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Chief Data Science Officer Jobs (NOW HIRING)

C2 Alaska, LLC

Chief Data Officer

Dayton, OH

This role supports the Chief Data Officer and AI leadership in designing and implementing digital ... Master of Arts (MA)/Master of Science (MS) in Science; Engineering, Mathematics, or Statistics

Chenega Corporation

Chief Data Officer

Dayton, OH

This role supports the Chief Data Officer and AI leadership in designing and implementing digital ... Master of Arts (MA)/Master of Science (MS) in Science; Engineering, Mathematics, or Statistics

C2 Alaska, LLC

Chief Data Officer

Dayton, OH

This role supports the Chief Data Officer and AI leadership in designing and implementing digital ... Master of Arts (MA)/Master of Science (MS) in Science; Engineering, Mathematics, or Statistics

C2 Alaska, LLC

Chief Data Officer

Dayton, OH · On-site

This role supports the Chief Data Officer and AI leadership in designing and implementing digital ... Master of Arts (MA)/Master of Science (MS) in Science; Engineering, Mathematics, or Statistics

Maximus

Chief Data Scientist

Tampa, FL · On-site

General information Job Posting Title Chief Data Scientist Date Thursday, May 7, 2026 City Tampa ... Job-Specific Minimum Requirements: - Bachelor's degree in Data Science, Computer Science ...

IDBNY

Chief Data Officer

Manhattan, NY · On-site

$225K - $275K/yr

Chief Data Officer (CDO) Role Overview The Chief Data Officer (CDO) is a senior executive ... Bachelor's degree in Data Science, Computer Science, Business, or related field (Master's or MBA ...

Trustly

Chief Data Officer

San Francisco, CA

About the role Reporting directly to the Global CTO, the Chief Data Officer (CDO) will serve as ... Build and grow a team of machine learning engineers and data scientists, establishing rigorous ...

Trustly

Chief Data Officer

New York, NY · On-site

About the role Reporting directly to the Global CTO, the Chief Data Officer (CDO) will serve as ... Build and grow a team of machine learning engineers and data scientists, establishing rigorous ...

Trustly

Chief Data Officer

San Francisco, CA · On-site

About the role Reporting directly to the Global CTO, the Chief Data Officer (CDO) will serve as ... Build and grow a team of machine learning engineers and data scientists, establishing rigorous ...

Trustly

Chief Data Officer

New York, NY

About the role Reporting directly to the Global CTO, the Chief Data Officer (CDO) will serve as ... Build and grow a team of machine learning engineers and data scientists, establishing rigorous ...

Trustly

Chief Data Officer

New York, NY · On-site

About the role Reporting directly to the Global CTO, the Chief Data Officer (CDO) will serve as ... Build and grow a team of machine learning engineers and data scientists, establishing rigorous ...

Brown & Brown, Inc.

Chief Data Officer

Charlotte, NC · On-site +1

$250K - $350K/yr

The Chief Data Officer (CDO) is a senior executive responsible for defining, building, and scaling the enterprise-wide data strategy. Reporting directly to the Chief Information Technology Officer ...

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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 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.
Manager, Data Science / Chief Data Scientist (HCA/ITD #10117621)

Manager, Data Science / Chief Data Scientist (HCA/ITD #10117621)

State of New Mexico

Albuquerque, NM • On-site

$51.72 - $82.76/hr

Full-time

Posted 11 days ago

State Of New Mexico rating

7.1

Company rating: 7.1 out of 10

Based on 63 frontline employees who took The Breakroom Quiz

39th of 50 rated states

Job description

$51.72 - $82.76 Hourly
$107,584 - $172,135 Annually
This position is a Pay Band C13
Posting Details
This job posting may be used to fill multiple vacancies.
Interviews are anticipated to be conducted within two weeks of closing date.
    Our Vision
    • Every New Mexican has access to affordable health care coverage through a coordinated and seamless health care system.

    Our Mission
    • We ensure that New Mexicans attain their highest level of health by providing whole-person, cost-effective, accessible, and high-quality health care and safety-net services.

    Our Goals
    • Leverage purchasing power and partnerships to create innovative policies and models of comprehensive health care coverage that improve the health and well-being of New Mexicans and the workforce.
    • Achieve health equity by addressing poverty, discrimination, and lack of resources, building a New Mexico where everyone thrives.
    • Implement innovative technology and data-driven decision-making to provide unparalleled, convenient access to services and information.
    • Build the best team in state government by supporting employees' continuous growth and wellness.

    Why does the job exist?
    The Manager, Data Science / Chief Data Scientist:
    • Leads the development and execution of data strategies that drive informed decision making and generate meaningful business insights;
    • Partners closely with Information Technologies (IT) and key business units to design innovative, data driven solutions aligned with the Health Care Authority's (HCA) strategic goals;
    • Serves as a trusted advisor for data driven insights, functioning as the head of analytics and solutions for the organization;
    • Works under the supervision of the HCA Chief Data and Analytics Officer to guide the strategic analytics function within the Office of Data and Analytics;
    • Ensures HCA remains at the forefront of advanced analytic solutions, supporting data driven decisions and program development;
    • Plays a key role in expanding HCA's capabilities in prescriptive and cognitive analytics;
    • Leads efforts to enhance analytic skills and data literacy across the organization;
    • Supports HCA's mission of implementing innovative technologies that provide convenient and unparalleled access to information and services.

