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Masters In Statistics Jobs in California (NOW HIRING)

Staff, Data Scientist

Sunnyvale, CA · On-site

$132K - $264K/yr

Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field. Option 3: 6 ...

Staff, Data Scientist

Cupertino, CA · On-site

$132K - $264K/yr

Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field. Option 3: 6 ...

Staff, Data Scientist

Mountain View, CA · On-site

$132K - $264K/yr

Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field. Option 3: 6 ...

(USA) Staff, Data Scientist

Milpitas, CA · On-site

$143K - $286K/yr

Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field. Option 3: 6 ...

(USA) Staff, Data Scientist

Hayward, CA · On-site

$143K - $286K/yr

Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field. Option 3: 6 ...

(USA) Staff, Data Scientist

San Jose, CA · On-site

$143K - $286K/yr

Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field. Option 3: 6 ...

Staff, Data Scientist

Milpitas, CA · On-site

$132K - $264K/yr

Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field. Option 3: 6 ...

Staff, Data Scientist

Fremont, CA · On-site

$132K - $264K/yr

Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field. Option 3: 6 ...

(USA) Staff, Data Scientist

San Mateo, CA · On-site

$143K - $286K/yr

Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field. Option 3: 6 ...

Staff, Data Scientist

Hayward, CA · On-site

$132K - $264K/yr

Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field. Option 3: 6 ...

Staff, Data Scientist

San Jose, CA · On-site

$132K - $264K/yr

Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field. Option 3: 6 ...

(USA) Staff, Data Scientist

Fremont, CA · On-site

$143K - $286K/yr

Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field. Option 3: 6 ...

Staff, Data Scientist

San Mateo, CA · On-site

$132K - $264K/yr

Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field. Option 3: 6 ...

(USA) Staff, Data Scientist

Sunnyvale, CA · On-site

$143K - $286K/yr

Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field. Option 3: 6 ...

Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field. Option 3: 6 ...

(USA) Staff, Data Scientist

Cupertino, CA · On-site

$143K - $286K/yr

Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field. Option 3: 6 ...

PhD or Masters in a quantitative discipline: Computer Science, Statistics, Applied Mathematics, Operations Research, Engineering * Working knowledge of health care systems and healthcare terminology

Showing results 41-60

Masters In Statistics information

See California salary details

$40K

$82.6K

$115.5K

How much do masters in statistics jobs pay per year?

As of Sep 4, 2026, the average yearly pay for masters in 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 can you do with a master's in statistics?

A Master's in Statistics opens up a wide range of career opportunities in various industries, including healthcare, finance, government, technology, and research. Graduates often work as data analysts, statisticians, biostatisticians, data scientists, or research scientists. They are responsible for collecting, analyzing, and interpreting data to help organizations make informed decisions. This degree also provides a strong foundation for pursuing doctoral studies or specialized roles in academia and industry.

What types of roles and industries typically hire professionals with a master's in statistics, and how do these roles differ in daily responsibilities?

A Master's in Statistics opens doors to a variety of roles across industries such as healthcare, finance, technology, government, and research institutions. For example, statisticians in healthcare may focus on designing clinical trials and analyzing patient outcomes, while those in finance might develop risk models or forecast market trends. In tech, statisticians often collaborate with data scientists and engineers to optimize algorithms or interpret large data sets. Daily responsibilities can range from data cleaning and analysis to presenting findings and advising stakeholders, with collaboration and communication being key across all sectors.

What are the key skills and qualifications needed to thrive as a statistician, and why are they important?

To thrive as a Statistician, you need strong quantitative analysis skills, a solid foundation in probability and statistical theory, and typically a master's degree in statistics or a related field. Familiarity with statistical software such as R, SAS, or Python, and experience with data management systems are common technical requirements. Excellent problem-solving abilities, attention to detail, and clear communication skills help statisticians interpret data and explain results to non-experts. These skills are vital for providing accurate analyses that inform decision-making and drive research or business strategies.

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

AspectMasters In StatisticsData Analyst
Required CredentialsMaster's degree in Statistics or related fieldBachelor's or Master's degree in related fields like Business, Economics, or Computer Science
Work EnvironmentResearch, academia, data science teams in various industriesBusiness, finance, marketing departments, often in corporate settings
Industry UsageUsed in research, academia, specialized data science rolesApplied in business decision-making, reporting, and operational analysis

Masters In Statistics and Data Analyst roles share overlapping skills in data handling and analysis. However, a Masters In Statistics typically involves advanced statistical theory and research, preparing individuals for specialized or academic roles. Data Analysts focus on applying data skills to solve business problems, often with less emphasis on theoretical research. Both roles are vital in data-driven industries, but their focus and career paths differ.

