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Masters In Statistics Jobs in California (NOW HIRING)

Knowledge of statistical analysis tools (Datapower, JMP, Sedana, Excel). Ability to communicate ... Education Requirements Bachelors in Electrical Engineering, Prefer Masters in Electrical ...

Data Engineer

San Jose, CA

$134K - $161K/yr

Perform statistical analysis to prioritize in order to maximize success * Identify areas for ... Masters in related field Additional Information All your information will be kept confidential ...

Masters in Artificial intelligence, Machine Learning, Computer Science, Statistics, Operations Research, Physics, Mechanical Engineering, Electrical Engineering or related field. Proven experience in ...

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

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

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

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

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

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

(USA) Data Scientist III

Hayward, CA · On-site

$117K - $234K/yr

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

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

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 ...

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 ...

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 ...

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 ...

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Showing results 1-20

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 Jun 16, 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.

Is it worth it to get a master's in statistics?

A master's in statistics can enhance job prospects for roles such as data analyst, statistician, or data scientist by providing advanced skills in statistical methods, programming, and data analysis tools like R or Python. It often leads to higher salaries and more specialized positions, but the value depends on career goals and industry demand.

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.

Which MA is most in demand?

A Master’s in Statistics is highly in demand across industries such as finance, healthcare, and technology due to the increasing reliance on data analysis and predictive modeling. Skills in programming languages like R and Python, along with knowledge of machine learning, enhance job prospects in this field.

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 studies, interpreting results, and ensuring data quality, often using tools like R or Python. Their skills remain valuable in developing, validating, and applying AI models effectively.

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:
Infographic showing various Masters In Statistics job openings in California as of June 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.
RF Test Engineer

RF Test Engineer

idexcel

San Diego, CA • On-site

Full-time

Posted 8 days ago


Job description

Job Description

         Knowledge of RF and general lab measurements and strong functional understanding and working knowledge of test equipment (i.e.- power supplies, oscilloscope, spectrum analyzer, power meters, vector network analyzer)

.         Ability to set up and perform lab RF measurements.

         Knowledge of electronic theory with the ability to understand circuit functions with minimal help.

         Ability to work from and understand electrical schematics to debug hardware issues.

         Ability to work from schematics, diagrams, written and verbal descriptions, layouts or defined plans to perform testing, checkout and trouble-shooting functions.

         Solid understanding of RF principles, RF engineering tools and cellular radio building blocks

.         Knowledge of programming languages. (C++/VB preferred).

         Familiar with ATE testers (93k and UFLEX required).

         Familiar with lab equipment (o-scope, power meter, vector network analyzer, spectrum analyzer, signal generator).

         Knowledge of statistical analysis tools (Datapower, JMP, Sedana, Excel).

         Ability to communicate clearly, organize effectively and document work thoroughly.

         Strong written and verbal and interpersonal skills.

         Ability to work under pressure to meet product introduction schedules.

         Education Requirements Bachelors in Electrical Engineering, Prefer Masters in Electrical Engineering. Focus / course work in Radio Frequency design and testing.

Additional Information

Anvesh Reddy

609 269 2719