 ...

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 ...

Vizient

Data Science Fellow

Chicago, IL · On-site

$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 ...

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 ...

Porch.com, Inc.

Head of Data Science

Seattle, WA · On-site +1

Partner with senior executives, insurance business leaders, and cross-functional teams to define project scope, integrate data science across the organization, and deliver measurable results.

RELX

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 ...

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 ...

Porch.com, Inc.

Head of Data Science

Seattle, WA · On-site +1

Partner with senior executives, insurance business leaders, and cross-functional teams to define project scope, integrate data science across the organization, and deliver measurable results.

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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 7, 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 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.
More about Executive Data Science jobs
What cities are hiring for Executive Data Science jobs? Cities with the most Executive Data Science job openings:
What are the most commonly searched types of Data Science jobs? The most popular types of Data Science jobs are:
What states have the most Executive Data Science jobs? States with the most job openings for Executive Data Science jobs include:
What job categories do people searching Executive Data Science jobs look for? The top searched job categories for Executive Data Science jobs are:
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, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $93,552 per year, or $45 per hour.

Data Scientist Lead

Venatore Llc

Tampa, FL • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 15 days ago

Job description

About Us
Venatôre is a mission-driven government contractor based in Tampa, FL, supporting federal and civilian agencies with secure cutting-edge technology, cybersecurity, and mission support services. Our teams are trusted in demanding environments because we integrate with client missions, combining technical depth, operational precision, and innovative thinking to deliver meaningful results where they matter most.

About the Job
The Data Scientist Lead is responsible for leading the organization's data science, data engineering, and analytics functions in support of mission-critical military operations. This senior technical leadership role oversees the design, development, and operationalization of advanced data analytics, artificial intelligence, and machine learning capabilities that enhance data-driven decision-making across the command. Working closely with senior government stakeholders, including the Chief Data Officer (CDO) and Executive Data Officer (XDO), the Data Scientist Lead translates operational requirements into scalable technical solutions while providing strategic direction, technical oversight, and mentorship to a multidisciplinary team. This position requires the ability to manage multiple priorities in a dynamic, mission-focused environment and may require occasional domestic and international travel.

Responsibilities

Leadership & Strategic Oversight

  • Lead and provide technical oversight for data engineering, data science, analytics, and predictive analytics teams in support of operational mission objectives.
  • Establish strategic priorities for data management, advanced analytics, AI/ML, and data engineering initiatives.
  • Serve as the senior technical advisor on data science, machine learning, and analytics capabilities.
  • Mentor and develop technical staff while promoting best practices, innovation, and continuous improvement.
  • Manage multiple concurrent projects, priorities, and deliverables in a fast-paced operational environment.

Data Science & Artificial Intelligence

  • Lead the development, validation, deployment, and operationalization of advanced statistical models and AI/ML solutions.
  • Apply supervised, unsupervised, reinforcement learning, and generative AI techniques, including Large Language Models (LLMs) and multimodal AI, to solve complex mission challenges.
  • Guide the full data science lifecycle, including data exploration, feature engineering, model development, validation, deployment, and performance monitoring.
  • Evaluate emerging AI and machine learning technologies for mission applicability and operational effectiveness.

Data Engineering & Architecture

  • Oversee the design, implementation, and maintenance of secure, scalable, and fault-tolerant data pipelines supporting structured and unstructured data.
  • Direct ETL/ELT processes, data integration, data warehousing, and modern data lake/lakehouse architectures.
  • Ensure data quality, governance, accessibility, and compliance throughout the data lifecycle.
  • Support enterprise data management strategies and architecture modernization initiatives.

Stakeholder Engagement & Mission Support

  • Collaborate with the USCENTCOM Chief Data Officer (CDO), Operations Directorate Executive Data Officer (XDO), and other government stakeholders to define operational data requirements.
  • Participate in governance boards, technical working groups, and strategic planning forums.
  • Translate complex technical findings into clear, actionable recommendations for senior military leadership and non-technical stakeholders.
  • Ensure analytical capabilities directly support operational planning, mission execution, and strategic decision-making.

Analytics & Technology

  • Guide the use of SQL, Python, R, and other analytical tools to develop data-driven solutions.
  • Oversee implementation and utilization of visualization platforms such as Power BI, Tableau, Qlik, Palantir Foundry, and Maven Smart System (MSS).
  • Support enterprise analytics platforms, distributed data processing technologies, and database environments including Apache Spark, Databricks, Hadoop, Oracle, PostgreSQL, MySQL, and Microsoft SQL Server.
  • Promote adoption of modern analytics methodologies and industry best practices.

Required Qualifications

  • U.S. Citizenship is required.
  • Active Top Secret security clearance with SCI eligibility.
  • Bachelor's degree in Data Science, Analytics, Computer Science, Information Technology, or a related technical discipline.
  • More than 10 years of progressively responsible experience in data science, analytics, or data engineering, including significant leadership experience.
  • Demonstrated experience supporting Military, Federal Government, or Intelligence Community organizations.
  • Proven experience gathering, implementing, and managing data science requirements for senior government stakeholders.
  • Expertise developing and deploying advanced AI/ML solutions using frameworks such as TensorFlow, PyTorch, and Scikit-learn.
  • Advanced proficiency in Python and/or R for data engineering, automation, analytics, and machine learning development.
  • Experience designing and maintaining ETL/ELT pipelines, data warehouses, and data lake/lakehouse environments.
  • Experience with enterprise data visualization and analytics platforms, including Power BI, Tableau, Qlik, Palantir Foundry, or Maven Smart System (MSS).
  • Experience working with distributed data processing technologies such as Apache Spark, Databricks, and Hadoop.
  • Experience administering or utilizing relational database platforms including SQL Server, Oracle, PostgreSQL, and MySQL.
  • Strong written and verbal communication skills with demonstrated experience briefing senior military or government leadership.
  • Ability to travel occasionally to domestic and international locations.

Preferred Qualifications

  • Master's degree in Data Science, Computer Science, Analytics, Information Technology, or another related technical discipline.
  • Experience implementing enterprise data and analytics solutions within Azure, AWS, or Google Cloud environments.
  • Strong knowledge of Department of Defense data strategies, governance frameworks, cybersecurity requirements, and information assurance standards.
  • Experience with ESRI ArcGIS technologies and geospatial analytics.
  • Demonstrated success leading cross-functional technical teams in fast-paced operational environments.
  • Experience supporting AI/ML modernization initiatives within Department of Defense or Intelligence Community organizations.

Benefits
Venatôre offers a competitive benefits package designed to support the well-being of our employees, including:

  • Paid Time Off (PTO)
  • 10 Federal Holidays
  • 401(k) with company matching
  • Medical, dental, and vision insurance
  • Paid military leave

Venatôre is a woman owned small business and an equal opportunity employer. We consider qualified applicants without regard to disability or protected veteran status.