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Quantitative Methods Jobs in California (NOW HIRING)

Zenni Optical

Research & Insights Analyst

Novato, CA · Remote

$300/day

You will own the quantitative methods, statistical rigor, and data-driven insights that inform decision-making across the organization - from audience strategy to product development and marketing.

Arcadia Science

Quantitative Biologist

Emeryville, CA · On-site

$150K - $200K/yr

We are seeking a Quantitative Biologist to join our Validation team with strong expertise in using ... Develop and maintain scalable workflows and pipelines that apply these methods to high-dimensional ...

Arcadia Science

Quantitative Biologist

Emeryville, CA · On-site +1

$150K - $200K/yr

We are seeking a Quantitative Biologist to join our Validation team with strong expertise in using ... Develop and maintain scalable workflows and pipelines that apply these methods to high-dimensional ...

Arcadia Science

Quantitative Biologist

Emeryville, CA · On-site +1

We are seeking a Quantitative Biologist to join our Validation team with strong expertise in using ... Develop and maintain scalable workflows and pipelines that apply these methods to high-dimensional ...

Arcadia Science

Platform Fellow

Emeryville, CA

$56K - $76K/yr

For this role in particular, we are looking for scientists who want to apply quantitative methods to biological questions across the tree of life. The ideal candidate is comfortable with ambiguity ...

Arcadia Science

Platform Fellow

Emeryville, CA · On-site

$8K - $12K/mo

For this role in particular, we are looking for scientists who want to apply quantitative methods to biological questions across the tree of life. The ideal candidate is comfortable with ambiguity ...

Arcadia Science

Platform Fellow

Emeryville, CA

$8K - $12K/mo

For this role in particular, we are looking for scientists who want to apply quantitative methods to biological questions across the tree of life. The ideal candidate is comfortable with ambiguity ...

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All JobsQuantitative Methods JobsQuantitative Methods Jobs in California

Quantitative Methods information

See California salary details

$30.6K

$89.4K

$144.1K

How much do quantitative methods jobs pay per year?

As of Jun 8, 2026, the average yearly pay for quantitative methods in California is $89,393.00, according to ZipRecruiter salary data. Most workers in this role earn between $34,500.00 and $117,400.00 per year, depending on experience, location, and employer.

What are the most common challenges faced when working in a Quantitative Methods role, and how can new hires prepare to overcome them?

Professionals in Quantitative Methods often encounter challenges such as interpreting complex data sets, ensuring model accuracy, and translating quantitative findings into actionable business insights. It can also be demanding to communicate technical concepts to non-technical stakeholders and to stay updated with evolving analytical tools and methodologies. New hires can prepare by strengthening their statistical programming skills, practicing clear communication, and staying proactive about learning the latest industry software and best practices.

What are quantitative methods?

Quantitative methods refer to research techniques that focus on quantifying data and phenomena. These methods use statistical, mathematical, or computational tools to analyze numerical data, identify patterns, and make predictions. In various fields like finance, social sciences, and data science, quantitative methods are essential for making objective decisions and testing hypotheses. Techniques often include surveys, experiments, and analysis of large datasets.

What are the key skills and qualifications needed to thrive in Quantitative Methods, and why are they important?

To excel in Quantitative Methods, you need a strong background in mathematics, statistics, and data analysis, often supported by at least a bachelor's degree in a quantitative field. Proficiency with statistical software such as R, Python, SAS, or MATLAB, and familiarity with data visualization tools are commonly required. Analytical thinking, attention to detail, and effective communication skills help professionals interpret data and present insights clearly. These skills are critical for making data-driven decisions, solving complex problems, and supporting organizational objectives.

What is the difference between Quantitative Methods vs Data Analyst?

AspectQuantitative MethodsData Analyst
Required CredentialsStatistics, mathematics, data analysis certificationsStatistics, data analysis, business intelligence certifications
Work EnvironmentResearch, modeling, statistical analysis in finance, academia, or consultingData cleaning, visualization, reporting in various industries
Employer & Industry UsageFinancial firms, research institutions, consultingBusiness, marketing, healthcare, tech companies

While Quantitative Methods focus on developing statistical models and mathematical techniques for analysis, Data Analysts primarily interpret data through visualization and reporting to support business decisions. Both roles require strong analytical skills, but Quantitative Methods often involve more advanced statistical modeling and theoretical work, whereas Data Analysts focus on data interpretation and communication.

