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Applied Statistics Jobs in California (NOW HIRING)

Doctorate degree and 3 years of Applied Statistics, Industrial Statistics or Non-clinical Biostatistics experience OR * Master's degree and 5 years Applied Statistics, Industrial Statistics or Non ...

Doctorate degree and 3 years of Applied Statistics, Industrial Statistics or Non-clinical Biostatistics experience OR * Master's degree and 5 years Applied Statistics, Industrial Statistics or Non ...

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc. Who is proficient in Customer-level data analysis. Qualifications Who ...

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc. Who is proficient in Customer-level data analysis. Qualifications Who ...

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc. Who is proficient in Customer-level data analysis. Qualifications Who ...

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc. Who is proficient in Customer-level data analysis. Qualifications Who ...

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc. Who is proficient in Customer-level data analysis. Qualifications Who ...

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc. Who is proficient in Customer-level data analysis. Qualifications Who ...

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc. Who is proficient in Customer-level data analysis. Qualifications Who ...

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc. Who is proficient in Customer-level data analysis. Qualifications Who ...

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc. Who is proficient in Customer-level data analysis. Qualifications Who ...

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc. Who is proficient in Customer-level data analysis. Qualifications Who ...

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc. Who is proficient in Customer-level data analysis. Qualifications Who ...

Statistics, Operations Research, Computer Science, Informatics, Engineering, Applied Mathematics, Economics, etc. * 3+ years of industry or relevant academia experience * Background in at least one ...

Senior Applied Scientist

Mountain View, CA · On-site +1

$144K - $236K/yr

Statistics, Operations Research, Computer Science, Informatics, Engineering, Applied Mathematics, Economics, etc. * 3+ years of industry or relevant academia experience * Background in at least one ...

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Applied Statistics information

See California salary details

$40K

$82.6K

$115.5K

How much do applied statistics jobs pay per year?

As of Sep 7, 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. Certification in statistical software or data analysis 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 cities in California are hiring for Applied Statistics jobs?

Cities in California with the most Applied Statistics job openings:

Infographic showing various Applied Statistics job openings in California as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 24% Part Time, and 1% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $82,561 per year, or $39.7 per hour.

Master of Applied Statistics & Data Science Adjunct Professor - Fall 2026

University of California, Los Angeles

Los Angeles, CA • On-site

$25K - $50K/mo

Other

Posted 13 days ago


UCLA rating

8.0

Company rating: 8.0 out of 10

Based on 78 frontline employees who took The Breakroom Quiz

191st of 631 rated colleges and universities


Job description

Position description
The UCLA Department of Statistics and Data Science seeks open-ranked adjunct professors with a strong commitment to excellence in teaching applied statistics to fill temporary positions for the Master of Applied Statistics program for Fall Quarter 2026, starting on October 1, 2026.
Ideal candidates will have a Ph.D. in Statistics or a related field, a demonstrated excellence in teaching, knowledge of and experience with R, experience in applied statistics, data science and analytics, methods for analyzing big data and machine learning, and a commitment to excellent teaching. Adjunct professors are expected to continue scholarly work, either through research in statistics education, research in statistics, statistical consulting, or other scholarly activities.
Interested applicants should apply by submitting a CV and a UCLA Mission Statement to UCLA Academic Recruit at:
(https://recruit.apo.ucla.edu/JPF11297
The salary range for this position is $25,000-$50,000.
All inquiries may be sent to:
Chie Ryu
UCLA Department of Statistics & Data Science
chie.ryu@stat.ucla.edu
The University of California is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age or protected veteran status. For the complete University of California nondiscrimination and affirmative action policy, see University of California nondiscrimination and affirmative action policy .
As a condition of employment, you will be required to comply with the University of California Policy on Vaccination Programs - With Updated Interim Amendments. All Covered Individuals under the policy must provide proof of receiving the COVID-19 Vaccine Primary Series or, if applicable, submit a request for Exception (based on Medical Exemption, Disability, Religious Objection, and/or Deferral based on pregnancy or recent COVID-19 diagnosis and/or treatment) no later than the applicable deadline. All Covered Individuals must also provide proof of receiving the most recent CDC-recommended COVID-19 booster or properly decline such booster no later than the applicable deadline. New University of California employees should refer to Exhibit 2, Section II.C. of the SARS-CoV-2 (COVID-19) Vaccination Program Attachment for applicable deadlines. All Covered Individuals must also provide proof of being Up-To-Date on seasonal influenza vaccination or properly decline such vaccination no later than the applicable deadline. Please refer to the Seasonal Influenza Vaccination Program Attachment. (Capitalized terms in this paragraph are defined in the policy.) Federal, state, or local public health directives may impose additional requirements.
Qualifications
Basic qualifications
Ideal candidates will have a Ph.D. in Statistics or a related field, a demonstrated excellence in teaching, knowledge of and experience with R, experience in applied statistics, data science and analytics, methods for analyzing big data and machine learning, and a commitment to excellent teaching.
Application Requirements
Document requirements
  • Curriculum Vitae - Your most recently updated C.V.
  • Cover Letter (Optional)
  • Statement of Research (Optional)
  • Reference check authorization release form - Complete and upload the reference check authorization release form
  • UCLA Mission Statement - As the nation's premier public research university, UC's mission is the creation, dissemination, preservation and application of knowledge for the betterment of our global society. We have a particular responsibility to the people of California which we express in the excellence of the education we provide, the impact of the research we do, the comprehensive, life-saving medical services we provide, and the public service mission we are devoted to. The University of California promotes the social mobility of its students, equips them with the tools and experience that furthers their ambitions, and regards their accomplishments across the life span as evidence of the profoundly positive impact of higher education.
    The UCLA campus has expressed these goals in its strategic plan as follows:
    Deepen our engagement with Los Angeles
    Expand our reach as a global university
    Enhance our research and creative activities
    Elevate how we teach
    Become a more effective institution
    Prompt for candidates for recruitment:
    Reflecting on your personal and professional experiences, highlight your past contributions and future commitments to advancing UCLA's mission as embodied in the 2023-28 strategic plan. These accomplishments and ambitions may be discussed in the context of describing your teaching, scholarship, and service
  • Statement of Teaching (Optional)

Reference requirements
References will not be required at the time of application.
Apply link: https://recruit.apo.ucla.edu/JPF11297
Help contact: chie.ryu@stat.ucla.edu
About UCLA
As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.
The University of California is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected status under state or federal law.
As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.
  • "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment, discrimination, dishonesty, or unethical conduct, as defined by the employer.
  • UC Sexual Violence and Sexual Harassment Policy
  • UC Anti-Discrimination Policy for Employees, Students and Third Parties
  • APM - 035: Affirmative Action and Nondiscrimination in Employment

Job location
Los Angeles, CA

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