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Applied Statistics Jobs in California (NOW HIRING)

Staffwing Inc

Lead Data Scientist

San Jose, CA

Expertise in mathematics and applied statistics, computer science, and visualization capabilities. * Curious and an excellent learner. Able to research, explore and acquire working knowledge in new ...

Staffwing Inc

Lead Data Scientist

San Jose, CA · On-site

Expertise in mathematics and applied statistics, computer science, and visualization capabilities. * Curious and an excellent learner. Able to research, explore and acquire working knowledge in new ...

InMobi

Applied Scientist III

San Mateo, CA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

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 ...

Jobtailor

AI & Machine Learning Engineer I

Mountain View, CA · On-site

$140 - $210/hr

Applied ML and model development: Two or more years of professional experience in applied machine learning, data science, ML engineering, applied statistics, or a related field, including experience ...

Posted today

Econ One Research, Inc.

Econometrician

Los Angeles, CA

$170K - $200K/yr

  • Medical

  • Dental

  • Life

  • Retirement

Our in-house expertise in applied statistics, data management, economic theory, and econometrics is coupled with decades of experience successfully dealing with case-specific demands at every stage ...

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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.

Associate Director, Quality Engineer/Data Science

Allogene Therapeutics

South San Francisco, CA • On-site

$170K - $210K/yr

Full-time

Medical

Re-posted 11 days ago

Job description

Job Description
About Allogene:
Allogene Therapeutics, with headquarters in South San Francisco, is a clinical-stage biotechnology company pioneering the development of allogeneic chimeric antigen receptor T cell (AlloCAR T) products for cancer and autoimmune disease. Led by a management team with significant experience in cell therapy, Allogene is developing a pipeline of "off-the-shelf" CAR T cell product candidates with the goal of delivering readily available cell therapy on demand, more reliably, and at greater scale to more patients.
About the role:
We are seeking a highly motivated Associate Director, Quality Engineer/Data Science to work in this exciting new area of allogeneic cell therapy. In this role, you will report to the head of Validation and Quality Engineering, and you will be responsible for developing and leading the Quality Data Science/Quality Engineering function to embed the principles and practices of applied statistics, data science and machine learning to further Allogene's efforts in leading the establishment of an allogeneic CAR T platform, and to provide guidance and data driven insights across Allogene's programs. You will work closely with respective project teams to establish a quality data science roadmap to implement a lifecycle approach for product quality control strategies, including tools and technologies to drive innovation and continuous improvement. The position is based out of our headquarters in South San Francisco, CA.
Responsibilities include, but are not limited to:
  • Develop and execute strategy and roadmap to establish quality data science as a core capability for building allogeneic platform knowledge and establish data analytics to enable predict and prevent capabilities across GMP operations.
  • Provide direction and input to project teams utilizing the principles of applied science and statistics to drive strategies for process and analytical understanding and overall product quality control, including approaches for product comparability, process validation, product monitoring, stability trending and lifecycle management/improvement.
  • Contribute to the build out of the Allogene GMP Quality Management System by developing procedures and providing significant input and support to Product Quality Review and Management Review tools and practices.
  • Serve as company authority on quality data science and QE activities in support of regulatory submissions and inspections, including assuring inspection readiness.
  • Support root cause investigations and ensure data-driven decision making.
  • Champion the use of data analytics and operational excellence tools to drive process improvement and innovation across the Allogene enterprise.
  • Integral member of cross-functional teams to garner interdisciplinary insights (e.g. technical, clinical) to further accelerate Allogene's leading approach to the establishment of an "off-the-shelf" allogeneic CAR T platform.
  • Collaborate across functions and stakeholders to develop a Knowledge Management approach for Allogene.
  • Routinely scan external environment and engage in industry forums to proactively identify and implement best practices and new technologies.

Position Requirements & Experience:
  • BS/MS degree in Statistics, Data Science, or related field (advanced degree preferred), ASQ Quality Engineer certification preferred, with at least 6-8 years of relevant experience in the biotechnology or pharmaceutical industry.
  • Strong expertise in applied statistics (e.g., DoE, multivariate analysis, regression, time-series).
  • Hands-on experience with tools such as R, Python, JMP, SAS, or equivalent.
  • Experience working with complex data from laboratory, process, or manufacturing systems and ability to translate complex data insights into actionable business recommendations.
  • Familiarity with visualization tools.
  • Comprehensive knowledge of GMP regulations, guidance, and industry best practices.
  • Proven success influencing cross-functional teams and senior stakeholders without direct authority.
  • Comfortable in a fast-paced small company environment and able to adjust workload based upon changing priorities.
  • Candidates must be authorized to work in the U.S.

We offer a chance to work with talented people in a collaborative environment and provide a top-notch compensation and benefits package, which includes an annual performance bonus, equity, health insurance, generous time off (including 2 annual holiday company-wide shutdowns) and much more. The expected salary range for this role is $170,000 to $210,00 per year. Actual pay will be determined based on experience, qualifications, geographic location, business needs, and other job-related factors permitted by law.
As an equal opportunity employer, Allogene is committed to a diverse workforce. Employment decisions regarding recruitment and selection will be made without discrimination based on race, color, religion, national origin, gender, age, sexual orientation, physical or mental disability, genetic information or characteristic, gender identity and expression, veteran status, or other non-job-related characteristics or other prohibited grounds specified in applicable federal, state and local laws. We also embrace differences in experience and background, and welcome diversity of opinions and thought, designed to create a stronger and better Allogene that is focused on developing life-changing products for patients.
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