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Chief Data Science Officer Jobs (NOW HIRING)

Nebraska State Jobs

Chief Data Officer

Lincoln, NE · On-site

$53.06/hr

JR2026-00022708 Chief Data Officer (Open) Applications No Longer Accepted On (If no date is ... Bachelor's degree in computer science, Information Systems, related field and a minimum of 5 years ...

Brown & Brown Insurance

Chief Data Officer

Charlotte, NC · On-site

$250K - $350K/yr

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

Son

Chief Data Officer

Lincoln, NE · On-site

$53.06/hr

JR2026-00022708 Chief Data Officer (Open) Applications No Longer Accepted On (If no date is ... Bachelor's degree in computer science, Information Systems, related field and a minimum of 5 years ...

Innovizant LLC

Data Scientist

Madison, WI · On-site

... data science, data engineering and decision science to provide winning actionable insights ... Chief Data Officer), BASEL-PRO (for achieving compliance with industry requirements of Basel ...

Innovizant LLC

Data Scientist

Madison, WI

... data science, data engineering and decision science to provide winning actionable insights ... Chief Data Officer), BASEL-PRO (for achieving compliance with industry requirements of Basel ...

janney

The Chief Data Officer will define and execute the firm's enterprise data strategy, affirming data as a practical actionable asset to drive advisor productivity, client outcomes, and business growth.

Mondelez International

$174K - $287K/yr

Make It Possible. Role Description The Data Science Service Lead will play a crucial role in ... MDS Platform teams (Emerging Tech, CTO etc) * MDS Domain/Function Lead and D&A Product Stream Lead ...

janney

The Chief Data Officer will define and execute the firm's enterprise data strategy, affirming data as a practical actionable asset to drive advisor productivity, client outcomes, and business growth.

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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 Scientist

Chief Data Scientist

Mondelēz International

East Hanover, NJ • On-site

Full-time

Re-posted 12 days ago

Mondelez International rating

6.9

Company rating: 6.9 out of 10

Based on 150 frontline employees who took The Breakroom Quiz

215th of 395 rated food and drinks producers

Job description

Job Summary:
Mondelēz International is a leading company in the snacking industry, seeking a Chief Data Scientist to drive business growth through data science initiatives. The role involves developing strategies, leading a team of data scientists, and collaborating with cross-functional teams to deliver data-driven solutions that align with the company's objectives.
Responsibilities:
• Lead the development of key focus areas in data science, develop strategies and define clear roadmaps to bring these to life, in partnership with senior executives across the Enterprise
• Engage executive-level stakeholders and translate business problems into solution concepts with business value impact
• Own the Data Science Competency and executes an upskilling program for broader data science community in Mondelēz.
• Lead the Artificial Intelligence Community of Practice (AI CoP) to create a network community of Data Science practitioners that supports upskilling, exchange of ideas, learning and career development
• Accountable for the MDS D&A Data Scientists and ML Engineering & Operations services in in support of the product streams.
• Manage enterprise projects and collaborate with stakeholders and teams globally.
Qualifications:
Required:
• Advance degree in Data Science, Computer Science, Engineering, Computational Statistics, Mathematics.
• At least 15 years of professional experience, with at least 10 years in a Data Science field as team leader, with proven experience designing, developing, and implementing analytical systems, including the creation of Minimum Viable Products (MVPs).
• Has at least 5 years’ experience in managing an enterprise Data Science program, Machine Learning (ML) / Large Language Model (LLM), adaptability building programs and strategic roadmaps.
• Strong program management, leadership skills and experience working with global cross-functional teams. Ability to collaborate with internal Data & Analytics teams to develop enterprise protocols.
• Curates the Data Science technology stack in partnership with internal technology platforms and enterprise architecture teams.
• Understanding of various Data Science/AI/ML algorithms as well as their application in business processes.
• Knowledge about application architecture, data security and compliance.
• Knowledge with the following but not limited to: Database systems such as MySQL, MongoDB, Big Query and Neo4j.
• Source code management system like GitHub, Mercurial, and SVN for collaborative development.
• Analytic notebooks such as Jupiter and Zeppelin.
• Expertise in creating interactive data visualizations with open-source web technologies such as Angular, Vue, React, or D3.js, as well as frameworks such as Shiny and Plotly Dash.
• Ability to develop data-intensive, containerized full-stack web applications using technologies such as Node.js, Flask, and Django.
• Knowledge with cloud-based environments such as Google Cloud, Microsoft Azure and AWS and their machine learning components.
• Experience working with big data analytical environments including Apache Spark, Presto, Impala, or other distributed SQL engines.
Company:
Mondelēz International, Inc. Founded in 1903, the company is headquartered in Chicago, USA, with a team of 10001+ employees. The company is currently Late Stage.

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About Mondelez International

Sourced by ZipRecruiter

Mondelez International, headquartered in Chicago, IL, US, is a leading player in the global snack industry. Known for creating moments of joy in 160 countries, the company specializes in the production and distribution of biscuits, chocolates, gum, candy, cheese and grocery products. Mondelez International was formed in 2012 following the split of Kraft Foods Inc., with the aim to build the best snacking company in the world. The company’s mission centers on leading the future of snacking by offering the right snack, for the right moment, made the right way. Significant accomplishments include owning some of the world's favorite brands including Oreos, Cadbury, Trident, and Toblerone, and being recognized for reducing environmental footprints and championing sustainable ingredient sourcing.

Industry

Food and drink manufacturing

Company size

10,000+ Employees

Headquarters location

Chicago, IL, US

Year founded

1903

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