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Global Data Science Jobs (NOW HIRING)

... 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 ...

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 ...

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 ...

... 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 ...

Software Engineer in Data Science

Houston, TX ยท 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 ...

Software Engineer in Data Science

Houston, TX ยท 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 ...

Software Engineer in Data Science

Houston, TX ยท 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 ...

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 ...

Data Scientist

Dearborn, MI ยท On-site

$128K - $186K/yr

Leading the development and delivery of a suite of GenAI applications in support of the global marketing organization. Architecting and integrating complex novel data science algorithms into the ...

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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 29, 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
Infographic showing various Global Data Science job openings in the United States as of June 2026, with employment types broken down into 2% As Needed, 64% Full Time, 26% Part Time, 7% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.
Data Scientist

Data Scientist

The NPD Group, Inc.

Port Washington, NY โ€ข On-site

Full-time

Posted 12 days ago


Job description

Company Description
The world around us is changing. Retail is in a state of major transition, and consumers have more options than ever. As a leading provider of global information and advisory services, NPD is at the forefront of helping our clients, the world's biggest brands and retailers understand and profit from these changes.
Since 1966, we have been helping businesses track industry trends and understand their customers in order to get the right products in the right places for the right people at the right prices. We serve more than a dozen industries including consumer electronics, entertainment, fashion, food / foodservice, toys, video games, and more.
We want to lead manufacturers and retailers on collaborating via the effective use of our information in line reviews and joint business planning.
Job Description
NPD group is looking for a principal data scientist on both the engineering side and the analytics side of data 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 challenging questions about data quality, which is at the center of NPD's value creation for our clients. This is a leadership position and will require superior ability to quickly gather information and requirements from stakeholders, formulate solution, and implement the solution within the data quality groups. This position will interact frequently with senior leadership teams and will direct and manage the work of junior data scientists. Qualified candidates will have a strong academic background in mathematics, statistics, computer science, operational research, economics, and other highly quantitative disciplines, passion about data science and machine learning and experience with big data architecture and methods.
Overall Responsibilities:
  • Drive the creation of new data quality management capabilities that will bring significant operational efficiency.
  • Conceptualize, analyze and develop actionable recommendations best practices in data quality processes
  • Work with key stakeholders and understand their needs to develop new or improve existing solutions around data quality.
  • Manage data analysis to develop fact-based recommendations for innovation projects.
  • Work with cross-functional teams to develop ideas and execute business plans.
  • Remain current on new developments in data quality

Qualifications
  • 8+ years' experience in modeling and predictive analytics with experience working with recommendation engine
  • Excellent problem solving skills with the ability to design algorithms, which may include data profiling, clustering, anomaly detection, and predictive modeling methodologies
  • Strong skills in statistical analyses with abilities in advanced data management and statistical programming using SAS, R, and other languages
  • Familiarity with Agile methodology
  • Ability to work cross-functionally in a highly matrix driven organization under ambiguous circumstances
  • Broad understanding and experience of recommendation engine
  • Personal qualities desired: creativity, tenacity, curiosity, and passion for deep technical excellence
  • Advanced degree in a quantitative field (Statistics, Mathematics, Economics, etc.), PhD highly preferred.

Additional Information
*NPD is an EQUAL EMPLOYMENT OPPORTUNITY/AFFIRMATIVE ACTION EMPLOYER.
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