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Global Data Science Jobs (NOW HIRING)

Holland America Group

Senior Data Scientist

Miami, FL · On-site

This position resides in a Princess team but is part of a global data science community. With limited oversight, this role will apply their deep knowledge of the system and its complexities and their ...

Vantage Data Centers

Data Scientist, NA

Denver, CO · On-site

Operating across regions and collaborating with global stakeholders, the Data Scientist ensures analytical models align with enterprise data architecture, governance standards, and long-term ...

Holland America Group

Senior Data Scientist

Miami, FL · On-site

This position resides in a Princess team but is part of a global data science community. With limited oversight, this role will apply their deep knowledge of the system and its complexities and their ...

The NPD Group, Inc.

Data Scientist

Port Washington, NY · On-site

... science. This position resides in the Global Data Quality Management group. He or she will combine the skills to create new prototypes with the creativity and thoroughness to interrogate the most ...

The NPD Group, Inc.

Data Scientist

Port Washington, NY · On-site

... science. This position resides in the Global Data Quality Management group. He or she will combine the skills to create new prototypes with the creativity and thoroughness to interrogate the most ...

Ford Motor Company

Senior Data Scientist

Dearborn, MI · On-site

That's where Global Data Insight & Analytics makes an impact. We advise leadership on business ... Master's degree in quantitative fields, such as Data Science, Engineering, Operations Research ...

Ascot Group

Global Data Delivery Lead

Iselin, NJ · On-site

The Global Data Delivery Lead plays a pivotal role in transforming data into actionable insights ... Bachelor's degree in information technology, Computer Science, Business Analytics, or a related ...

Vitol

Software Engineer in Data Science

Houston, TX · On-site

$109K - $131K/yr

In conjunction with the global Data Scientists deliver models and solutions to business users, and other technology teams across a wide range of projects and technologies * Develop, test, maintain ...

Vitol

Software Engineer in Data Science

Houston, TX · On-site +1

$109K - $131K/yr

In conjunction with the global Data Scientists deliver models and solutions to business users, and other technology teams across a wide range of projects and technologies * Develop, test, maintain ...

Vitol

Software Engineer in Data Science

Houston, TX · On-site +1

$109K - $131K/yr

In conjunction with the global Data Scientists deliver models and solutions to business users, and other technology teams across a wide range of projects and technologies * Develop, test, maintain ...

Vitol

Software Engineer in Data Science

Houston, TX · On-site +1

$109K - $131K/yr

In conjunction with the global Data Scientists deliver models and solutions to business users, and other technology teams across a wide range of projects and technologies * Develop, test, maintain ...

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Global Data Science information

See salary details

$46K

$165K

$243.5K

How much do global data science jobs pay per year?

As of Jun 9, 2026, the average yearly pay for global data science in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What is the difference between Global Data Science vs Data Analyst?

AspectGlobal Data ScienceData Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fields; often includes programming skillsBachelor's degree in Data Analysis, Statistics, or related fields; focus on analytical skills
Work EnvironmentGlobal teams, cross-cultural collaboration, advanced analytics projectsOffice or remote, focused on data reporting and visualization
Employer & Industry UsageTech companies, finance, healthcare, multinational corporationsRetail, marketing, finance, and smaller organizations

Global Data Science roles typically involve advanced analytics, machine learning, and working with international datasets, requiring broader technical skills. Data Analysts focus on interpreting data, creating reports, and supporting decision-making with less emphasis on complex modeling. Both roles are essential but differ in scope and complexity.

How does a Global Data Science role typically collaborate with teams across different regions and time zones?

In a Global Data Science role, collaboration often involves working with colleagues from various countries, which means navigating different time zones, cultures, and communication styles. Team members typically use collaborative platforms, regular virtual meetings, and clear documentation to ensure smooth workflow and knowledge sharing. Flexibility and proactive communication are key to managing project timelines and aligning on shared goals. This environment fosters learning from diverse perspectives and can lead to innovative solutions, but it also requires strong organizational and interpersonal skills.

What are the key skills and qualifications needed to thrive as a Global Data Scientist, and why are they important?

To thrive as a Global Data Scientist, you need strong analytical skills, statistical knowledge, proficiency in programming (such as Python or R), and typically a degree in data science, computer science, or a related field. Experience with data visualization tools (like Tableau or Power BI), big data platforms (such as Hadoop or Spark), and relevant certifications (e.g., Google Data Analytics, AWS Certified Data Analytics) are often required. Excellent communication, problem-solving abilities, and cross-cultural collaboration skills help you stand out in international, cross-functional teams. These competencies are crucial for extracting actionable insights from complex global datasets and effectively driving business decisions across diverse markets.

What is Global Data Science?

