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Statistical Modeling Jobs in California (NOW HIRING)

Ra

Marketing Analytics Senior Manager

San Jose, CA

Who is proficient in SAS or other statistical modeling tools. Who enjoys traveling, because this role involves traveling (80% to 100%). Who is proficient in Applied Statistics/Econometrics ...

Ra

Marketing Analytics Manager

El Segundo, CA

Who is proficient in SAS or other statistical modeling tools. Who enjoys traveling, because this role involves traveling (80% to 100%). Who is proficient in Applied Statistics/Econometrics ...

Ra

Marketing Analytics Manager

San Jose, CA

Who is proficient in SAS or other statistical modeling tools. Who enjoys traveling, because this role involves traveling (80% to 100%). Who is proficient in Applied Statistics/Econometrics ...

Ra

Marketing Analytics Senior Manager

Orange, CA

Who is proficient in SAS or other statistical modeling tools. Who enjoys traveling, because this role involves traveling (80% to 100%). Who is proficient in Applied Statistics/Econometrics ...

Ra

Marketing Analytics Manager

San Francisco, CA

Who is proficient in SAS or other statistical modeling tools. Who enjoys traveling, because this role involves traveling (80% to 100%). Who is proficient in Applied Statistics/Econometrics ...

Ra

Marketing Analytics Manager

Sacramento, CA

Who is proficient in SAS or other statistical modeling tools. Who enjoys traveling, because this role involves traveling (80% to 100%). Who is proficient in Applied Statistics/Econometrics ...

Ra

Marketing Analytics Manager

San Diego, CA

Who is proficient in SAS or other statistical modeling tools. Who enjoys traveling, because this role involves traveling (80% to 100%). Who is proficient in Applied Statistics/Econometrics ...

Ra

Marketing Analytics Manager

Los Angeles, CA

Who is proficient in SAS or other statistical modeling tools. Who enjoys traveling, because this role involves traveling (80% to 100%). Who is proficient in Applied Statistics/Econometrics ...

Ra

Marketing Analytics Manager

Orange, CA

Who is proficient in SAS or other statistical modeling tools. Who enjoys traveling, because this role involves traveling (80% to 100%). Who is proficient in Applied Statistics/Econometrics ...

TikTok

Data Scientist, Quant Modeling

San Jose, CA · On-site

$136K - $292K/yr

Statistics, Operations Research, Computational Biology, Computer Science, Mathematics, Economics,). - 3+ years of experience in statistical modeling (Regression, Classification, Clustering, etc.) and ...

Apple

Senior Apps Applied Scientist

Cupertino, CA · On-site

The Applications team is looking for an outstanding Applied Scientist who will strengthen our team's capabilities in statistical modeling, machine learning, and foundational AI development. This role ...

TikTok

Data Science Lead, Quant Modeling

San Jose, CA · On-site

$179K - $374K/yr

Statistics, Operations Research, Computational Biology, Computer Science, Mathematics, Economics). - 5+ years of experience in statistical modeling (Regression, Classification, Clustering, etc.) and ...

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All JobsStatistical Modeling JobsStatistical Modeling Jobs in California

Statistical Modeling information

See California salary details

$36K

$54.6K

$97.7K

How much do statistical modeling jobs pay per year?

As of Jul 23, 2026, the average yearly pay for statistical modeling in California is $54,625.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,400.00 and $59,200.00 per year, depending on experience, location, and employer.

How much do data modelers make?

Data modelers, also known as statistical modelers, typically earn between $70,000 and $120,000 annually, depending on experience, education, and location. Senior roles or those with specialized skills in machine learning or programming may earn higher salaries, especially in tech hubs or large organizations.

Are statisticians highly paid?

Statisticians are generally well-paid, with median salaries often above the national average, especially for those with advanced skills in statistical software, programming, and data analysis. Salaries vary based on experience, education, industry, and location, but the profession is considered financially rewarding compared to many other roles in data analysis and modeling.

What are some common challenges faced by professionals in statistical modeling roles, and how can they be managed?

Professionals in statistical modeling often encounter challenges such as dealing with incomplete or messy data, selecting the most appropriate modeling techniques, and clearly communicating complex results to non-technical stakeholders. Managing these challenges typically involves collaborating closely with data engineers and domain experts, employing robust data cleaning practices, and staying up-to-date with new statistical methods. Additionally, effective communication skills are essential for translating technical findings into actionable business insights, ensuring that modeling efforts drive real-world impact.

What do statistical models do?

Statistical modeling involves creating mathematical representations of data to analyze relationships, make predictions, and inform decision-making. Professionals in this field use tools like regression analysis and statistical software to interpret complex data sets and support evidence-based conclusions.

What is statistical modeling?

Statistical modeling is the process of using mathematical models and statistical techniques to analyze data, identify patterns, and make predictions or inferences. It involves building models that represent relationships between variables in real-world systems. These models can be used for forecasting, hypothesis testing, and decision-making in various fields such as business, science, and engineering. Statistical modeling helps turn raw data into actionable insights by quantifying uncertainty and highlighting significant trends.

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

To excel as a Statistical Modeler, a solid background in statistics, mathematics, and data analysis—often supported by a degree in a quantitative field—is essential. Proficiency with statistical software such as R, Python, SAS, or SPSS and familiarity with data visualization tools are typically required. Strong problem-solving skills, critical thinking, and effective communication help convey complex findings to non-technical stakeholders. These skills ensure accurate model development, actionable insights, and effective decision-making based on data.

