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Global Data Science Jobs (NOW HIRING)

DeepIntent

Director, Data Science

New York, NY · On-site

$200K - $250K/yr

What You'll Do DeepIntent is seeking a Director of Data Science to help lead our global data science organization and advance the next generation of data innovation in healthcare advertising ...

PROPRIUS

Director Data Science

San Francisco, CA

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 ...

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 ...

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 ...

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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 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.
Senior Director, Global Data Science (Oncology)

Senior Director, Global Data Science (Oncology)

Johnson and Johnson

Raritan, NJ • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago

Job description

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at jnj.com
As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.
Job Function:
Data Analytics & Computational Sciences
Job Sub Function:
Data Science
Job Category:
People Leader
All Job Posting Locations:
Raritan, New Jersey, United States of America
Job Description:
We are searching for the best talent for Senior Director, Global Data Science (Oncology) to be in Raritan, NJ.
About Innovative Medicine
Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow.
Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way.
Learn more at https://www.jnj.com/innovative-medicine
Purpose:
Johnson & Johnson Innovative Medicine is seeking a Senior Director, Global Data Science (Oncology) to work within the Global Commercial Data Science organization located in Raritan, NJ. The Senior Director, Global Data Science (Oncology) will serve as the strategic data and AI leader for Johnson & Johnson Innovative Medicine's Global Oncology portfolio. This role is responsible for shaping how advanced analytics, real-world data, and AI are applied to drive critical business decisions across oncology assets -- from early pipeline through global launch and in-market optimization.
This leader will drive the application of Engagement.AI for Launch and Medical to our Oncology portfolio, and partner across Commercial, Medical Affairs, Market Access, R&D, and regional organizations to deliver actionable insights that accelerate patient impact and maximize portfolio value. This individual will report directly to the VP, Global Data Science, GCSO, and will partner closely with other Data Science and CoE LT members.
You will be responsible for:
  • Lead the Data and AI strategy for the Global Oncology portfolio, informing go-to-market strategy, launch planning, and lifecycle optimization across priority assets.
  • Lead the application of Engagement.ai for Launch and Engagement.ai for Medical across our clinical state Oncology portfolio, delivering impactful insights that shape our go-to-market strategy and ensure launch readiness.
  • Lead the AI transformation of Oncology-focused GCSO teams through AI Next Frontier strategic initiatives and through driving AI adoption and its application to core business activities.
  • Generate and deliver actionable insights into patient journeys, treatment patterns, and physician behavior to guide brand and portfolio decisions.
  • Translate complex analytical outputs into clear, business-focused, decision-ready recommendations for senior stakeholders.
  • Drive data and AI innovation in areas including patient identification, patient and HCP segmentation, engagement optimization, and forecasting.
  • Lead and develop a high-performing team, fostering strong technical excellence and business acumen.
  • Manage a portfolio of high-impact initiatives, prioritizing resources to maximize business value.
  • Build differentiated capabilities that create sustained competitive advantage in Oncology.
  • Integrate diverse datasets (real-world data, clinical, claims, digital) into unified analytical frameworks.
  • Navigate data, privacy, and governance considerations to enable responsible and scalable use of oncology data and AI.

Qualifications / Requirements:
Required
  • Advanced degree (PhD, PharmD, MD, or MS) in a quantitative or scientific discipline.
  • Significant experience (10+ years) applying data science in pharmaceutical commercial setting.
  • Demonstrated ability to translate business questions into analytics techniques and interpret outcomes of analytical models into meaningful business insights and actionable recommendations.
  • Deep expertise in AI/ML, predictive analytics, and advanced analytics; cutting-edge application of generative and agentic AI to commercial use cases.
  • Strong partnering skills and technical domain know-how to successfully engage, influence, and lead colleagues through change in a fluid environment.
  • Strong problem solver with a solution-oriented mindset with ability to lead a cross-functional team toward innovative solutions.
  • Proven experience prioritizing and managing a complicated portfolio of projects.
  • Demonstrated ability to influence senior leaders in a complex, matrixed organization.
  • Excellent communication and storytelling skills and the ability to clearly present complex messages and frame trade-offs.
  • Proven track record leading and scaling high-performing analytical teams to deliver measurable business impact.

Preferred
  • Experience in Oncology across tumor types strongly preferred.
  • Strong understanding of oncology data (e.g., tumor types, treatment pathways, biomarkers and testing).
  • Deep experience in the U.S. pharmaceutical market and expertise across data domains and their application to key business issues.
  • Experience supporting product launches and portfolio strategy.

Other:
  • This position will require up to 35% travel.

Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.
Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants' needs. If you are an individual with a disability and would like to request an accommodation, external applicants please contact us via https://www.jnj.com/contact-us/careers , internal employees contact AskGS to be directed to your accommodation resource.
#LI-Hyrbid #JNJDataScience #JNJIMCommercial-DS
Required Skills:
Preferred Skills:
Advanced Analytics, Budget Management, Business Alignment, Compliance Management, Consulting, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Developing Others, Digital Fluency, Inclusive Leadership, Leadership, Strategic Thinking
The anticipated base pay range for this position is :
The anticipated base pay range for this position is $196,000 to $342,700 USD.
Additional Description for Pay Transparency:
Subject to the terms of their respective plans, employees and/or eligible dependents are eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. Subject to the terms of their respective plans, employees are eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)). This position is eligible to participate in the Company's long-term incentive program. Subject to the terms of their respective policies and date of hire, Employees are eligible for the following time off benefits: Vacation -120 hours per calendar year Sick time - 40 hours per calendar year; for employees who reside in the State of Washington -56 hours per calendar year Holiday pay, including Floating Holidays -13 days per calendar year Work, Personal and Family Time - up to 40 hours per calendar year Parental Leave - 480 hours within one year of the birth/adoption/foster care of a child Condolence Leave - 30 days for an immediate family member: 5 days for an extended family member Caregiver Leave - 10 days Volunteer Leave - 4 days Military Spouse Time-Off - 80 hours Additional information can be found through the link below. https://www.careers.jnj.com/employee-benefits

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