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International Data Science Jobs (NOW HIRING)

Mayo Clinic

Data Science Analyst

Phoenix, AZ · On-site

Data Scientists at Mayo Clinic perform detailed analysis of large bodies of heterogeneous data in ... and at our international locations. Each Mayo Clinic location is a special place where our ...

AIG

Manager Data Science, GenAI

Atlanta, GA · On-site

The Manager of Data Science will oversee a team delivering generative AI solutions and collaborate ... American International Group, Inc. (NYSE: AIG) is a leading global insurance organization. Founded ...

DataCamp

Data Science Editor

Belgium, WI · On-site +1

DataCamp is looking for a Data Science Editor! As part of the editorial team, you are a seasoned ... Joining DataCamp means becoming part of a dynamic, creative, and international start-up. Here are ...

DataCamp

Data Science Editor

Belgium, WI · On-site +1

DataCamp is looking for a Data Science Editor! As part of the editorial team, you are a seasoned ... Joining DataCamp means becoming part of a dynamic, creative, and international start-up. Here are ...

DataCamp

Data Science Editor

Belgium, WI · On-site +1

DataCamp is looking for a Data Science Editor! As part of the editorial team, you are a seasoned ... Joining DataCamp means becoming part of a dynamic, creative, and international start-up. Here are ...

AIG

Manager Data Science, GenAI

Atlanta, GA · On-site

We are an applied data science team operating in an agile, production-oriented environment, and we ... Reimagining insurance to make a bigger difference to the world American International Group, Inc ...

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How much do international data science jobs pay per year?

As of Jul 5, 2026, the average yearly pay for international data science in the United States is $110,038.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,000.00 and $155,000.00 per year, depending on experience, location, and employer.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of the results come from 20% of the efforts or features. Data scientists often use this concept to focus on the most impactful variables, optimize models, and prioritize tasks for efficient analysis and decision-making.

What is the highest paid job in data science?

The highest paid roles in data science are often senior positions such as Lead Data Scientist, Chief Data Officer, or Data Science Director, with salaries exceeding $150,000 annually. These roles typically require extensive experience, advanced skills in machine learning, and leadership abilities, often complemented by certifications like Certified Analytics Professional (CAP).

What are the key skills and qualifications needed to thrive in the International Data Science position, and why are they important?

To thrive in International Data Science, you need strong analytical skills, proficiency in statistical modeling, data analysis, and a relevant degree in fields like computer science, statistics, or mathematics. Familiarity with programming languages such as Python or R, experience with data visualization tools, and credentials like a Certified Data Scientist are highly valuable. Excellent cross-cultural communication, adaptability, and collaboration abilities help you succeed in geographically dispersed teams. These competencies ensure effective data-driven decision-making and smooth project execution across global business environments.

What are some common challenges faced by International Data Science professionals?

International Data Science professionals often navigate challenges like managing data privacy regulations that vary by country, harmonizing data formats from different regions, and collaborating across time zones. They may also encounter language barriers or cultural differences that impact teamwork and project timelines. Building effective workflows with distributed teams and ensuring consistent data quality are key parts of the role. Overcoming these challenges not only improves efficiency but also provides valuable experience working within global organizations.

Which country is best for data science career?

For data science careers, countries with strong tech industries like the United States, Canada, the United Kingdom, Germany, and Australia offer many opportunities, competitive salaries, and advanced infrastructure. These countries also have a high demand for data scientists, often requiring skills in programming, machine learning, and data analysis tools. Factors such as work visas, language, and local industry growth influence the best options for individual job seekers.

What is an International Data Science job?

An International Data Science job involves analyzing and interpreting complex data on a global scale to provide insights for multinational organizations. Professionals in this role work with diverse datasets from different countries, ensuring data consistency, compliance with international regulations, and cultural relevance in analyses. They collaborate with global teams to build machine learning models, optimize business operations, and support strategic decision-making. Strong technical skills, cross-cultural communication, and knowledge of regional data privacy laws are essential for success in this field.

Is 30 too late for data science?

International Data Science is a field open to individuals of all ages; many professionals transition into data science careers in their 30s or later. Success often depends on acquiring relevant skills such as programming, statistics, and machine learning, which can be developed through online courses, certifications, and practical experience regardless of age.
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International Data Science jobs near you
Data Science Analyst