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 in industries like finance, healthcare, and technology, where data-driven decision making is valued.

What is the highest paying job in statistics?

The highest paying jobs in statistics are often roles like Chief Data Officer, Quantitative Research Director, or Data Science Director, which typically require extensive experience, advanced skills in programming and analytics, and leadership responsibilities. These positions can offer salaries exceeding $150,000 annually, especially in finance, technology, and consulting industries.

What are popular job titles related to Masters In Statistics jobs in California?

For Masters In Statistics jobs in California, the most frequently searched job titles are:

What job categories do people searching Masters In Statistics jobs in California look for?

The top searched job categories for Masters In Statistics jobs in California are:

What cities in California are hiring for Masters In Statistics jobs?

Cities in California with the most Masters In Statistics job openings:

Infographic showing various Masters In Statistics job openings in California as of August 2026, with employment types broken down into 82% Full Time, 17% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $82,561 per year, or $39.7 per hour.

Staff, Data Scientist

Walmart

Sunnyvale, CA • On-site

$132K - $264K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 21 days ago


Walmart rating

6.0

Company rating: 6.0 out of 10

Based on 22,601 frontline employees who took The Breakroom Quiz

25th of 39 rated national retailers


Job description

Position Summary... What you'll do...
We are seeking a Staff Data Scientist with a strong foundation in machine learning, information retrieval, and LLMs. The selected candidate will be responsible for architecting and developing new Machine Learning models to enhance Customer Intelligence and Segmentation landscape within Walmart. This is an exciting opportunity for a creative and innovative professional who thrives in a fast-paced, results-driven environment.
Experience building machine learning, Deep Learning models, GenAI applications and deploying to production grade platforms
Hiring Requirements
Job Details
  • Develop generative AI LLM-based applications, , multi-agent workflows, machine learning algorithms and computational algorithms based on business initiatives.
  • Direct the gathering of data, assessing data validity and synthesizing data into large analytics datasets to support project goals.
  • Utilize big data analytics and advanced data science techniques to identify trends, patterns, and discrepancies in data. Determine additional data needed to support insights.
  • Build and train statistical models and machine learning algorithms for replication for future projects.
  • Develop custom models and algorithms to drive business solutions, and scale them to large data sets.

What you'll bring:
Our team is part of the Data Science Center of Excellence for Customer Data and Identity to build AI Insights and strategic decision-making through cutting-edge data-driven solutions. We specialize in a range of Customer data initiatives building Machine Learning, Deep Learning models, and leveraging Generative AI (GenAI) to produce concise, insightful summaries that empower decision-makers. By integrating these innovative approaches, we strive to drive efficiency, accuracy, and impactful outcomes in financial operations.
  • Experience with Large Language Models (LLMs).
  • 5-7 years of experience as technical on-hands data scientist building and deploying solutions.
  • Solid understanding of Machine Learning models including Logistic Regression, Support Vector Machine, Random Forest, Gradient Boosting Decision and Deep Neural Networks.
  • Familiarity with Deep Learning frameworks including Tensorflow and Pytorch.
  • Experience with Cloud technology including GCP, AWS, and Azure.
  • Proficient in Java and Python.
At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more. You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. For information about PTO, see https://one.walmart.com/notices. Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.
For information about benefits and eligibility, see One.Walmart.
Hoboken, New Jersey US-10279: The annual salary range for this position is $132,000.00 - $264,000.00
San Bruno, California US-08848 | Sunnyvale, California US-11789: The annual salary range for this position is $143,000.00 - $286,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :
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Minimum Qualifications...

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field. Option 3: 6 years' experience in an analytics or related field Preferred Qualifications...

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch), We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture. Primary Location... 221 River St, Hoboken, NJ 07030, United States of America Walmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.

What Walmart employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


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About Walmart

Sourced by ZipRecruiter

From our humble beginnings as a small discount retailer in Rogers, Ark., Walmart has opened thousands of stores in the U.S. and expanded internationally. Through innovation, we're creating a seamless experience to let customers shop anytime and anywhere online and in stores. We are creating opportunities and bringing value to customers and communities around the globe. Walmart operates approximately 10,500 stores and clubs in 19 countries and eCommerce websites. We employ 2.1 million associates around the world — nearly 1.6 million in the U.S. alone.

Industry

Retail and transportation and warehousing

Company size

10,000+ Employees

Headquarters location

Bentonville, AR, US

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