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

Sr. Data Scientist II

San Mateo, CA · On-site

$175K - $205K/yr

Advanced degree (MS or PhD) in Statistics, Economics, Computer Science, Engineering, Sciences, or another quantitative field. * 8+ years of experience with Masters or 5+ years of experience with PhD

Senior Data Analyst

San Mateo, CA · On-site

$52.23 - $70.66/hr

Requires Masters's degree in Masters of Statistics or related field plus 6 months of experience * Requires proficient knowledge of: * Python, R, Git, GitHub, Pandas, Seaborn, Jupyter Notebooks ...

Showing results 41-60

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 Sep 5, 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.

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.

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.

Is a master's in statistics a good idea?

A master's in statistics prepares individuals for roles such as data analyst, statistician, or data scientist, often requiring proficiency in programming languages like R or Python and knowledge of statistical methods. It can enhance job prospects in industries like finance, healthcare, and technology, where data-driven decision making is valued.

What is the highest paying job in statistics?

The highest paying jobs in statistics are often roles like Chief Data Officer, Quantitative Research Director, or Data Science Director, which typically require extensive experience, advanced skills in programming and analytics, and leadership responsibilities. These positions can offer salaries exceeding $150,000 annually, especially in finance, technology, and consulting industries.

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 August 2026, with employment types broken down into 78% Full Time, 21% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $102,432 per year, or $49.2 per hour.

Principal Data Scientist

Warner Bros. Discovery

San Francisco, CA • On-site

Full-time

Medical, Life, Retirement, PTO

Posted 19 days ago


Warner Bros. Discovery rating

7.7

Company rating: 7.7 out of 10

Based on 55 frontline employees who took The Breakroom Quiz

32nd of 78 rated media


Job description

Welcome to Warner Bros. Discovery... the stuff dreams are made of.
Who We Are...
When we say, "the stuff dreams are made of," we're not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD's vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what's next...
From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive.
Every great story has a new beginning, and yours starts here.
Welcome to Warner Bros. Discovery... the stuff dreams are made of.
Who We Are...
When we say, "the stuff dreams are made of," we're not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD's vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what's next...
From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive.
Principal Research Scientist (Recommender Systems)
The Job
The Principal Research Scientist (Recommender systems) will lead large and complex technical projects by developing innovative machine learning algorithms and directing the work of talented Machine Learning (ML) and Artificial Intelligence (AI) researchers and engineers towards building scalable ML solutions for HBO Max. This role will be focused on advancing personalization and recommender systems and search to drive user experience and growth.
The person in the role will partner closely with product, engineering, content, marketing, and research stakeholders across WBD to identify ML opportunities, accelerate AI innovation, and to ensure delivery of impactful solutions for the business.
The Daily
  • Develop innovative data science solutions that utilize machine learning and deep learning algorithms, statistical and quantitative modeling approaches to support product, engineering and marketing initiatives.
  • Be a hands-on leader to mentor the team in the latest machine learning approaches, and to introduce new technologies and processes.
  • Partner with ML engineering leadership to design and develop scalable machine learning systems to accelerate the learning cycle.
  • Identify data science opportunities that deliver business value.
  • Formulate key areas of the ML/AI roadmap, and educate both internal and external stakeholders at all levels to drive implementation and measurement.
  • Provide thought leadership to enable ML/AI applications.
  • Develop and evangelize best practices for scoping, building, validating, deploying, and monitoring ML/AI products.
  • Prepare and present ML modeling results and analytical insights that help drive the business to senior leadership.

The Essentials
  • Masters in Computer Science, Mathematics, Physics, Engineering, Statistics, Operations Research, or other equivalent quantitative fields (PhD preferred)
  • 8 + years of work experience in Machine Learning, AI and Data Science with a proven track record to drive innovation and business impacts
  • Strong experience in Recommender systems, personalization systems, collaborative filtering and information retrieval systems.
  • Strong machine learning, deep learning, and statistical modeling expertise, such as causal inference modeling, ensembles, neural networks, NLP, reinforcement learning and bandits
  • Familiarity and experience with modern large language model based techniques for recommender systems and personalization.
  • Advanced knowledge of SQL and experience with big data platform (AWS, Snowflake, Spark, Google Cloud etc.)
  • Proficiency in machine learning and deep learning languages and platforms (Python, TensorFlow, Keras, PyTorch etc.)
  • Experience in deploying machine learning algorithms and advanced modeling solutions
  • Proven ability to deliver results in a fast-paced, high-energy environment
  • Strong communication skills and the ability to explain complex analysis and algorithms to non-technical audience
  • Works effectively cross functional teams to build trusted partnership
  • Working experience in digital media and entertainment industry preferred

How We Get Things Done...
This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview.
Championing Inclusion at WBD
Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, without regard to race, color, religion, national origin, gender, sexual orientation, gender identity or expression, age, mental or physical disability, and genetic information, marital status, citizenship status, military status, protected veteran status or any other category protected by law.
If you're a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request.
In compliance with local law, we are disclosing the compensation, or a range thereof, for roles in locations where legally required. Actual salaries will vary based on several factors, including but not limited to external market data, internal equity, location, skill set, experience, and/or performance. Base pay is just one component of Warner Bros. Discovery's total compensation package for employees. Pay Range: $227,850.00 - $423,150.00 salary per year. Other rewards may include annual bonuses, short- and long-term incentives, and program-specific awards. In addition, Warner Bros. Discovery provides a variety of benefits to employees, including health insurance coverage, an employee wellness program, life and disability insurance, a retirement savings plan, paid holidays and sick time and vacation.
If you're a qualified candidate with an arrest or conviction record, please know that your application will be considered in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

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