Chief Data Scientist Jobs

Chief Data Scientists shape how organizations use data, analytics, and artificial intelligence to make decisions and create business value. As senior executives, they set data science strategy, guide teams, and partner with leaders across the organization to turn complex information into measurable results. Explore vetted Chief Data Scientist (CDS) opportunities paying $100,000 or more on Ladders.

What Does a Chief Data Scientist Do?

A Chief Data Scientist leads an organization’s data science vision and execution. Typical responsibilities include setting priorities for analytics and machine learning, overseeing data science teams, establishing standards for model development, and explaining findings to executives and stakeholders. Depending on the company, the role may also cover AI strategy, data governance, experimentation, and the development of data products.

Skills and Qualifications

Employers commonly seek extensive experience in data science, statistics, machine learning, or a related discipline, along with a record of leading teams and delivering business outcomes. Strong candidates combine technical judgment with executive communication, strategic planning, and cross-functional collaboration. Familiarity with responsible AI, privacy, data quality, and cloud-based data platforms can also be valuable.

Chief Data Scientist Career Opportunities

Chief Data Scientists work across industries including technology, financial services, healthcare, retail, manufacturing, and consulting. The position may be titled Chief Data Scientist, Chief AI Officer, VP of Data Science, or Head of Data Science, depending on the organization’s structure. These leaders often work closely with engineering, product, legal, and business teams.

Find Chief Data Scientist Jobs on Ladders

Browse vetted professional opportunities for Chief Data Scientists and related data science leaders on Ladders. Discover roles with salaries of $100,000 or more, compare opportunities, and find a position that matches your leadership experience and career goals.

1,000+

Chief Data Scientist (CDS) Remote Jobs

Average Salary: $232,213

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EPAM Systems Gartner Real Chemistry SAIC Atlassian CACI International Horizon3.ai NVIDIA Corporation CenterWell Primary Care Datavant World Wide Technology Instacart Fetch Databricks Dell

Top Remote job titles

Senior Data Engineer jobs Data Science Manager jobs Senior Data Scientist jobs AI Software Engineer jobs Data Engineer jobs Senior Data Analyst jobs Data Scientist jobs Solution Architect jobs Project Manager jobs Research Scientist jobs AI Product Manager jobs Principal Data Scientist jobs Staff Software Engineer jobs Senior Program Manager jobs Lead Data Scientist jobs

Frequently Asked Questions (FAQ)

What does a Chief Data Scientist do?
A Chief Data Scientist sets data science strategy, leads analytics and machine learning teams, and helps executives apply data-driven insights to business decisions. The role may also oversee AI initiatives, data products, and responsible data practices.
What qualifications are common for Chief Data Scientist jobs?
Employers typically look for deep experience in data science or a related technical field, leadership experience, and a record of delivering measurable results. Expertise in machine learning, statistics, AI, data governance, and executive communication is often valued.
How is a Chief Data Scientist different from a Data Science Manager?
A Data Science Manager generally leads a team or function, while a Chief Data Scientist typically sets strategy across the organization and advises senior executives. The exact scope varies by company.
Which industries hire Chief Data Scientists?
Chief Data Scientists are hired in technology, financial services, healthcare, retail, manufacturing, consulting, and other sectors that rely on analytics, machine learning, or AI.
What salary range can I expect for Chief Data Scientist jobs on Ladders?
Ladders focuses on vetted professional jobs paying $100,000 or more. Compensation varies based on factors such as industry, location, company size, and the scope of the role; review individual listings for salary details.