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Masters Statistics Jobs in California (NOW HIRING)

Masters's Degree in Statistics or Biostatistics is required with at least 5+ years of relevant experience is required. * 3+ years of experience Biostatistician in the Biotech or Pharmaceutical ...

Senior Product Manager (Bangkok-based)

Los Angeles, CA · On-site

$136K - $179K/yr

... • MBA or Master's degree in Math, Economics, Computer Science or Statistics • Data tools - SQL, Python, R, or equivalent Company : Agoda is a digital travel platform that provides access to ...

Finance Manager

Modesto, CA · On-site +1

$124K - $187K/yr

What You'll Need * MBA degree plus 4 years of finance, accounting, audit, military, operations ... OR Bachelor's degree plus 6 years finance, accounting, audit, economics, statistics or mathematics ...

Finance Manager

Modesto, CA · On-site +1

$124K - $187K/yr

What You'll Need * MBA degree plus 4 years of finance, accounting, audit, military, operations ... OR Bachelor's degree plus 6 years finance, accounting, audit, economics, statistics or mathematics ...

Finance Manager

Modesto, CA · On-site

$124K - $187K/yr

What You'll Need * MBA degree plus 4 years of finance, accounting, audit, military, operations ... OR Bachelor's degree plus 6 years finance, accounting, audit, economics, statistics or mathematics ...

Provide Statistical leadership to Virology clinical trials: developing trial design options and ... PhD with 8+ years of industry experience OR Masters degree with 10+ years of experience or ...

Provide Statistical leadership to Virology clinical trials: developing trial design options and ... PhD with 8+ years of industry experience OR Masters degree with 10+ years of experience or ...

Showing results 41-60

Masters Statistics information

See California salary details

$40K

$82.6K

$115.5K

How much do masters statistics jobs pay per year?

As of Aug 22, 2026, the average yearly pay for masters statistics in California is $82,561.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,300.00 and $114,500.00 per year, depending on experience, location, and employer.

What is a masters statistics?

A Masters in Statistics is a graduate-level degree focused on the study of statistical theory, methods, and applications. The program typically covers topics such as probability, data analysis, statistical modeling, and computational statistics. Graduates are prepared for careers in fields like data science, research, finance, government, and healthcare, where analyzing and interpreting data is essential. The degree can also serve as a foundation for further academic research or a PhD in statistics or related disciplines.

What skills and qualifications are needed to thrive as a statistician with a master's degree in statistics?

To thrive as a statistician with a master's in statistics, you need a solid background in statistical theory, data analysis, and quantitative research methods, typically supported by an advanced degree in statistics or a related field. Proficiency in statistical software such as R, SAS, SPSS, or Python, along with experience in data management systems, is commonly required. Strong problem-solving, attention to detail, and effective communication skills help convey complex findings to diverse audiences. These competencies ensure rigorous data-driven decision-making and the ability to translate analytical insights into actionable business or research outcomes.

What types of projects or collaborations can I expect to be involved in as a statistician with a master's degree in statistics?

As a statistician with a master's degree, you can expect to work on a variety of data-driven projects, often collaborating with professionals from fields such as healthcare, finance, technology, or government. Your role may involve designing experiments, analyzing large datasets, and interpreting results to support decision-making. Teamwork is common, as you'll often partner with data scientists, subject matter experts, and managers to ensure analyses are relevant and actionable. This collaborative environment fosters both professional growth and the development of specialized expertise in your chosen industry.

What is the difference between Masters in Statistics vs Data Analyst?

CriteriaMasters in StatisticsData Analyst
Required CredentialsMaster's degree in Statistics or related fieldBachelor's degree often sufficient; some roles prefer a master's
Work EnvironmentResearch, academia, data science teamsBusiness, finance, healthcare, and tech companies
Industry UsageAcademic, research institutions, specialized analytics rolesCorporate settings, data-driven decision making

Masters in Statistics typically involves advanced statistical theory and research, preparing individuals for specialized or academic roles. Data Analysts focus on interpreting data to inform business decisions, often requiring less advanced statistical training. Both roles overlap in data handling but differ in depth of statistical expertise and work context.

Is a master's in statistics a good idea?

A master's in statistics prepares individuals for roles such as data analyst, statistician, or data scientist, often requiring proficiency in programming languages like R or Python and knowledge of statistical methods. It can enhance job prospects and earning potential in data-driven industries, but the value depends on career goals and industry demand.

What can I do with a master's in statistics?

A master's in statistics prepares individuals for roles such as data analyst, statistician, data scientist, or quantitative analyst. These positions involve analyzing data, building models, and interpreting results using tools like R, Python, or SAS, often requiring strong analytical and programming skills.

What cities in California are hiring for Masters Statistics jobs?

Cities in California with the most Masters Statistics job openings:

Infographic showing various Masters Statistics job openings in California as of August 2026, with employment types broken down into 83% Full Time, 15% Part Time, and 2% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $82,561 per year, or $39.7 per hour.

App Store Data Scientist

Apple

Cupertino, CA • On-site

Full-time

Re-posted 21 days ago


Apple rating

8.0

Company rating: 8.0 out of 10

Based on 677 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers


Job description

At Apple, we have phenomenal ideas that have a way of becoming great products, services, and customer experiences! We are seeking a Revenue and Subscriptions Data Scientist to join a team passionate about Data Science & Analytics for Apple Services to support transaction and subscription businesses across App Store, Apple Music, Apple TV+, Apple Arcade, Apple One, and other services!
Description
You will play a key role understanding and optimizing the businesses under Apple Services as a part of the Revenue and Subscriptions Data Science team. As a member of this team, you will help us to grow the financial, transaction, and subscription health of our businesses by sizing, measuring, and recommending impactful initiatives. Responsibilities will include understanding the impact across in-app purchases, subscription renewals, payment authorizations, transaction efficiencies across multiple lines of businesses.
Minimum Qualifications
5+ years of professional experience in data science, machine learning, or digital product analytics
Mastery in SQL-based languages, and proficiency large-scale data languages such as PySpark
Proven record measuring user experience behavior, customer engagement, and business impact using sophisticated and appropriate analytic tools
Strong proponent of experimental test and design, and practical experience with interpreting observational results
Excellent communication and presentation skills with meticulous attention to detail with the ability to communicate effectively between business and analytics teams
Strong verbal and written communication and presentation skills across both technical and non-technical audiences
Bachelors degree in Computer Science, Statistics, Mathematics, Engineering, Economics or related field
Preferred Qualifications
Experience in a digital subscription business or for an e-commerce platform
Masters degree or PhD in Computer Science, Statistics, Mathematics, Engineering, Economics or related field

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Apple logo

About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976