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Masters In Statistics Jobs in Berkeley, CA (NOW HIRING)

Masters in statistics, computer science, or related discipline. * Leadership experience in large, matrixed organizations. * Track record scaling platforms and reusable assets. PREFERRED LICENSES ...

Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field. Option 3: 4 years' experience in an analytics or related field.

(USA) Data Scientist III

San Mateo, CA · On-site

$117K - $234K/yr

Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field. Option 3: 4 years' experience in an analytics or related field.

Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field. Option 3: 4 years' experience in an analytics or related field.

Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field. Option 3: 6 ...

Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field. Option 3: 6 ...

Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years' experience in an analytics related field. Option 3: 6 ...

PhD or Masters in a quantitative discipline: Computer Science, Statistics, Applied Mathematics, Operations Research, Engineering * Working knowledge of health care systems and healthcare terminology

PhD or Masters in a quantitative discipline: Computer Science, Statistics, Applied Mathematics, Operations Research, Engineering * Working knowledge of health care systems and healthcare terminology

PhD or Masters in a quantitative discipline: Computer Science, Statistics, Applied Mathematics, Operations Research, Engineering * Working knowledge of health care systems and healthcare terminology

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Showing results 1-20

Masters In Statistics information

See Berkeley, CA salary details

$49.6K

$102.4K

$143.3K

How much do masters in statistics jobs pay per year?

As of Jun 16, 2026, the average yearly pay for masters in statistics in Berkeley, CA is $102,432.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,800.00 and $142,000.00 per year, depending on experience, location, and employer.

Is it worth it to get a master's in statistics?

A master's in statistics can enhance job prospects for roles such as data analyst, statistician, or data scientist by providing advanced skills in statistical methods, programming, and data analysis tools like R or Python. It often leads to higher salaries and more specialized positions, but the value depends on career goals and industry demand.

Are statisticians highly paid?

Statisticians with a master's in statistics often earn higher salaries than those with only a bachelor's degree, with median annual wages typically above the national average for all occupations. Salaries vary based on experience, industry, and location, but advanced skills in data analysis, programming, and statistical software can lead to higher compensation.

Which MA is most in demand?

A Master’s in Statistics is highly in demand across industries such as finance, healthcare, and technology due to the increasing reliance on data analysis and predictive modeling. Skills in programming languages like R and Python, along with knowledge of machine learning, enhance job prospects in this field.

What can you do with a Master's in Statistics?

A Master's in Statistics opens up a wide range of career opportunities in various industries, including healthcare, finance, government, technology, and research. Graduates often work as data analysts, statisticians, biostatisticians, data scientists, or research scientists. They are responsible for collecting, analyzing, and interpreting data to help organizations make informed decisions. This degree also provides a strong foundation for pursuing doctoral studies or specialized roles in academia and industry.

What types of roles and industries typically hire professionals with a Master's in Statistics, and how do these roles differ in daily responsibilities?

A Master's in Statistics opens doors to a variety of roles across industries such as healthcare, finance, technology, government, and research institutions. For example, statisticians in healthcare may focus on designing clinical trials and analyzing patient outcomes, while those in finance might develop risk models or forecast market trends. In tech, statisticians often collaborate with data scientists and engineers to optimize algorithms or interpret large data sets. Daily responsibilities can range from data cleaning and analysis to presenting findings and advising stakeholders, with collaboration and communication being key across all sectors.

Is AI replacing statisticians?

AI is transforming the role of statisticians by automating data analysis tasks and enabling more complex modeling, but it does not replace the need for statistical expertise. Statisticians are essential for designing studies, interpreting results, and ensuring data quality, often using tools like R or Python. Their skills remain valuable in developing, validating, and applying AI models effectively.

What are the key skills and qualifications needed to thrive as a Statistician, and why are they important?

To thrive as a Statistician, you need strong quantitative analysis skills, a solid foundation in probability and statistical theory, and typically a master's degree in statistics or a related field. Familiarity with statistical software such as R, SAS, or Python, and experience with data management systems are common technical requirements. Excellent problem-solving abilities, attention to detail, and clear communication skills help statisticians interpret data and explain results to non-experts. These skills are vital for providing accurate analyses that inform decision-making and drive research or business strategies.

What is the difference between Masters In Statistics vs Data Analyst?

AspectMasters In StatisticsData Analyst
Required CredentialsMaster's degree in Statistics or related fieldBachelor's or Master's degree in related fields like Business, Economics, or Computer Science
Work EnvironmentResearch, academia, data science teams in various industriesBusiness, finance, marketing departments, often in corporate settings
Industry UsageUsed in research, academia, specialized data science rolesApplied in business decision-making, reporting, and operational analysis

Masters In Statistics and Data Analyst roles share overlapping skills in data handling and analysis. However, a Masters In Statistics typically involves advanced statistical theory and research, preparing individuals for specialized or academic roles. Data Analysts focus on applying data skills to solve business problems, often with less emphasis on theoretical research. Both roles are vital in data-driven industries, but their focus and career paths differ.

