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Global Data Science Jobs (NOW HIRING)

PROPRIUS

Director Data Science

San Francisco, CA · On-site

Ability to define and implement a global Data Science strategy. * Proven track record in a Data Science leadership position. * Strong Machine Learning experience. * Ability to communicate effectively ...

Vitol

Software Engineer in Data Science

Houston, TX · On-site

$109K - $131K/yr

Vitol is the world's largest independent energy and commodities trading company, and they are seeking an experienced Software Engineer to join their global data science and machine learning team. The ...

TransUnion

Data Science Platform Developer

Chicago, IL · On-site

The team is responsible for protecting existing global data science environments, modernizing data science by onboarding practitioners to One True and cloud-based tooling, and continuously enhancing ...

Ford Motor Company

Data Scientist

Dearborn, MI · On-site

That's where Global Data Insight & Analytics makes an impact. We advise leadership on business ... Bachelor's degree in a quantitative field (e.g., Computer Science, AI, Statistics, Mathematics, or ...

Visa

Manager, Data Production

Foster City, CA · Hybrid

You will work closely with engineering, data science, business intelligence, governance, security, and global business teams to ensure highquality, scalable, compliant, and highperforming data ...

Visa

Manager, Data Production

Foster City, CA · On-site

You will work closely with engineering, data science, business intelligence, governance, security, and global business teams to ensure high-quality, scalable, compliant, and high-performing data ...

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Global Data Science information

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$46K

$165K

$243.5K

How much do global data science jobs pay per year?

As of Jul 22, 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.

Which country is best for data science jobs?

The United States, particularly cities like San Francisco and New York, offers many data science opportunities due to its large tech industry and high demand for analytics skills. Other countries with strong data science job markets include Canada, the United Kingdom, Germany, and Australia, which have growing tech sectors and competitive salaries. Fluency in programming languages like Python or R and familiarity with cloud platforms can enhance job prospects globally.

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.

Will AI replace data scientists in 2050?

Global Data Science roles involve analyzing data, developing models, and interpreting insights, which require a combination of technical skills and domain knowledge. While AI can automate certain tasks, data scientists will continue to be essential for designing, validating, and contextualizing models, especially as new tools and techniques emerge. The profession is expected to evolve, emphasizing skills in machine learning, programming, and critical thinking rather than being fully replaced by AI.

Is 40 too late for data science?

Global Data Science roles often value skills and experience over age, and many professionals transition into data science later in their careers. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, which can be developed at any age through courses, certifications, and practical projects.

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.

What is the highest paid job in data science?

The highest paid roles in data science are often senior positions such as Chief Data Officer, Director of Data Science, or Lead Data Scientist, with salaries exceeding $150,000 annually. These roles typically require extensive experience, advanced skills in machine learning, and leadership abilities, often complemented by advanced degrees and certifications.
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 July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. 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.

Director Data Science

PROPRIUS

San Francisco, CA • On-site

Full-time

Posted 8 days ago

Job description

Director Data Science

Location: San Francisco, CA

Sponsorship: Yes

Relocation: Yes

Industry: Data Science

A Fortune 500 is looking for a proven Data Science leader to create a new Data Science team. This is your chance to build a department, define a strategy, and implement a road-map to create and build data science products.


The department will be part of a new innovation center, essentially a start-up within a bigger organization. As the new leader of this department it is imperative that you bring disruptive ideas, creative mindsets and hire top-notch technical talent. The head of this new Data Science division will be expected to solve classic e-commerce problems; targeted advertising and marketing, recommendation systems, behavioral analytics and customer profiling, supply chain optimization, etc.


You will be tasked with designing, building and selling analytics tools and products within the wider business and build a world class team to help you accomplish the vision you have submitted to stakeholders. This is an incredible opportunity to make a significant impact on a multibillion-dollar business; greenfield positions like this do not come around often.

For this opportunity you will need:

  • PhD in Computer Science/related field/equivalent industry experience.
  • Extensive Data Science experience preferably in different environments.
  • Experience in building Data Science product and putting it into production.
  • Ability to define and implement a global Data Science strategy.
  • Proven track record in a Data Science leadership position.
  • Strong Machine Learning experience.
  • Ability to communicate effectively and influence at the C-level.

PROPRIUS is an AI Industry recruiting firm. We’re lucky enough to recruit the best candidates into the most exciting companies all over the United States. We deliver performance.