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Masters Data Science Jobs in Berkeley, CA (NOW HIRING)

Masters, MBA, JD, MD). * Experience in developing advanced data science models. * Experience in leading data science teams. * Experience in multiple programming languages (e.g., Python, R, Spark)

Masters, MBA, JD, MD) or 3 or more years of experience with a PhD * 6+ years of analytics, data science, or related experience with a Bachelor's degree; 4+ years with a Master's/MBA; or 3+ years with ...

And because it's Visa, our data scientists have access to a treasure trove of structured and un ... Masters, MBA, JD, MD) or 2 years of work experience with a PhD, OR 11+ years of relevant work ...

We are seeking a Data Science Director IC who is passionate about developing, measuring, and ... Masters or Ph.D. Degree in a quantitative field * Experience with predictive modeling, machine ...

And because it's Visa, our data scientists have access to a treasure trove of structured and un ... Masters, MBA, JD, MD) or 2 years of work experience with a PhD, OR 11+ years of relevant work ...

Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

... Computer Science, Math/Statistics, Economics, Physics. MBA or a master's degree or equivalent ... Experience in Data Visualization tools, preferably, Tableau and Power BI * A fast learner with ...

The Opportunity Adobe is looking for a Senior Manager, GTM Data Science to lead customer and ... An MBA or equivalent experience is a plus. Why Adobe? At Adobe, you'll lead a team that directly ...

Masters degree in Data Analytics, Data Science, Computer Science or related technical subject area * Demonstrated experience developing models at production scale for NFL, CFB, or sports betting for ...

Masters degree in Data Analytics, Data Science, Computer Science or related technical subject area * Demonstrated experience developing models at production scale for Soccer , or sports betting for ...

Masters degree in Data Analytics, Data Science, Computer Science or related technical subject area * Demonstrated experience developing models at production scale for NFL, CFB, or sports betting for ...

Masters degree in Data Analytics, Data Science, Computer Science or related technical subject area * Demonstrated experience developing models at production scale for Soccer , or sports betting for ...

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Masters Data Science information

What is the difference between Masters Data Science vs Data Analyst?

CriteriaMasters Data ScienceData Analyst
Required CredentialsMaster's degree in Data Science, Computer Science, or related fieldBachelor's degree in Statistics, Mathematics, or related field
Work EnvironmentResearch-focused, developing models, algorithms, and advanced analyticsData cleaning, reporting, and visualization for business insights
Employer & Industry UsageTech companies, research institutions, large enterprisesBusiness, finance, marketing, healthcare sectors
Common Search & Comparison IntentUnderstanding advanced data roles, qualifications, and skillsEntry-level data roles, daily tasks, and career path

Masters Data Science professionals typically have advanced degrees and focus on developing complex models and algorithms, often in research or technical environments. Data Analysts usually hold bachelor's degrees and concentrate on interpreting data, creating reports, and supporting business decisions. Both roles are essential in data-driven industries but differ in scope, skills, and responsibilities.

Is a master's in data science worth it?

A master's in data science can enhance job prospects for data scientists by providing advanced skills in programming, statistics, and machine learning, which are highly valued in the field. It often leads to higher salaries and more senior roles, but practical experience and certifications like Python or R are also important for success.

What can I do with a master's in data science?

A master's in data science prepares individuals for roles such as data scientist, data analyst, machine learning engineer, or data engineer. These roles involve analyzing large datasets, developing predictive models, and using tools like Python, R, and SQL to support decision-making across various industries.

Where can I work with a master's in data science?

A master's in data science qualifies individuals for roles such as data scientist, data analyst, machine learning engineer, and data engineer across various industries including technology, finance, healthcare, and consulting. These positions often require skills in programming, statistical analysis, and data visualization, and are available in both corporate and research environments.

What cities near Berkeley, CA are hiring for Masters Data Science jobs?

Cities near Berkeley, CA with the most Masters Data Science job openings:

Infographic showing various Masters Data Science job openings in Berkeley, CA as of September 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% In-person job distribution.

Data Scientist

Foster City, CA • On-site

Visa
Finance and Insurance • 10K+ employees

$137K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Visa rating

8.3

Company rating: 8.3 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

6th of 21 rated payment service providers


Job description

About Us
Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.

At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world.

Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you.

Job Description

Role Summary:
The Data Scientist at the Analyst / Team Lead level is responsible for solving complex business problems using advanced data science techniques, AI/ML models, and data-driven frameworks. This role develops and executes a vision for data science capabilities, leading the design and development of large-scale systems and fostering innovation within the team. The Data Scientist collaborates closely with cross-functional teams to integrate data science solutions, communicates technical concepts to stakeholders, and influences business decisions with actionable insights.
All roles require digital fluency, including the ability to work with emerging technologies such as Generative AI tools (e.g. ChatGPT, Microsoft Copilot) to support everyday work.
Key Responsibilities:

  • Solve complex business problems using advanced data science techniques, AI/ML models, and frameworks.

  • Strong expertise in machine learning and deep learning techniques, including MLPs, large language models, and transformer-based architectures, with demonstrated experience building and deploying such models.

  • Develop and execute a vision for data science capabilities aligned with business goals.

  • Lead the design and development of large-scale data science systems and foster innovation within the team.

  • Apply advanced data science techniques and models to drive business impact and stay up-to-date with industry trends.

  • Collaborate with cross-functional teams to integrate data science capabilities and communicate complex technical concepts to stakeholders.

  • Develop and maintain expertise in multiple programming languages and data science tools.

  • Identify opportunities for data science to drive business impact and present results to senior leadership and business partners.

Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager.

Qualifications

Basic Qualifications:

  • 2 or more years of work experience with a bachelor's degree or an Advanced Degree (e.g. Masters, MBA, JD, MD, or PhD).


Preferred Qualifications:

  • 3 or more years of work experience with a bachelor's degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD).

  • Experience in developing advanced data science models.

  • Experience in leading data science teams.

  • Experience in multiple programming languages (e.g., Python, R, Spark).

  • Experience with data science tools and technologies (e.g., TensorFlow, PyTorch, scikit-learn).

  • Experience working with real-world data sets and building scalable models from large-scale data.

  • Experience working with cross-functional teams (e.g., product, engineering, marketing).

  • Experience in project management and meeting deadlines in a fast-moving environment.

  • Experience coaching, leading, and providing direction to a technical data science team.

  • Experience working in global organizations and collaborating with stakeholders and development teams across regions.

  • Experience in deep learning, machine learning, recommendation systems, generative models, and statistical analyses.

  • Experience working with global organizations and roles requiring collaboration with stakeholders and partners worldwide.

  • Previous exposure to financial services or payments industry.



Information for US Applicants

For roles located in the US, the estimated salary range for this position is $137,400.00 to $ 212,500.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.

Work Hours

Varies upon the needs of the department.

Travel Requirements

This position requires travel 5-10% of the time.

Mental/Physical Requirements

This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers.

Visa is an EEO Employer

Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.

What Visa employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Visa logo

About Visa

Sourced by ZipRecruiter

Visa is a global leader in digital payments, facilitating over 215 billion transactions annually across more than 200 countries and territories. Our mission is to connect the world through an innovative, reliable, and secure payments network, empowering individuals, businesses, and economies to thrive. When you become a part of Visa, you join a purpose-driven culture that values growth, embraces diversity, and recognizes the significance of your contributions. We believe in creating inclusive economies that uplift everyone, everywhere. Your work at Visa will directly impact billions of people worldwide, enabling access to financial services and shaping the future of money movement.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

San Francisco, CA, US

Year founded

1958