What are popular job titles related to Masters In Statistics jobs in Berkeley, CA? For Masters In Statistics jobs in Berkeley, CA, the most frequently searched job titles are:
What job categories do people searching Masters In Statistics jobs in Berkeley, CA look for? The top searched job categories for Masters In Statistics jobs in Berkeley, CA are:
What cities near Berkeley, CA are hiring for Masters In Statistics jobs? Cities near Berkeley, CA with the most Masters In Statistics job openings:
Infographic showing various Masters In Statistics job openings in Berkeley, CA as of June 2026, with employment types broken down into 82% Full Time, and 18% Part Time. Highlights an 100% In-person job distribution, with an average salary of $102,432 per year, or $49.2 per hour.
Lecturer - Department of Statistics - College of Computing, Data Science and Society

Lecturer - Department of Statistics - College of Computing, Data Science and Society

University of California, Berkeley

Berkeley, CA • On-site

$70K - $199K/yr

Other

Posted 14 days ago


University Of California Berkeley rating

8.6

Company rating: 8.6 out of 10

Based on 31 frontline employees who took The Breakroom Quiz

51st of 537 rated colleges and universities


Job description

Position overview
Salary range: The UC academic salary scales set the minimum pay at appointment. See the following table(s) for the current salary scale(s) for the Lecturer position: https://www.ucop.edu/academic-personnel-programs/_files/2025-26/represented-july-2025-scales/t15.pdf The current full-time salary range for the Lecturer position is $70,977-$199,722. Starting salary will be commensurate with highest degree, past college-level teaching experience, relevant industry experience and equity within the department. The current salary range for TSP positions is $1,455.90 - $3,440 flat rate per bootcamp taught.
Percent time: 11%-100%
Anticipated start: We typically start reviewing applications for Fall and Summer courses in December, for Spring courses in August-September, however we encourage applications throughout the year as new needs may arise. Anticipated start date for TSP is summer 2026 or future semesters.
Application Window
Open date: July 1, 2025
Most recent review date: Tuesday, Jul 15, 2025 at 11:59pm (Pacific Time)
Applications received after this date will be reviewed by the search committee if the position has not yet been filled.
Final date: Tuesday, Jun 30, 2026 at 11:59pm (Pacific Time)
Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.
Position description
The Department of Statistics at UC Berkeley invites applications for a pool of qualified temporary instructors to teach the following courses should an opening arise. Screening of applicants is ongoing and will continue as needed. The number of positions varies from semester to semester including summer sessions, depending upon the needs of the Department.
We hire a number of qualified professionals and academics to hold temporary lecturer and TSP (Teacher Special Program) positions in Statistics. We are seeking outstanding lecturers who can teach one or more of the following courses listed below.
Teaching Responsibilities:
STATISTICS 2: Introduction to Statistics
STATISTICS C8: Foundations of Data Science
STATISTICS 20: Introduction to Probability and Statistics
STATISTICS 21: Introduction to Probability and Statistics for Business
STATISTICS 33A: Introduction to Programming in R
STATISTICS 33B: Introduction to Advanced R
STATISTICS 88: Probability and Mathematical Statistics in Data Science
STATISTICS C100: Principles and Techniques of Data Science
STATISTICS 131A: Statistical Methods for Data Science
STATISTICS 133: Concepts in Computing with Data
STATISTICS 134: Concepts of Probability
STATISTICS 135: Concepts of Statistics
STATISTICS 150: Stochastic Processes
STATISTICS 151A: Linear Modeling: Theory and Applications
STATISTICS 153: Time Series
STATISTICS 154: Modern Statistical Prediction and Machine Learning
STATISTICS 155: Game Theory
STATISTICS 159: Reproducible and Collaborative Statistical Data Science
General Duties:
General duties include developing syllabi, lecturing, writing assignments, writing and grading exams, supervising teaching assistants, holding office hours, and maintaining a course website. Other duties may be assigned by the Chair as necessary.
TSP (Teacher Special Program) appointments teach our Summer Preparation Bootcamp for the Master of Arts (M.A.) in Statistics program. This bootcamp is a short courses on one or more of the topic areas listed. Most TSP courses are taught in a 'bootcamp' 3-week format in late July and early August .
Department: https://statistics.berkeley.edu/
Division: https://data.berkeley.edu/
To see the Current Contract between the University of California and the Unit 18 Lecturers, please visit:: https://ucnet.universityofcalifornia.edu/labor/bargaining-units/ix/contract.html
Statistics Course Descriptions: https://guide.berkeley.edu/courses/stat/
Qualifications
Basic qualifications (required at time of application)
The minimum qualification at the time of hire is the completion of a Masters degree (or equivalent international degree).
Additional qualifications (required at time of start)
Additional qualifications include evidence of college level instructional experience.
Preferred qualifications
Preference for a PhD (or equivalent international degree) in Statistics, Applied Mathematics, or related field. Documented experience in teaching Statistics or a related field at the college level.
Application Requirements
Document requirements
  • Curriculum Vitae - Your most recently updated C.V.
  • Cover Letter
  • Statement of Teaching Philosophy and Experience
  • Teaching Documentation - Teaching materials and/or student evaluations.
  • Copy of Transcript (Optional)

Reference requirements
  • 2-3 required (contact information only)
Apply link: https://aprecruit.berkeley.edu/JPF04974
Help contact: recruit@stat.berkeley.edu
About UC Berkeley
UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy ( APM 210 1-d ). These values are embedded in our Principles of Community , which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.
The University of California, Berkeley 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, or protected veteran status.
For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy .
In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.
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.
Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.
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 or discrimination, as defined by the employer.
  • UC Sexual Violence and Sexual Harassment Policy
  • UC Anti-Discrimination Policy
  • APM - 035: Affirmative Action and Nondiscrimination in Employment

Job location
Berkeley, CA

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