ZipRecruiter

Log In

1

Global Data Science Jobs (NOW HIRING)

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 ...

The NPD Group, Inc.

Data Scientist

Port Washington, NY · On-site

... 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 ...

Vitol

Software Engineer in Data Science

Houston, TX · 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 ...

Vitol

Software Engineer in Data Science

Houston, TX · 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 ...

Vitol

Software Engineer in Data Science

Houston, TX · 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 ...

Ascot Group

Global Data Delivery Lead

Iselin, NJ · On-site

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 ...

Vitol

Software Engineer in Data Science

Houston, TX · 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 ...

Redolent, Inc.

Data Scientist

Sunnyvale, CA · On-site

... 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 ...

Fanatics Collectibles

Director of Data Science

New York, NY · On-site

$336K - $356K/yr

We ignite the passions of global sports fans and maximize the presence and reach for our hundreds ... Build the data science team and lead in data scientist recruitment process; Guide and coach data ...

bet365

Data Science Team Leader

Denver, CO · On-site

$165K/yr

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 ...

bet365

Data Science Team Leader

Denver, CO · On-site

$165K/yr

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 ...

next page

Showing results 1-20

All JobsGlobal Data Science Jobs

Global Data Science information

See salary details

$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.
Data Scientist

Data Scientist

Ford Motor Company

Dearborn, MI • On-site

Full-time

Medical, Dental, Vision, Life, PTO

Posted 8 days ago

Job description


Do you believe data tells the real story? We do! Redefining mobility requires quality data, metrics and analytics, as well as insightful interpreters and analysts. That's where Global Data Insight & Analytics makes an impact. We advise leadership on business conditions, customer needs and the competitive landscape. With our support, key decision makers can act in meaningful, positive ways. Join us and use your data expertise and analytical skills to drive evidence-based, timely decision making.
The Global Data Insights and Analytics (GDIA) department is looking for qualified individuals who can develop scalable solutions to complex real-world problems using Generative AI, Agentic Workflows, Machine Learning, and Statistics. Our goal is to drive evidence-based decision-making by providing insights from data across various domains, including Connected Vehicle, Smart Mobility, Manufacturing, Supply Chain, and Warranty Analytics.
In this position...
As a Data Scientist, you will play a critical role in leveraging data science to drive significant business impact. You will lead the development of Agentic AI applications and traditional ML models, building intelligent systems that can reason through complex scenarios while also providing predictive and prescriptive insights.
You will be responsible for architecting solutions that are not only intelligent but safe, observable, and robust. You will bridge the gap between modern Large Language Models (LLMs) and traditional statistical techniques, ensuring that AI agents operate within strict guardrails and are backed by rigorous data analysis.
Based in Dearborn, MI, this is a hybrid position with a required four-day onsite presence each week. Relocation assistance may be available for qualified candidates.
Responsibilities
What you'll do...
  • Design and implement supervised and unsupervised machine learning models (e.g., regression, classification, clustering) and statistical experiments to support data-driven decision-making.
  • Develop advanced RAG (Retrieval-Augmented Generation) pipelines and API connectors to ingest and synthesize data from diverse sources, including internal databases, unstructured technical documents, and external third-party data.
  • Implement robust safety layers and input/output validation using specialized frameworks (e.g., Google Model Armor) to prevent hallucinations, ensure data privacy, and maintain compliance.
  • Design and build state-of-the-art AI agents using modern orchestration frameworks (e.g., LangGraph, LangChain, Google ADK) to automate complex reasoning tasks.
  • Build comprehensive monitoring pipelines using advanced evaluation tools (e.g., Arize Phoenix, Langfuse) to trace agent reasoning steps, track token usage, and monitor latency in production.
  • Adopt rigorous evaluation frameworks (e.g., Ragas, GenAI Evaluation Service) to measure performance. Stay updated on research papers and cutting-edge algorithms in both the GenAI and ML domains.
  • Develop and deploy AI solutions exclusively within the Cloud Platform preferable GCP (AWS/Azure) ecosystem, utilizing Vertex AI, Cloud Run, and BigQuery.

Qualifications
You'll have...
  • Bachelor's degree in a quantitative field (e.g., Computer Science, AI, Statistics, Mathematics, or Engineering) or equivalent combination of relevant education and experience.
  • 3 + years of professional experience in Data Science, with a strong dual focus on Generative AI/LLM applications and traditional Machine Learning.
  • 2+ years of hands-on experience with supervised/unsupervised learning and statistical modeling.
  • 1+ years of experience building Agentic workflows (reasoning loops, tool use/function calling) rather than simple chatbots.
  • 1+ years of experience with the GCP stack for AI/Data (Vertex AI, BigQuery).

Even better, you may have...
  • Master's or PhD in a quantitative field (e.g., Computer Science, AI, Statistics, Mathematics, or Engineering).
  • Technical skills including:
    • Advanced proficiency in Python libraries such as Scikit-learn, NumPy, Pandas, Matplotlib, TensorFlow, or PyTorch.
    • Skilled in integrating diverse data sources via SQL, Vector Databases, and APIs. Experience with data augmentation and efficient loading techniques.
    • Expert proficiency in Python for building autonomous agents and model interaction (e.g., LangGraph, LangChain, Google ADK).
    • Proficiency in observability frameworks, guardrail implementation, and the Model Context Protocol (MCP).
    • Deep experience with GCP services, specifically Vertex AI, Cloud Run, and BigQuery for deploying scalable AI solutions.
  • Functional Skills including:
    • Ability to decompose complex business challenges into executable AI agent workflows and technical specifications.
    • Excellent verbal and written communication skills, with a demonstrated ability to translate complex technical information into simple, understandable language for non-technical audiences.
    • Strong skills in building relationships and collaborating effectively with stakeholders to contribute to data-driven decision-making.
    • Highly effective in working with other technical experts, Software Engineers. Product Managers, Data Engineers, and business stakeholders

You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!
As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder...or all of the above? No matter what you choose, we offer a work life that works for you, including:
  • Immediate medical, dental, vision and prescription drug coverage
  • Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up childcare and more
  • Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more
  • Vehicle discount program for employees and family members and management leases
  • Tuition assistance
  • Established and active employee resource groups
  • Paid time off for individual and team community service
  • A generous schedule of paid holidays, including the week between Christmas and New Year's Day
  • Paid time off and the option to purchase additional vacation time

This position is a salary grade of 7 or 8 and ranges from $99,600- 192,900.
Final determination of salary grade will be based on candidate's skills and experience, and base salary will be set within the applicable range according to job scope, responsibility and competitive market value.
For more information on salary and benefits, click here:
https://fordcareers.co/GSR
Visa sponsorship is not available for this position.
Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.
We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. In the United States, if you need a reasonable accommodation for the online application process due to a disability, please call 1-888-336-0660.
#LI-Hybrid
#LI-LA1
Ford logo

About Ford

Sourced by ZipRecruiter

At Ford Motor Company, we believe freedom of movement drives human progress. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career and help us define tomorrow's transportation.

Industry

Civil engineering construction

Company size

51 - 200 Employees

Headquarters location

Doral, FL, US

Year founded

1982

View All Ford Jobs

Apply