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Chief Data Science Officer Jobs (NOW HIRING)

ECS

Data Scientist Lead

Tampa, FL · On-site

Coordinate with the USCENTCOM Chief Data Officer (CDO), the Operations Directorate Executive Data ... BA/BS or MA/MS in Data Science, Analytics, Computer Science, Information Technology, or a related ...

Stanford Health Care

Data Scientist - AI/ML

Alto, TX · On-site

$79.21 - $104.97/hr

Reporting to the Data Science Director and working closely with Stanford Medicine's inaugural Chief Data Scientist, this role is responsible for developing AI solutions - from predictive algorithms ...

ATCC

Chief Scientific Officer

Gaithersburg, MD · On-site

... a Chief Scientific Officer (CSO) to partner with the CEO and Executive Leadership Team in ... Partner with Commercial, Operations, Quality, and data science teams to align priorities, integrate ...

ATCC

Chief Scientific Officer

Gaithersburg, MD

... a Chief Scientific Officer (CSO) to partner with the CEO and Executive Leadership Team in ... Partner with Commercial, Operations, Quality, and data science teams to align priorities, integrate ...

Cordova

Chief Data Governance

Omaha, NE · On-site

Our Client is seeking an experienced Chief Data Governance to lead their data governance efforts ... Requirements Bachelor's degree in Computer Science, Information Technology, or related field 10+ ...

ECS

Data Scientist Lead

Florida, NY · On-site

... science lifecycle, from exploration and algorithm development to statistical validation and ... Chief Data Officer (CDO), the Operations Directorate Executive Data Officer (XDO), and participate ...

Noblis

Cleared Chief Data Architect

Bethesda, MD · On-site

$68.25 - $87.75/hr

The Chief Data Architect will lead multi-disciplinary teams in designing cutting-edge data ... Lead and mentor multi-disciplinary teams including data engineers, data scientists, AI/ML engineers ...

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All JobsChief Data Science Officer Jobs

Chief Data Science Officer information

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$33K

$124.4K

$200.5K

How much do chief data science officer jobs pay per year?

As of Jun 23, 2026, the average yearly pay for chief data science officer in the United States is $124,409.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,000.00 and $146,000.00 per year, depending on experience, location, and employer.

How does a Chief Data Science Officer typically collaborate with other executive leaders to drive data-driven decision making?

A Chief Data Science Officer (CDSO) works closely with other C-level executives, such as the CEO, CTO, and CIO, to integrate data science initiatives into the broader business strategy. This often involves translating complex analytical insights into actionable recommendations for different departments, aligning data projects with organizational goals, and ensuring data governance standards are met. The CDSO also facilitates cross-functional collaboration by leading teams of data scientists, analysts, and engineers, and by communicating the value of data-driven approaches across the company. Effective collaboration at this level ensures that data science becomes a core driver of innovation and competitive advantage.

What is a Chief Data Science Officer?

A Chief Data Science Officer (CDSO) is a senior executive responsible for overseeing an organization's data science strategy and operations. They lead teams of data scientists, set data-driven goals, and ensure that data analytics align with the company's objectives. The CDSO works closely with other executives to integrate data insights into business decision-making, helping drive innovation and competitive advantage. They also oversee data governance, ethics, and compliance, ensuring that data is used responsibly and securely.

What is a CDO salary?

A Chief Data Science Officer (CDO) salary varies based on experience, industry, and location but typically ranges from $150,000 to over $300,000 annually. Senior CDOs with extensive expertise and leadership responsibilities can earn higher compensation, often including bonuses and stock options.

What are the key skills and qualifications needed to thrive as a Chief Data Science Officer, and why are they important?

To thrive as a Chief Data Science Officer, you need advanced expertise in data science, machine learning, and analytics, usually backed by a graduate degree in a quantitative field and significant leadership experience. Familiarity with big data platforms (like Hadoop and Spark), cloud computing tools (such as AWS or Azure), and proficiency in programming languages like Python or R are typically required. Exceptional strategic vision, communication skills, and the ability to inspire and manage multidisciplinary teams set top candidates apart. These skills are crucial for aligning data initiatives with business goals, driving innovation, and ensuring the organization's competitive edge.

Is AI replacing data scientists?

AI is transforming the role of data scientists by automating routine tasks such as data cleaning and basic analysis, allowing them to focus on complex problem-solving and strategic insights. While AI tools can augment their work, data scientists are still essential for designing models, interpreting results, and ensuring ethical use of data. The role continues to evolve with a focus on advanced skills in machine learning, programming, and domain expertise.

How much does a chief data officer make?

The salary of a Chief Data Officer (CDO) typically ranges from $150,000 to over $300,000 annually, depending on the company's size, industry, and location. Experienced CDOs with advanced skills in data management, analytics, and leadership can earn higher compensation, often including bonuses and stock options.

What is the highest paid job in data science?

The highest paid roles in data science typically include Chief Data Officer, Chief Data Science Officer, and senior executive positions such as Vice President of Data or Data Director, with salaries often exceeding $200,000 annually. These roles require extensive experience, leadership skills, and expertise in advanced analytics, machine learning, and data strategy.

What is the difference between Chief Data Science Officer vs Data Science Manager?

AspectChief Data Science OfficerData Science Manager
ResponsibilitiesStrategic leadership, setting data science vision, overseeing multiple teamsManaging data science projects, team supervision, project delivery
Required CredentialsAdvanced degrees (Master's/PhD), extensive experience in data science, leadership skillsDegree in data science, statistics, or related field; experience in managing data projects
Work EnvironmentExecutive-level, cross-departmental collaboration, strategic planningOperational role, team management, project execution

The Chief Data Science Officer focuses on strategic leadership and setting the overall data science direction within an organization, while the Data Science Manager handles day-to-day project management and team supervision. Both roles require strong technical backgrounds, but the CDSO operates at a higher strategic level, often collaborating with executive leadership.

More about Chief Data Science Officer jobs
What job categories do people searching Chief Data Science Officer jobs look for? The top searched job categories for Chief Data Science Officer jobs are:
Chief Data Science Officer jobs near you
Infographic showing various Chief Data Science Officer job openings in the United States as of June 2026, with employment types broken down into 98% Full Time, 1% Part Time, and 1% Temporary. Highlights an 98% Physical, and 2% Remote job distribution, with an average salary of $124,409 per year, or $59.8 per hour.
Data Scientist Lead

Data Scientist Lead

ECS

Tampa, FL • On-site

Full-time

Posted 15 days ago

Job description

Everforth ECS is seeking a Data Scientist Lead to join our team in Tampa, FL.
The successful candidate will be a senior subject matter expert in data science, leading a team of data professionals to enhance the command's data-driven decision-making capabilities. This role requires a demonstratable history of designing, developing, and operationalizing advanced analytical solutions within Military, Federal, or Intelligence organizations.
The Data Scientist Lead 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.
Key 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.
  • Manage and prioritize multiple projects and tasks simultaneously in a dynamic, fast-paced work environment.

  • Must be a U.S. Citizen
  • Active Top Secret clearance and SCI eligibility.
  • BA/BS or MA/MS in Data Science, Analytics, Computer Science, Information Technology, or a related field.
  • More than 10 years of relevant work experience, with significant experience leading data science or analytics teams.
  • 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).
  • Excellent written and verbal communication skills, with experience briefing senior leaders.
  • Must be available for occasional travel to domestic and international locations.

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