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Masters In Statistics Jobs in California (NOW HIRING)

Walmart

(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 ...

Walmart

(USA) Staff, Data Scientist

Mountain View, 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 ...

Walmart

(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 ...

Walmart

(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 ...

Walmart

(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 ...

Walmart

(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 ...

Walmart

(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 ...

Walmart

(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 ...

Walmart

(USA) Principal, 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 3 years' experience in an analytics related field. Option 3: 7 ...

Walmart

(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 ...

Walmart

(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 ...

Walmart

(USA) Principal, 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 3 years' experience in an analytics related field. Option 3: 7 ...

Walmart

(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 ...

Walmart

(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 ...

Walmart

(USA) Principal, Data Scientist

Mountain View, CA · On-site

$143K - $286K/yr

Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 3 years' experience in an analytics related field. Option 3: 7 ...

Walmart

(USA) Principal, 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 3 years' experience in an analytics related field. Option 3: 7 ...

Walmart

(USA) Staff, Data Scientist

Mountain View, 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 ...

Walmart

(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 ...

Walmart

(USA) Principal, 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 3 years' experience in an analytics related field. Option 3: 7 ...

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Showing results 1-20

All JobsMasters In Statistics JobsMasters In Statistics Jobs in California

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 Jul 23, 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 jobs make $1,000,000 a year?

In the field of statistics, high-paying roles such as chief data officers, senior quantitative analysts, or data science executives can reach or exceed $1 million annually, especially in large corporations or financial firms. These positions typically require extensive experience, advanced skills in data modeling, and leadership responsibilities, often supplemented by bonuses and stock options.

Is a master's degree in statistics worth it?

A master's in statistics can enhance job prospects in data analysis, data science, and related fields, often leading to higher salaries and advanced roles. It provides skills in statistical software, programming, and data interpretation that are highly valued by employers. However, the value depends on career goals and industry demand for advanced quantitative expertise.

Are statisticians highly paid?

Statisticians with a master's in statistics often earn higher salaries than those with only a bachelor's degree, with median annual wages typically above the national average for all occupations. Salaries vary based on experience, industry, and location, but advanced skills in data analysis, programming, and statistical software can lead to higher compensation.

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.

Is AI replacing statisticians?

AI is transforming the role of statisticians by automating data analysis tasks and enabling more complex modeling, but it does not replace the need for statistical expertise. Statisticians are essential for designing experiments, interpreting results, and ensuring data quality, often using tools like R or Python. Their skills remain valuable in developing, validating, and applying AI models across various industries.

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.

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:
Masters In Statistics jobs near you
Infographic showing various Masters In Statistics job openings in California as of July 2026, with employment types broken down into 83% Full Time, and 17% Part Time. Highlights an 100% In-person job distribution, with an average salary of $82,561 per year, or $39.7 per hour.
Machine Learning Engineer- Gen AI

Machine Learning Engineer- Gen AI

Apple

Cupertino, CA • On-site

Full-time

Posted 12 days ago

Apple rating

8.0

Company rating: 8.0 out of 10

Based on 673 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers

Job description

Product Operations partners with a variety of different engineering and operations teams, our team leads development of machine learning solutions. We deliver projects from end-to-end: problem statement and conceptualization, proof-of-concept, and participation in final deployment! You will also perform ad-hoc statistical analyses.
You will also work closely with data engineers to generate detailed business intelligence solutions. You will be expected to conduct presentations of analyses to a wide range of audiences including executives.
Description
Product Operations partners with a variety of different engineering and operations teams, our team leads development of machine learning solutions. We deliver projects from end-to-end: problem statement and conceptualization, proof-of-concept, and participation in final deployment!
You will also perform ad-hoc statistical analyses. You will also work closely with data engineers to generate detailed business intelligence solutions. You will be expected to conduct presentations of analyses to a wide range of audiences including executives.
Minimum Qualifications
3+ years experience in GenAI applications, machine learning algorithms, software engineering, and data mining models with an emphasis on large language models (LLM) or large multimodal models (LMM).
Masters in Artificial intelligence, Machine Learning, Computer Science, Statistics, Operations Research, Physics, Mechanical Engineering, Electrical Engineering or related field.
Preferred Qualifications
Proven experience in GenAI application building with agents and agentic workflows. Experience with LLM and LMM development and fine-tuning is a major plus.
Proficiency in using cutting-edge GenAI tools, i.e. Claude Code, Roo Code, etc.
Familiarity with distributed computing, cloud infrastructure, and orchestration tools, such as Kubernetes, Apache Airflow (DAG), Docker, Conductor, Ray for LLM training and inference at scale is a plus.
Hands-on experience with LangChain and LlamaIndex, enabling RAG applications and LLM orchestration.
Ability to meaningfully present results of analyses in a clear and impactful manner, breaking down complex ML/LLM concepts for non-technical audiences.
Experience applying ML techniques in manufacturing, testing, or hardware optimization is a major plus.
Proven experience in leading and mentoring teams is a plus.

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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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

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