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Masters Data Science Jobs in California (NOW HIRING)

... 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 ...

... 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 ...

... 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 ...

Senior Manager, GTM Data Science

San Jose, CA · On-site

$148K - $195K/yr

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 ...

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 ...

Citizenship with an active or interim Secret clearance • Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or related field (Masters preferred) • 10+ years of ...

Bachelor's degree in Computer Science, Data Science, Statistics, Engineering or a related quantitative field required. (Masters in related field preferred) * 5+ years equivalent experience in ...

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 or PhD in Computer Science, Statistics, Mathematics, Engineering, Economics or related field Minimum Qualifications 5+ years of professional experience in data science, machine ...

Showing results 41-60

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 in California are hiring for Masters Data Science jobs?

Cities in California with the most Masters Data Science job openings:

Infographic showing various Masters Data Science job openings in California as of September 2026, with employment types broken down into 100% Full Time. Highlights an 75% In-person, and 25% Remote job distribution.

Current Master's - Data Science Internship - Summer 2027

San Francisco, CA

Capital One
Funds, Trusts and Financial Programs • 10K+ employees

Full-time

Re-posted 20 days ago


Key responsibilities

  • Evaluate open-source and internally-developed modeling and analytics tools using real business data

  • Integrate internal data with external data sources and APIs to discover and implement actionable insights

  • Design and craft data science models to communicate solutions to customers and company leadership


Capital One rating

7.8

Company rating: 7.8 out of 10

Based on 148 frontline employees who took The Breakroom Quiz

90th of 176 rated banks


Job description

Current Master's - Data Science Internship - Summer 2027

Key Role Details

  • This is a full-time paid internship program spanning ten weeks from June through August 2027.

  • Participation in the internship requires that you are located in the continental United States with in-person attendance at your assigned location, in accordance with Capital One's hybrid working model, for the duration of the program.

  • Interns will be evaluated for a full-time position with their team and will work with their manager on identifying a start date upon graduation.

This is a paid internship. This is a limited-time internship position, and Capital One will not sponsor a new applicant for employment authorization for this position. However, a full-time Data Science role, for which you may be considered upon completion of the internship (subject to business need, market conditions, and other factors) is eligible for employer immigration sponsorship.

Basic Qualifications

  • Currently pursuing one of the following with an expectation that the required degree will be obtained by August 2028 or earlier:

    • A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration

  • Must be continuing in the same course of study of your Master's degree following completion of the internship

  • At least 6 months of experience or academic work using open source programming languages for data analysis

  • At least 6 months of experience or academic work using machine learning techniques

Preferred Qualifications:

  • Direct experience with either Python, R or SQL

  • Experience or academic work in inferential statistics

  • Experience or academic work with relational databases

  • Experience or academic work with large scale data analysis

Data Science Internship - 2027

As a Data Scientist at Capital One, you'll be part of a high-performing team that's embracing the latest in computing technologies to unlock opportunities that help everyday people save money and improve their financial lives. You'll help our customers solve their financial services challenges by using groundbreaking techniques. You'll make valuable contributions from day one by continuously learning, engaging in diverse sets of experiences, and building close-knit relationships across the company. Role / team focus areas could include supporting machine learning, deep learning, or quant initiatives across the enterprise.

On any given day, you might:

  • Evaluate open-source and internally-developed modeling and analytics tools using real business data

  • Integrate internal data with external data sources and APIs to discover and implement actionable insights

  • Design and craft data science models to communicate solutions to customers and company leadership

We'd love to find someone who is...

  • Intellectually curious. You ask why, you explore, and you are excited to imagine and create new ideas by inventing self-adaptive models or by tapping into unstructured data sources. You love mining data for insights into behaviors, intent and sentiment.

  • A builder. You are passionate about delivering better experiences and better products to our customers and have a deep sense of ownership for your craft.

  • An experimental scientist. You love putting on your lab coat and trying new things, new combinations of tools, techniques and feature engineering approaches even if you sometimes fail.

  • A Communicator. You seek to connect with teammates and business partners to share technical ideas that resonate with audience needs across verbal and written channels.

Are you ready to join a community of talented individuals who embrace customer problems and use their passion and capabilities to make a difference every single day? If you're interested in a long-term career at Capital One, the Data Science internship could be a great way to begin your career journey!

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

Cambridge, MA: $147,000 - $147,000 for Data Science Intern


Chicago, IL: $134,000 - $134,000 for Data Science Intern


McLean, VA: $147,000 - $147,000 for Data Science Intern


New York, NY: $161,000 - $161,000 for Data Science Intern


Plano, TX: $134,000 - $134,000 for Data Science Intern


Richmond, VA: $134,000 - $134,000 for Data Science Intern


San Francisco, CA: $161,000 - $161,000 for Data Science Intern


San Jose, CA: $161,000 - $161,000 for Data Science Intern




Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).


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