What is the difference between Statistical Modeling vs Data Analyst?

AspectStatistical ModelingData Analyst
Required CredentialsDegree in statistics, mathematics, or related field; proficiency in statistical softwareDegree in data science, statistics, or related; strong analytical skills
Work EnvironmentResearch, academia, or data-driven industries; focus on model developmentBusiness, marketing, or finance; focus on data interpretation and reporting
Employer & Industry UsageUsed in industries requiring predictive models and complex analysisUsed across various industries for data reporting and insights

Statistical Modeling involves creating mathematical models to understand data patterns and make predictions, often requiring advanced statistical knowledge. Data Analysts focus on interpreting data, generating reports, and providing actionable insights. While both roles work with data, Statistical Modeling emphasizes model development, whereas Data Analysts concentrate on data interpretation and presentation.

Is AI replacing statisticians?

Statisticians play a key role in designing experiments, analyzing data, and interpreting results, and AI tools are used to enhance these tasks rather than replace the profession. AI can automate routine data processing, but statisticians are needed for complex modeling, decision-making, and ensuring data quality. Proficiency in statistical software and programming languages like R or Python remains essential for the job.
What are popular job titles related to Statistical Modeling jobs in California? For Statistical Modeling jobs in California, the most frequently searched job titles are:
What job categories do people searching Statistical Modeling jobs in California look for? The top searched job categories for Statistical Modeling jobs in California are:
What cities in California are hiring for Statistical Modeling jobs? Cities in California with the most Statistical Modeling job openings:
Statistical Modeling jobs near you
Infographic showing various Statistical Modeling job openings in California as of July 2026, with employment types broken down into 68% Full Time, 13% Part Time, and 19% Contract. Highlights an 67% Physical, 3% Hybrid, and 30% Remote job distribution, with an average salary of $54,625 per year, or $26.3 per hour.
Assistant, Statistical Research Programmer PT, Limited Term

Assistant, Statistical Research Programmer PT, Limited Term

Chapman University

Orange, CA

$30/hr

Part-time

Posted 23 days ago

Chapman University rating

7.7

Company rating: 7.7 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

230th of 560 rated colleges and universities

Job description

Position Information
Position Title Assistant, Statistical Research Programmer PT, Limited Term Position Type Limited-Term Job Number SA74224 Full or Part Time part-time 0-19 hours weekly Fair Labor Standard Act Classification Non-Exempt Anticipated Pay Range $30.00 Pay Range Information
Chapman University is required to provide a reasonable estimate of the compensation range for this position. This range takes into account a variety of factors that are considered in making compensation decisions, including experience, skills, knowledge, abilities, education, licensure and certifications, and other business and organizational needs. Salary offers are determined based on the final candidate's qualifications and experience, as well as internal equity and other internal factors. The anticipated pay range is not a promise of a particular wage.
Position Summary Information
Job Description Summary
The role of the Assistant Statistical Research Programmer is integral in a dynamic multidisciplinary setting, supporting research initiatives encompassing a diverse array of critical subjects, including healthcare and health policy. This position will work closely with the PI and collaborators in creating, managing, and analyzing large and complex data sets.
This position is part-time up of up to19 hours a week.
Responsibilities
  • Work closely with the PI and collaborators in creating, managing, and analyzing large data sets, for example, using Python on IQVIA databases that contain billions of claims records and dispensing records.
  • Assist faculty and graduate researchers with statistical modeling, including regression, survival analysis, cost-effectiveness modeling, and multilevel modeling.
  • Contribute to continuous improvement of departmental data infrastructure and workflow efficiency.
  • Support research projects involving large administrative claims, EHR, survey, or clinical trial data.
  • Collaborate with external collaborators in implementing machine learning algorithms.
  • Perform other duties as assigned.
Required Qualifications
  • Bachelor's degree in Statistics, Biostatistics, Data Science, Computer Science, or a related field.Python, SAS, or R for data management and statistical analysis.
  • Exceptional problem-solving abilities with a solid understanding of statistical methods
  • Good, Strong interpersonal and communication skills
  • Ability to produce careful and detail-oriented work
  • Ability to work in a team environment.
  • A minimum of one year of experience in statistical programming with Python, SAS, or R, with a preference for candidates proficient in at least two of the mentioned languages.
Desired Qualifications
  • Master's Degree in related field.
  • A good understanding of statistical methods for geospatial epidemiology (e.g., ArcGIS and
    preferably SaTScan).
  • Experience in writing and preparing manuscripts for publication.
  • Thorough understanding and knowledge of epidemiological study design.
  • Previous clinical or research training.
Special Instructions to Applicants
At Chapman University, we believe collaboration thrives through in-person engagement. This position is fully on campus, and employees work alongside colleagues, faculty, students, and staff each day to support our vibrant university community.
Chapman University is an equal opportunity employer that provides equal employment opportunities to all individuals, regardless of their protected characteristics.  All qualified applicants and employees are encouraged to apply and will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, gender expression, national origin, ancestry, citizenship status, physical disability, mental disability, medical condition, military and veteran status, marital status, pregnancy, genetic information or any other characteristic protected by state or federal law.
Applicants for Staff and Administrator positions must be currently authorized to work in the United States on a full-time basis. 
The offer of employment is contingent upon satisfactory completion and outcomes of a criminal background screening and returning to the Office of Human Resources a signed original acceptance of the Chapman University Agreement to Arbitrate 
Minimum Number of References Maximum Number of References

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