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Applied Statistics Jobs in California (NOW HIRING)

Fabergent

Sr Data Scientist

San Ramon, CA · On-site

Advanced degree in Applied Statistics, Economics, Computer Science, or Operations Research (Master's degree required). 1+ years experience in advanced analytics, model building, statistical modeling ...

KLA Corporation

Staff Statistician

Milpitas, CA · On-site

D. in Statistics, Applied Mathematics, Industrial Engineering, or a related quantitative field. * Minimum 5 years of experience in a statistician or closely related role, preferably in a ...

KLA Corporation

Staff Statistician

Milpitas, CA

D. in Statistics, Applied Mathematics, Industrial Engineering, or a related quantitative field. * Minimum 5 years of experience in a statistician or closely related role, preferably in a ...

Orbotech

Staff Statistician

Milpitas, CA

D. in Statistics, Applied Mathematics, Industrial Engineering, or a related quantitative field. * Minimum 5 years of experience in a statistician or closely related role, preferably in a ...

InMobi

Applied Scientist III

San Mateo, CA

We are looking for an Applied Scientist III to join our algorithmic and research science team. You ... Statistical learning theory, optimization, probability theory, and information theory * Causal ...

Hireblazer

Senior Data Scientist

Irvine, CA · On-site

D. degree in Computer Science, Applied Mathematics, (Bio) Statistics, Applied Statistics, Economics, or similar quantitative fields. Experience developing and deploying models related to recommender ...

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All JobsApplied Statistics JobsApplied Statistics Jobs in California

Applied Statistics information

See California salary details

$40K

$82.6K

$115.5K

How much do applied statistics jobs pay per year?

As of Aug 17, 2026, the average yearly pay for applied 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 an applied statistics?

An Applied Statistics job involves using statistical methods and data analysis techniques to solve real-world problems across various industries. Professionals in this field apply mathematical models, statistical software, and analytical reasoning to interpret data, make informed decisions, and optimize processes. They often work in sectors like healthcare, finance, marketing, and technology, providing insights and recommendations based on data trends.

What does an applied statistics do?

Professionals in Applied Statistics can expect to work on projects involving data collection, cleaning, statistical modeling, and interpretation of results for practical applications in fields like healthcare, finance, marketing, or engineering. Daily responsibilities may include designing experiments or surveys, performing hypothesis testing, and creating actionable reports or presentations for non-technical audiences. Collaboration with multidisciplinary teams—such as data scientists, subject matter experts, and business leaders—is common to ensure data-driven solutions align with organizational goals. This diversity of tasks provides valuable learning experiences and opportunities for career growth into roles such as senior analyst, data scientist, or statistical consultant.

What are the key skills and qualifications needed to thrive in applied statistics?

To thrive in Applied Statistics, you need a solid background in statistical theory, data analysis, and mathematical modeling, typically with a degree in statistics, mathematics, or a related field. Familiarity with statistical software such as R, SAS, Python, or SPSS, and often certifications in analytics or data science, is important. Strong analytical thinking, effective communication, and problem-solving abilities help set candidates apart. These skills ensure accurate analysis of complex data, meaningful interpretation for stakeholders, and valuable contributions to evidence-based decision making.

Is applied statistics a good career?

Applied statistics is a strong career choice for those interested in data analysis, modeling, and decision-making, often requiring skills in programming languages like R or Python. It offers diverse opportunities across industries such as healthcare, finance, and technology, with competitive salaries and growth potential. Success typically depends on strong analytical skills, statistical knowledge, and the ability to communicate findings effectively.

What can you do with an applied statistics degree?

An applied statistics degree prepares individuals for roles such as data analyst, statistician, or data scientist, involving data collection, analysis, and interpretation using tools like R or Python. Graduates can work in industries like healthcare, finance, marketing, or technology, often requiring strong analytical skills and knowledge of statistical methods. Certifications in data analysis or machine learning can enhance job prospects.

What are the most commonly searched types of Applied Statistics jobs in California?

The most popular types of Applied Statistics jobs in California are:

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

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

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

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

What cities in California are hiring for Applied Statistics jobs?

Cities in California with the most Applied Statistics job openings:

Applied Statistics jobs near you
Infographic showing various Applied Statistics job openings in California as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 22% Part Time, 2% Temporary, and 2% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $82,561 per year, or $39.7 per hour.

Sr Data Scientist

Fabergent

San Ramon, CA • On-site

Full-time

Re-posted 24 days ago

Job description

Job Description

Our client is looking for a senior data scientist for our first-of-its-kind sales analytics platform, which combines a proprietary, active-learning network with applications that are ready to use, data backed, and built on predictive analyses.

Our ideal candidate will have a strong computational background (complimented by Statistics/Math/Algorithmic expertise), a healthy portfolio of dealing with Big Data, a passion for empirical research, a solid understanding of machine learning algorithms, and will absolutely love finding meaning in multiple imperfect, mixed, varied, and inconsistent data sets.

You must be a team player who will thrive in a collaborative environment, and you must be driven to create innovative, world-class products and get them to market.

Advanced degree in Applied Statistics, Economics, Computer Science, or Operations Research (Master's degree required).

1+ years experience in advanced analytics, model building, statistical modeling, optimization, and machine learning algorithms including supervised and unsupervised learning, boosting and ensemble methods.

Ability to aggregate, normalize and process data by authoring predictive algorithms to synthesize and present actionable data insights.

Technical mastery in one or more of the following languages/tools to wrangle and understand data: Python (NumPy, SciPy, scikit-learn), R, Matlab, Spotfire, Tableau.

Experience with data manipulation and analysis using SQL, noSQL, Java, C, SAS, and machine learning suites such as Mahout, Weka, and RapidMiner.

Experience with cloud computing and Hadoop (MapReduce, PIG, HIVE)

Experience with third-party API integration.

Qualifications

Advanced degree in Applied Statistics, Economics, Computer Science, or Operations Research (Master's degree required).

1+ years experience in advanced analytics, model building, statistical modeling, optimization, and machine learning algorithms including supervised and unsupervised learning, boosting and ensemble methods.

Additional Information

All your information will be kept confidential according to EEO guidelines.

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