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Statistical Modeling Jobs in California (NOW HIRING)

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 ...

Ignite Digital

Mid Data Scientist

San Diego, CA

In this role, you will leverage advanced analytics, machine learning, and statistical modeling techniques to extract insights from complex datasets. You will work closely with cross-functional teams ...

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 ...

Apple

Senior Apps Applied Scientist

Cupertino, CA · On-site +1

$181K - $318K/yr

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 ...

Apple

Senior Apps Applied Scientist

Cupertino, CA · On-site +1

$181K - $318K/yr

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 ...

Apple

Senior Apps Applied Scientist

Cupertino, CA · On-site +1

$181K - $318K/yr

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 ...

Mytra

Senior Modeling & Optimization Engineer

Brisbane, CA · On-site

$125K - $172K/yr

... statistical modeling, or applied data science. • Ability to design experiments, analyze data, and communicate insights clearly to technical and non-technical audiences. • Solid engineering ...

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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 1, 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 June 2026, with employment types broken down into 94% Full Time, 5% Part Time, and 1% Temporary. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $54,625 per year, or $26.3 per hour.

Marketing Analytics Senior Manager

Ra

San Francisco, CA

Full-time

Posted yesterday

Job description

Company Description

About Client:

They help in transforming the leading organizations and communities around the world. Organizations infrastructure and culture is amazing. Best place!!

Job Description

Job Title: Marketing Analytics Senior Manager

Job Level: Senior Level


Job Description:

This is what you will do..


You will be using quantitative methods to assess the impact of offline and digital marketing.

You will be interacting with the client. 

You will be providing analyses, recommendations, presentations and advice to clients.

You will be doing project-based analytics which includes Marketing Mix Modeling, Multi-Channel Attribution, Digital Analytics, Pricing and Promotion and Demand Forecasting.

You will be leading a team and you will be responsible for team's growth.


We are looking for someone...

Who has nearly 7+ years of experience in the analysis of Marketing data using SAS and other statistical modeling tools.

Who is good in management or leadership role.

Who is good in providing external consulting.

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, Statistical Programming, Database Marketing Management & Operations etc.

Who is proficient in Customer-level data analysis.


Qualifications

Who has nearly 7+ years of experience in the analysis of Marketing data using SAS and other statistical modeling tools.

Who is good in management or leadership role.

Who is good in providing external consulting.

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, Statistical Programming, Database Marketing Management & Operations etc.

Who is proficient in Customer-level data analysis.



Additional Information

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

Apply