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Chief Data Science Officer Jobs (NOW HIRING)

WiSC Enterprises, LLC

Chief Data Architect

Mclean, VA

$64.50 - $83/hr

The Chief Data Architect leads the design and implementation of enterprise data architecture and ... Advanced degree in Data Science, Computer Science, Engineering, or related field.

WiSC Enterprises, LLC

Chief Data Architect

Mclean, VA · On-site

$64.50 - $83/hr

Overview The Chief Data Architect leads the design and implementation of enterprise data ... Advanced degree in Data Science, Computer Science, Engineering, or related field.

Mercor

Chief Data Scientist

San Francisco, CA · Remote

$70 - $100/hr

Data Science Experts Type: Contract Compensation: $70-$100/hour Location: Remote Commitment: 40 hours/week Role Responsibilities * Guide research and engineering teams on data science methodology ...

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 ...

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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 Jul 14, 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) typically earns a salary ranging from $150,000 to over $300,000 annually, depending on the company's size, industry, and location. Compensation often includes bonuses, stock options, and other benefits, reflecting the seniority and expertise required for the role.

Which 3 jobs will survive AI?

Chief Data Science Officers will continue to be essential as AI advances because they oversee complex data analysis, model development, and strategic implementation that require human judgment and domain expertise. Jobs involving creative thinking, emotional intelligence, and complex problem-solving, such as healthcare professionals and skilled trades, are also likely to persist alongside AI automation. These roles demand skills that are difficult for AI to replicate fully.

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.

How much does a chief data officer make?

A Chief Data Officer (CDO) typically earns between $150,000 and $250,000 annually, with total compensation often including bonuses and stock options. Salaries vary based on company size, industry, location, and experience, and CDOs usually have advanced degrees and expertise in data management and analytics tools.

What is the highest paid job in data science?

The highest paid roles in data science are often senior executive positions such as Chief Data Officer or Chief Data Science Officer, with salaries reaching into the high six or seven figures depending on the industry, company size, and location. These roles typically require extensive experience, advanced skills in machine learning, data strategy, and leadership, along with strong business acumen.

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
Chief Data Architect

Chief Data Architect

WiSC Enterprises, LLC

Mclean, VA

$64.50 - $83/hr

Full-time

Posted 6 days ago

Job description

The Chief Data Architect leads the design and implementation of enterprise data architecture and big data solutions supporting mission and operational objectives. This role provides technical leadership for large-scale data integration, analytics, visualization, and data engineering initiatives.


  • Define and implement enterprise Big Data architecture frameworks.
  • Translate mission and operational requirements into data systems, analytics, and visualization solutions.
  • Design scalable data architectures supporting structured, semi-structured, and unstructured data environments.
  • Guide engineering teams in developing data-centric solutions and analytic platforms.
  • Support data ingestion, management, transformation, and visualization initiatives.
  • Collaborate with multidisciplinary teams to extract operational insights from large and complex datasets.
  • Develop strategies for managing high-volume and high-velocity data environments, including real-time data feeds.

  • Experience designing and implementing Big Data architecture frameworks.
  • Experience translating mission needs into data system and analytics requirements.
  • Experience managing and integrating large-scale structured, semi-structured, and unstructured datasets.
  • Experience supporting data visualization and analytic solution development.
  • Strong understanding of enterprise data engineering and architecture principles.
  • TS/SCI Poly

  • Experience supporting intelligence community or federal data modernization initiatives.
  • Experience with cloud-based big data ecosystems and enterprise analytics platforms.
  • Strong leadership and stakeholder engagement capabilities.
  • Advanced degree in Data Science, Computer Science, Engineering, or related field.

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