What are popular job titles related to Quantitative Methods jobs in California? For Quantitative Methods jobs in California, the most frequently searched job titles are:
What job categories do people searching Quantitative Methods jobs in California look for? The top searched job categories for Quantitative Methods jobs in California are:
Quantitative Methods jobs near you
Infographic showing various Quantitative Methods job openings in California as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $89,393 per year, or $43 per hour.
Research & Insights Analyst

Research & Insights Analyst

Zenni Optical

Novato, CA • Remote

$300/day

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 28 days ago

Job description

About the Role

Zenni's Research Team is looking for a Research & Insights Analyst to be the team's dedicated analytical specialist. You will own the quantitative methods, statistical rigor, and data-driven insights that inform decision-making across the organization - from audience strategy to product development and marketing. This role reports to the Sr. Director, Product Marketing & Research and partners cross-functionally with Data Engineering, AI/ML, Marketing, Product, Brand, Merchandising, CRM, and the Executive Team.

If based in the Bay Area, this role requires occasional in-office presence.

Responsibilities

  • Conduct quantitative consumer research, e.g., design surveys, AB testing, develop sampling strategies, and conduct statistical analyses that drive strategic decisions
  • Own audience segmentation and persona development, including data modeling, behavioral clustering, and ongoing validation
  • Conduct pricing, revenue, and product performance analytics to highlight opportunities for growth
  • Translate and present complex data into clear, actionable insights and recommendations for both technical and non-technical stakeholders
  • Serve as the team's methodological authority on all quantitative research, ensuring rigor, validity, and reproducibility
  • Collaborate with Data Engineering, AI/ML, Paid Marketing and Finance to connect research insights with internal datasets to identify research topics
  • Contribute to the team's research roadmap and support cross-functional ad hoc requests

Basic Qualifications 

  • 4-7 years of experience in quantitative research, consumer insights, market research, or applied analytics
  • Strong foundation in statistical methods (e.g., hypothesis testing, regression, cluster analysis, bootstrapping, effect size measurement)
  • Proficiency with survey platforms (e.g., Qualtrics) and statistical tools (e.g., R, Python, SPSS)
  • Ability to communicate quantitative findings clearly to non-technical audiences
  • Bachelor's degree in a quantitative discipline; Master's or PhD preferred

Preferred Qualifications 

  • Experience with audience segmentation or persona development at scale
  • Familiarity with pricing research methodologies (e.g., conjoint, Van Westendorp)
  • Background in e-commerce, DTC, retail, or consumer products
  • Experience with digital analytics platforms (e.g., ContentSquare, Google Analytics)
  • Bay Area-based candidates are preferred!
U.S. Perks & Benefits:
  • Annual bonus program
  • 100% employer-paid medical, dental, and vision (dependent coverage capped at $300/month)
  • Life, AD&D, and disability coverage (with optional add-ons)
  • 401(k) with up to 4% match
  • Comprehensive wellbeing programs (mental, physical, emotional support)
  • Lifestyle Spending Account (wellbeing + learning)
  • Work-from-home stipend (for eligible roles)
  • Generous PTO in addition to our Week of Zen - the time between Christmas and New Year's to relax and recuperate
  • Fully Paid Parental Leave - 16 weeks for birthing and non-birthing parents
  • Family forming & fertility support and services through Maven
  • Annual Zenni Gift Card - to use towards our products!
Compensation

In addition to other forms of compensation, such as perks and benefits, the estimated salary range for this role is $108,600 - $135,700 for candidates outside of California. For California-based candidates, the estimated salary range is $119,460 - $149,270. The final offer will be determined based on permissible, non-discriminatory factors such as skill set, experience, geographical location, market conditions, and other organizational needs. The Company reserves the right to change, modify, or revisit the salary range for various reasons including business needs.

(U.S. ONLY) Please note: While we prefer Bay Area-based candidates, we are registered in some, but not all, states. If you are located full-time in one of the following states, we welcome you to apply: Arizona, California, Colorado, Connecticut, District of Columbia, Florida, Georgia, Illinois, Iowa, Kansas, Massachusetts, Michigan, Minnesota, Mississippi, Missouri, Nevada, New Jersey, New York, Ohio, Oregon, Texas, Utah, Virginia.
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