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Global Data Science Jobs (NOW HIRING)

... global data are virtually limitless. You will create insights that influence how we make decisions that have an impact at an unprecedented scale. The Marketing Decision Science team focuses on ...

As the Data Science Team Leader, you will be a critical part of our expanding global data organization. You will remain deeply technical and actively involved in writing code, building models, and ...

S&P Global is dedicated to delivering next-generation technology platforms and is seeking a Data Scientist Leader to oversee the design and operation of analytical and machine-learning systems. The ...

As the Data Science Team Leader, you will be a critical part of our expanding global data organization. You will remain deeply technical and actively involved in writing code, building models, and ...

As the Data Science Team Leader, you will be a critical part of our expanding global data organization. You will remain deeply technical and actively involved in writing code, building models, and ...

As a Data Science Leader, your work will directly influence how knowledge is discovered, understood, trusted, and applied across the global research ecosystem. This is leadership with purpose. This ...

As a Data Science Leader, your work will directly influence how knowledge is discovered, understood, trusted, and applied across the global research ecosystem. This is leadership with purpose. This ...

About S&P Global Market Intelligence At S&P Global Market Intelligence, a division of S&P Global we understand the importance of accurate, deep and insightful information. Our team of experts ...

Vice President, Data Science

Manhattan, NY · On-site

$177K - $350K/yr

About S&P Global Market Intelligence At S&P Global Market Intelligence, a division of S&P Global we understand the importance of accurate, deep and insightful information. Our team of experts ...

Vice President, Data Science

New York, NY · On-site

$177K - $350K/yr

About S&P Global Market Intelligence At S&P Global Market Intelligence, a division of S&P Global we understand the importance of accurate, deep and insightful information. Our team of experts ...

Data Science Engineer

Livermore, CA · On-site

$134K - $161K/yr

S. security and promote global stability. Our mission spans four critical national security areas ... Wehave multiple openings for a Data Science Engineer with a background in applied machine learning ...

Manager Data Science

Philadelphia, PA · On-site

$115K - $192K/yr

As a Data Science Leader, your work will directly influence how knowledge is discovered, understood, trusted, and applied across the global research ecosystem. This is leadership with purpose. This ...

Manager Data Science

Philadelphia, PA · On-site

$115K - $192K/yr

As a Data Science Leader, your work will directly influence how knowledge is discovered, understood, trusted, and applied across the global research ecosystem. This is leadership with purpose. This ...

This is a global effort. Tapestry is proud to support partners in the U.S., U.K., Chile, New ... Data Scientists work across the organization to help shape our business and technical strategies by ...

Vice President, Data Science

New York, NY · On-site

$177K - $350K/yr

About S&P Global Market Intelligence At S&P Global Market Intelligence, a division of S&P Global we understand the importance of accurate, deep and insightful information. Our team of experts ...

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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

Redolent, Inc.

Sunnyvale, CA • On-site

Full-time

Posted 23 days ago


Job description

Description:
What you'll do...
Are you a hardcore numbers person who would enjoy solving some of the business's toughest challenges by illuminating phenomena and opportunities held within one of the world's largest data sets? As a Data Scientist at Walmart, the mammoth scale and volume of our global data are virtually limitless. You will create insights that influence how we make decisions that have an impact at an unprecedented scale.
The Marketing Decision Science team focuses on developing data-driven models and services to bring high-quality demand from offsite digital sites to Walmart E-Commerce sites at low cost in order to sustain and accelerate the growth of Walmart E-Commerce and ultimately cultivate a large loyal base of omnichannel customers who view Wal-Mart as their top choice of retail shopping.
We are a highly motivated group of Big Data Geeks, Machine Learning Scientists, and Applications Engineers, working in a small agile group to solve sophisticated and high-impact problems. We are building smart data systems that ingest, model, and analyze the massive flow of data from online and offline user activity. We use cutting-edge machine learning, data mining, and optimization algorithms on marketing campaign optimization.
You'll make an impact by:
• Process complicated and large-scale datasets using distributed computing platform, extract insights from data, predict future trends, and optimize business metrics.
• Build advanced machine learning and statistical models with various applications in SEM (search engine marketing), including ads performance prediction, bidding optimization, budget management, audience targeting, and measurement.
• Run large-scale statistical A/B testing to evaluate the performance of machine learning and statistical models in SEM applications which drives millions of clicks to Walmart eCommerce per day.
• Build compelling data visualizations and interactive dashboards for monitoring and sharing business insights internally and externally.
You'll sweep us off our feet if...
• You're an inquisitive, out-of-the-box thinker who's continually on the lookout for opportunities to improve and innovate data science solutions
• You have consistently high standards, your passion for quality is inherent in everything that you do
• You have the courage to fail fast
• You have proven ability as a full-stack data scientist who develops, optimizes, and scales models for the production environment
• You connect the how and why using your knowledge of data science theories and methodologies to derive the best approach that is fit-for-purpose
Minimum Qualifications
• Master's degree in Computer Science, Statistics, Optimization or related field plus 2 years' experience in a machine learning related field.
• Strong hands-on skills in sourcing, cleaning, manipulating, and analyzing large volumes of data using distributed computing platforms (Python, R, SQL, Spark, Hive, etc.).
• Experienced with traditional as well as modern machine learning/statistical techniques, including A/B testing, Causal Inference, Regression, Classification, Ensemble Methods, Deep Learning, Natural Language Processing, and Reinforcement Learning.
• Experienced with end-to-end modeling projects emerging from research efforts.
• Strong written and oral communication skills.
Main Area
Core Services Retail and Emerging Tech
SOW ID
WECTQ00004802
Statement of Work
FY23-Microsoft-SEM data Marketing Decision Science MDS-US10321
Site
1 - US - Sunnyvale
Characteristics
SOW Workers
Logged User Name
Changzheng Liu
Location
Spend Type
T&M

Redolent logo

About Redolent

Sourced by ZipRecruiter

Redolent, a dynamic and rapidly expanding company committed to excellence in software solutions, where success is fueled by a combination of technical expertise and efficient management practices. Our solutions create a measurable delta in our clients’ productivity and profitability, contributing to their growth and success.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

San Jose, CA, US

Year founded

2008

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