    How does it get done?
    The Manager, Data Science / Chief Data Scientist is responsible for:
    • Serving as the department's lead expert and sharing best practices in statistics, data modeling, applied mathematics, quantitative research, and predictive modeling;
    • Developing relationships with cross departmental partners to build collaborative analytics efforts that support policy development, reduce inequality, and promote equity for New Mexicans;
    • Translating business needs into analytics and reporting requirements that support executive decisions and workflows;
    • Encouraging informed risk-taking and acting as a catalyst for innovation by generating practical, sustainable, and creative solutions that maximize existing resources;
    • Performing large-scale experimentation and building data driven models to address business questions;
    • Mining and analyzing large structured and unstructured datasets, identifying trends and patterns, defining and monitoring metrics, creating data narratives, and building tools that drive decisions;
    • Researching and implementing cutting-edge machine learning, deep learning, and artificial intelligence techniques to increase efficiency in data analysis;
    • Providing technical support for internal studies, including outcome evaluations, process reviews, program implementation assessments, needs analyses, performance measurement, feasibility studies, and program monitoring;
    • Developing and maintaining technical knowledge in machine learning, generative AI, and related technologies while staying current with industry trends and best practices;
    • Ensuring effective design and high-quality deliverables in the machine learning domain by designing and developing ML and deep learning systems, running tests, and implementing appropriate algorithms;
    • Applying statistical analysis and visualization techniques such as hierarchical clustering, tSNE, and PCA to support machine learning activities;
    • Developing and maintaining a training program in basic statistics and data analysis tools for new analysts and staff to strengthen the hub and spoke model and expand data driven decision-making capacity;
    • Engaging in the development of data standards and data governance operations, including documenting business rules, metadata, procedures, and supporting quality improvement efforts across the organization.

    Who are the customers?
    The Manager, Data Science / Chief Data Scientist will:
    • Understand HCA's strategy and work to enable and develop innovative analytic solutions that advance HCA's mission and goals;
    • Engage with the CDAO, CIO, and the HCA Strategy Team, which includes the HCA Secretary, Deputy Secretaries, and Division Directors;
    • Collaborate with various program business leaders and division/spoke data teams to support strategic and analytic needs.

    Ideal Candidate
    The Ideal Candidate will have:
    • Master's Degree (MS/MSc) or PhD in Statistics, Data Science, Mathematics, Physics, Economics, Engineering, or a related quantitative field, including advanced statistical methods for Epidemiology or Public Health;
    • Specialization in machine learning or artificial intelligence preferred;
    • Ten (10) years of relevant project experience launching, planning, and executing data science projects, including statistical analysis, program outcome/impact evaluation, data engineering, and data visualization;
    • Four (4) or more years of leadership experience in business or operations research, ideally managing business or research teams at or above a mid-management level;
    • Experience working with health data (health records or claims) and conducting health systems research in the public or private sectors;
    • Knowledge of and experience with enterprise-wide analytics and data governance frameworks and processes;
    • Proven experience conducting statistical analyses and building models using advanced scripting languages;
    • Experience leading projects that apply machine learning and data science methods to business functions;
    • Specialization in advanced ML techniques such as text analytics, image recognition, graph analysis, or deep learning preferred;
    • Fluency in multiple programming languages and statistical tools, including Python, C++, JavaScript, R, SAS, Excel, SQL, MATLAB, and SPSS;
    • Knowledge of distributed data and computing tools such as MapReduce, Hadoop, Hive, or Kafka;
    • Expert-level understanding of statistical and data mining techniques such as GLM/regression, random forest, boosting, decision trees, text mining, hierarchical clustering, deep learning, CNNs, and RNNs;
    • Strong understanding of AI, its applications in business problem-solving, and the trajectory of agentic and generative AI models;
    • Demonstrated willingness and ability to learn new technologies on the job;
    • Ability to communicate complex projects, models, and results to diverse audiences with varying technical backgrounds;
    • Ability to collaborate effectively in diverse, cross-functional teams within a dynamic environment;
    • Strong presentation skills, including storytelling and techniques that guide, influence, and inspire.

    Minimum Qualification
    Bachelor's degree in Business Administration, Science Technology, Engineering, and Mathematics (STEM), Computer Science, Data Science, Information Systems, Statistics, Physics, Economics, or related field and ten (10) years of combined experience in cloud engineering, cloud migration, data engineering, data integration, streaming data development, data warehousing, data curation, data analysis, design, storage, data protection and security, or related field. Any combination of education from an accredited college or university in a related field and/or direct experience in this occupation totaling fourteen (14) years may substitute for the required education and experience.
    Employment Requirements
    Must possess and maintain a valid Driver's License.
    Must obtain a Defensive Driving Certificate.
    Employment is subject to a pre-employment criminal background investigation and is conditional pending results.
    Supplemental Information
    Do you know what Total Compensation is? Click here
    Agency Contact Information: Theresa Romero, (505) 394-2977. Email
    For information on Statutory Requirements for this position, click the Classification Description link on the job advertisement.
    Bargaining Unit Position
    This position is not covered by a collective bargaining agreement.

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