Global Data Science is a field that involves analyzing and interpreting data from international sources to support decision-making on a worldwide scale. Professionals in this area use statistical methods, machine learning, and big data technologies to extract insights from diverse datasets that span multiple countries or regions. They often address complex challenges related to data integration, cultural differences, and varying regulatory environments. The goal is to provide actionable insights that can help multinational organizations optimize their operations, understand global trends, and create data-driven strategies.
More about Global Data Science jobs
What job categories do people searching Global Data Science jobs look for? The top searched job categories for Global Data Science jobs are:
Global Data Science jobs near you
Infographic showing various Global Data Science job openings in the United States as of May 2026, with employment types broken down into 90% Full Time, 9% Part Time, and 1% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.
VP, Global Data & Analytics

VP, Global Data & Analytics

Little Caesars

Detroit, MI • On-site

Full-time

Posted 13 days ago

Little Caesars rating

4.5

Company rating: 4.5 out of 10

Based on 933 frontline employees who took The Breakroom Quiz

88th of 103 rated fast food restaurants

Job description

Job Summary:
Build a Bigger, Better, Bolder Future:
The Vice President of Global Data and Analytics will lead the vision, strategy, and execution for enterprise data for Little Caesar Enterprises, Inc. (LCE) to further build on goals of being a data-driven global enterprise. The position is responsible for data analytics, data science, business intelligence, data engineering and data governance functions.
Key responsibilities include identifying and articulating strategic data opportunities, developing and executing a comprehensive enterprise data roadmap, and ensuring alignment across all areas of the business. The role is also accountable for building organizational capability through talent development and upskilling, while driving a cohesive, forward-looking data strategy across LCE.
Your Mission:
  • Responsible for owning and developing the vision, strategy, and execution for global enterprise data, analytics and business intelligence , ensuring scalability of systems processes and talent.
  • Drive a culture of data-driven decision making and engage with senior leaders to both educate them on what is possible and to ensure that their immediate needs are being met.
  • Creation and management of a global integrated analytics roadmap.
  • Lead the team responsible for building and managing the technical infrastructure, data platform and visualization technologies.
  • Ensure that the support structure is in place for all data products to meet our business SLAs.
  • Lead the team responsible for creating and maintaining the reporting and analytics tools which support LCE executive leadership, all LCE corporate departments, franchisees, restaurant managers and crews.
  • Lead and scale a global team of data engineers, analysts, and scientists, driving enterprise analytics and empowering business functions through modern tools, high-quality data, and advanced analytical expertise.
  • Define and own the strategy for investments, working closely with key business analytics leaders, and executive management.
  • Manage data insights and analytics, including enterprise dashboards and support the creation of functional dashboards in partnership with business functions.
  • Oversee various current and potential visualization and analytics tools leveraging Little Caesar Enterprises, Inc. technology wherever appropriate.
  • Create an environment where power users have access to the data and self-service tools that they need to drive their business units forward.
  • Oversee global data governance and data integrity protocols and procedures.
  • Support machine learning and artificial intelligence initiatives.
  • Drive, mentor, and motivate the organization to focus on continuous operational excellence, enterprise analytics architecture evolution, improved solution design practices, and high-value technology selection decisions with transparency to business leaders and alignment with enterprise architecture.
  • Build an internal and external brand for the organization aimed at talent acquisition and retention in a highly competitive market.

Who You Are:
  • Bachelor's degree in Computer Science, Engineering, Statistics, Applied Mathematics or a related field.
  • Minimum of fifteen (15) years working in data pipelines, data warehouse, data analytics, data science, machine learning, artificial intelligence (AI), or related disciplines.
  • Minimum of ten (10) years working with a broad range of business intelligence (BI) tools.
  • Minimum of 10 years of management experience, including leading individual contributors and/or teams, with demonstrated accountability for performance management, talent development, and succession planning to support progression into more senior-level roles.
  • Experience building and leading data analytics, data science, and data engineering teams, including scaling capabilities (e.g., team size, tools, or platforms) and delivering measurable business outcomes.

What Will Make You Stand Out:
  • Advanced degrees in Computer Science, Engineering, Statistics, Applied Mathematics or a related field.
  • Experience working with customer data in a retail or quick service restaurant environment.
  • Experience working for/with business to consumer (B2C) technology companies.
  • Knowledge and practical application of advanced statistical analysis and mathematical modeling concepts and principles.
  • Experience in driving and leading data governance practices.
  • Experience productionizing machine learning models.

Where You Will Work:
  • Works in a normal office environment where there is no physical discomfort due to temperature, noise, dust and the like.
  • This position requires approximately 10%-20% travel which may include travel to restaurant locations and trade shows. This position requires the ability to adhere to the LCE Travel policy.
  • Requires accessibility during non-traditional hours such as evening, nights and weekends.

Competencies:
  • Ability to translate business needs to analytic requirements and interpret the results of complex data analysis and communicate them to broad audiences.
  • Outstanding business acumen with an understanding of business drivers (at the corporate, franchise and restaurant levels) and of how to drive value to the customer.
  • Demonstrated success partnering with executive leadership (C-suite and VP level) to influence strategy, translate complex concepts into clear business insights, and drive alignment on enterprise priorities, with a proven ability to communicate effectively across both technical and non-technical audiences.

Disclaimer:
The above is intended to describe the general content of and requirements for the performance of this job. It is not to be construed as an exhaustive statement of duties, responsibilities, or requirements.
All items listed above are illustrative and not comprehensive. They are not contractual in nature and are subject to change at the discretion of Little Caesars Enterprises Inc.
Little Caesar Enterprises, Inc. is an Equal Employment Opportunity employer. All qualified applicants will receive consideration for employment without regards to that individual's race, color, religion or creed, national origin or ancestry, sex (including pregnancy), sexual orientation, gender identity, age, physical or mental disability, veteran status, genetic information, ethnicity, citizenship, or any other characteristic protected by law.
The Company will strive to provide reasonable accommodations to permit qualified applicants who have a need for an accommodation to participate in the hiring process (e.g., accommodations for a job interview) if so requested.
This company participates in E-Verify. Click on any of the links below to view or print the full poster. E-Verify and Right to Work.
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