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Statistical Modeling Jobs in California (NOW HIRING)

Doist

Data Scientist

Fairfield, CA · On-site

$140 - $190/hr

In this role, you will combine geospatial analytics, statistical modeling, machine learning, and software development to solve complex underwriting and risk management challenges. You will develop ...

New

YO AI Labs

Data Scientist

Glendale, CA

Python Machine Learning, data science, AWS, Statistical Modeling, Semantic Search, Vector DB, GenAI, SQL Qualifications: * Bachelors in Statistics, Economics, Computer Science, Engineering ...

Intuit

Manager 2, AI Science

San Diego, CA · On-site

$211K - $285K/yr

Expert command of AI and machine learning, statistical modeling, state-of-the-art tools, and engineering best practices * Experience in leading teams who have expertise in data mining algorithms and ...

Socket.dev

Data Scientist, Prime Video Science

Culver City, CA · On-site

$136 - $184/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Apply statistical modeling, causal inference, and data analysis to answer business questions and inform major investment decisions. * Communicate findings to business, finance, engineering, and ...

Mercor

Data Scientist - AI Evaluation

San Francisco, CA · Remote

$100 - $150/hr

Design precise, task-specific grading criteria for data science deliverables, including exploratory data analyses , statistical modeling work , machine learning pipelines , and A/B test write-ups

New

Apple

Applied AI Engineer

Cupertino, CA · On-site

The ideal candidate combines deep technical expertise in machine learning, statistical modeling, and AI framework development with strong problem-solving and interpersonal skills, ensuring effective ...

Intuit

Manager 2, AI Science

San Diego, CA · On-site

$211K - $285K/yr

Expert command of AI and machine learning, statistical modeling, state-of-the-art tools, and engineering best practices * Experience in leading teams who have expertise in data mining algorithms and ...

Intuit

Manager 2, AI Science

San Diego, CA · On-site

$211K - $285K/yr

Expert command of AI and machine learning, statistical modeling, state-of-the-art tools, and engineering best practices * Experience in leading teams who have expertise in data mining algorithms and ...

Panasonic

Data Scientist IV

Irvine, CA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Have strong predictive, statistical modeling skills. Constructs forecasts, recommendations, and strategic/tactical plans based on business data and market knowledge. Creates specifications for ...

Panasonic Avionics Corporation

Data Scientist IV

Irvine, CA · On-site

$142 - $238/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Have strongpredictive,statistical modeling skills. Constructs forecasts,recommendations,and strategic/tactical plans based on business data and market knowledge.Creates specifications for reports and ...

New

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Showing results 41-60

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 Aug 15, 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.

What do statistical modeling do?

Statistical modeling involves creating mathematical representations of data to analyze patterns, make predictions, and inform decision-making. Professionals in this field use tools like statistical software and techniques such as regression analysis to interpret complex data sets. It is essential in fields like data science, research, and analytics to support evidence-based conclusions.

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 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.

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 August 2026, with employment types broken down into 85% Full Time, 11% Part Time, 2% Temporary, and 2% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $54,625 per year, or $26.3 per hour.

Sr. Consultative Data Scientist

Elevate Ventures

San Jose, CA • On-site

$100 - $130/hr

Other

Posted 9 days ago

Job description

Job Title

Consultative Data Scientist

Job Summary

We are seeking a Consultative Data Scientist to join our team. The ideal candidate will have a strong background in data analysis and statistical modeling, as well as excellent communication and consulting skills. The Consultative Data Scientist will work closely with clients to understand their business needs, and will provide expert guidance on how to leverage data to make informed decisions.

Key Responsibilities
  • Work collaboratively with clients to understand their business objectives and data‑related challenges
  • Develop and implement custom data analysis solutions, including statistical models and machine learning algorithms, to solve complex business problems
  • Provide expert guidance and advice on data‑related issues to clients, including data management, analysis, visualization, and interpretation
  • Collaborate with cross‑functional teams to ensure that data analysis solutions are aligned with client needs and business objectives
  • Communicate complex data analysis concepts and results to non‑technical stakeholders in a clear and concise manner
  • Continuously stay up‑to‑date with the latest trends and developments in data analysis and related technologies
  • Conduct training sessions and workshops to help clients build their data analysis skills and capabilities
  • Support business development activities by identifying new opportunities and preparing proposals and presentations for prospective clients
Requirements
  • Master’s or Ph.D. degree in Data Science, Statistics, Computer Science, or a related field
  • 5+ years of experience in data analysis, statistical modeling, and/or machine learning
  • Strong consulting and client‑facing skills, including the ability to build strong relationships with clients and understand their business needs
  • Excellent communication and presentation skills, with the ability to communicate complex data analysis concepts to non‑technical stakeholders
  • Strong problem‑solving and critical thinking skills, with the ability to develop and implement innovative data analysis solutions
  • Proficiency in programming languages such as Python or R, as well as experience with data analysis and visualization tools such as SQL, Tableau, Alteryx and Power BI. Experience with Sigma Computing is a plus.
  • Experience working in a consulting or client‑facing role is strongly preferred
  • Strong project management skills and the ability to manage multiple projects and priorities simultaneously
  • Ability to work independently as well as in a team environment

If you are passionate about leveraging data to drive business results and thrive in a collaborative, client‑focused environment, we encourage you to apply for this exciting opportunity as a Consultative Data Scientist at Stellar.

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