Data Science Analyst

Mayo Clinic

Phoenix, AZ • On-site

Full-time

Medical, Dental, Vision, Retirement

Posted 7 days ago

Mayo Clinic rating

7.9

Company rating: 7.9 out of 10

Based on 687 frontline employees who took The Breakroom Quiz

104th of 877 rated healthcare providers

Job description

Data Scientists at Mayo Clinic perform detailed analysis of large bodies of heterogeneous data in order to discover new patterns and insights having an impact upon patient health and augmenting human capabilities. Candidate has expertise in AI, machine learning, deep learning, statistical data processing, regression techniques, neural networks, decision trees, clustering, pattern recognition, probability theory and data science methods used to analyze data.
May work with knowledge architects, informaticians and clinicians at Mayo, and partner outside companies to develop and deploy applications to bring AI and analytic solutions to nontechnical users, often at the point of care. Applies and modifies existing scripts or software applications to support data management, data extraction, data analysis, and AI as required May develop predictive models on datasets to address various business problems by leveraging statistical modeling, operations research, machine learning, or data mining techniques. May provide Consultative Services to departments/divisions and/or support scientific projects under the guidance of a designated senior level data scientist.
Other responsibilities:
Provides data insights for business problems that can be approached with analytics techniques to collect, explore, and extract insights from structured and    unstructured data.
Has expertise in the data science methods used to analyze data, and knowledge of data types, topics, and scientific challenges and approaches.
Executes analytical procedures in the framework of a specific project work request.
Creates or modifies scripts or software applications to support data management, data extraction and data analysis as required.
Contributes to the interpretation of data analysis and to writing reports.
Helps customers understand the data set and provide training and suggestions for improvement on the data request.
Leverages communication and interpersonal skills and works with subject matter experts
Presents findings in easy to understand terms for the business or clinical practice.

Why Mayo Clinic

Mayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News & World Report. As we work together to put the needs of the patient first, we are also dedicated to our employees, investing in competitive compensation and comprehensive benefit plans - to take care of you and your family, now and in the future. And with continuing education and advancement opportunities at every turn, you can build a long, successful career with Mayo Clinic.

Benefits Highlights
  • Medical: Multiple plan options.
  • Dental: Delta Dental or reimbursement account for flexible coverage.
  • Vision: Affordable plan with national network.
  • Pre-Tax Savings: HSA and FSAs for eligible expenses.
  • Retirement: Competitive retirement package to secure your future.
Just as our reputation has spread beyond our Minnesota roots, so have our locations. Today, our employees are located at our three major campuses in Phoenix/Scottsdale, Arizona, Jacksonville, Florida, Rochester, Minnesota, and at Mayo Clinic Health System campuses throughout Midwestern communities, and at our international locations. Each Mayo Clinic location is a special place where our employees thrive in both their work and personal lives. Learn more about what each unique Mayo Clinic campus has to offer, and where your best fit is. 

Equal Opportunity

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, protected veteran status or disability status. Learn more about the "EOE is the Law".  Mayo Clinic participates in E-Verify and may provide the Social Security Administration and, if necessary, the Department of Homeland Security with information from each new employee's Form I-9 to confirm work authorization.

A Bachelor's degree in a relevant field such as engineering, mathematics, computer science, health science, or other analytical/quantitative and a minimum of three years of professional or research experience in data science will be considered.
 

The preferred candidate will possess a Master's degree or a PhD in a relevant field such as engineering, mathematics, computer science, health science, or other analytical/quantitative field and a minimum of one year of professional or research experience in data. Demonstrated ability to develop predictive models to address various business problems through leveraging advanced statistical modeling, machine learning, or data mining techniques. May provide consultative services to departments/divisions and committees. Demonstrated application of several problem-solving methodologies, planning techniques, continuous improvement methods, and analytical tools and methodologies (e.g. machine learning, statistical packages, modeling, etc.) required. Incumbent must have ability to manage a varied workload of projects with multiple priorities and stay current on healthcare trends and enterprise changes. Interpersonal skills and time management skills are required. Requires strong analytical skills and the ability to identify and recommend solutions, advanced computer application skills and a commitment to customer service. Experience with data modeling and date exploration tools.

Preference will be given to candidates with the following experience and education:

  • Master's or PhD in Computer Science
  • Healthcare and imaging data

What Mayo Clinic employees say

Pay

Benefits

Hours and flexibility

Workplace

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About Mayo Clinic

Sourced by ZipRecruiter

Mayo Clinic is the largest integrated, not-for-profit medical group practice in the world. We're building the future, one where the best possible care is available to everyone — and more people can heal at home. Our relentless research turns into earlier diagnoses and new cures. That's how we inspire hope in those who need it most. At Mayo Clinic, experts work together to solve the most challenging unmet needs of patients. Our history of innovation dates back almost 150 years, when brothers Will and Charlie Mayo pioneered an integrated, team-based approach to medicine. Today, that trailblazing spirit drives innovations like Mayo Clinic Platform — which powers new technologies to change how care is delivered to all.

Industry

Hospitals

Company size

10,000+ Employees

Headquarters location

Rochester, MN, US

Year founded

1919

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