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Computer Science Statistics Jobs in California (NOW HIRING)

Brilent

Senior Data Scientist

San Mateo, CA · On-site

MS/PhD in computer science, statistics, or operations research or related technical discipline * Deep knowledge of machine learning, statistics, optimization or related field * Proficient in SQL, R ...

Apple

Data Scientist

Cupertino, CA · On-site

Minimum Qualifications MS/PhD in Computer Science, Statistics, Physics, Operations Research, or similar quantitative domain 3+ years experience with data analysis at web scale or relevant work ...

Conviva

Senior Data Scientist

Foster City, CA

$180K - $230K/yr

This is a hands-on, technically deep role ideal for individuals with a background in Computer Science or Statistics who are passionate about building scalable, intelligent systems - and who actively ...

Apple

Video Content Data Scientist

Culver City, CA · On-site

Minimum Qualifications Bachelors degree in Computer Science, Statistics, Mathematics, Engineering, or related field. 4 years experience extracting insights from large datasets, specifically employing ...

Apple

FindMy Data Scientist

Cupertino, CA · On-site

Minimum Qualifications MS/PhD in Computer Science, Statistics, Physics, Operations Research, or similar quantitative domain; (will consider MS with significant related experience) 3+ years experience ...

Intuit

Manager 2, AI Science

San Diego, CA

$211K - $285K/yr

Qualifications * BS, MS, or PhD in an appropriate technology field (Computer Science, Statistics, Applied Math, Econometrics, Operations Research, Physics, etc.) * 2+ plus years experience as an ...

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All JobsComputer Science Statistics JobsComputer Science Statistics Jobs in California

Computer Science Statistics information

See California salary details

$37K

$121.1K

$193.9K

How much do computer science statistics jobs pay per year?

As of Jul 22, 2026, the average yearly pay for computer science statistics in California is $121,131.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,200.00 and $134,200.00 per year, depending on experience, location, and employer.

What is the highest paying job with a statistics degree?

Data scientist roles are among the highest paying jobs for individuals with a statistics degree, often offering six-figure salaries. These positions typically require strong analytical skills, proficiency in programming languages like Python or R, and experience with machine learning and data visualization tools.

What is a Computer Science Statistics job?

A Computer Science Statistics job involves applying statistical methods and data analysis techniques to solve problems in computing, artificial intelligence, and software development. Professionals in this field work with large datasets, develop predictive models, and optimize algorithms for machine learning, cybersecurity, and data science applications. They may work in industries such as finance, healthcare, or technology, using statistical reasoning to enhance decision-making and efficiency. Strong programming skills, knowledge of probability theory, and experience with data visualization are typically required.

What jobs do most CS majors get?

Computer Science majors often pursue roles such as software developers, data analysts, systems analysts, cybersecurity specialists, and database administrators. These positions typically require programming skills, knowledge of algorithms, and familiarity with tools like Java, Python, or SQL, and often offer entry-level opportunities in tech companies, finance, healthcare, and other industries.

Is computer science dead due to AI?

Computer science remains a vital field for roles involving AI development, data analysis, and software engineering. AI advances create new opportunities for computer scientists to develop algorithms, machine learning models, and innovative technologies, making the discipline more relevant than ever.

Is statistics useful for computer science?

Statistics is highly useful for computer science, especially in data analysis, machine learning, and algorithm development. It provides essential tools for interpreting data, making predictions, and optimizing systems, which are core skills in many computer science roles.

What are the most common projects or tasks for professionals in Computer Science Statistics roles?

Professionals in Computer Science Statistics roles frequently work on projects involving data analysis, predictive modeling, and the development of algorithms to extract insights from large datasets. Their typical responsibilities include cleaning and preparing data, designing and running statistical tests, coding custom analytics solutions, and visualizing results for reports or presentations. Collaboration with teams such as data engineers, software developers, and business analysts is common to ensure that statistical models effectively address real-world business problems. This role offers opportunities to work across diverse industries, allowing for continual learning and skill development.

What are the key skills and qualifications needed to thrive in the Computer Science Statistics position, and why are they important?

To excel in a Computer Science Statistics role, a strong background in both statistical analysis and computer science principles, usually backed by a degree in a related field, is essential. Expertise in programming languages like Python or R, experience with statistical software, and familiarity with databases or machine learning libraries are highly valued. Analytical thinking, attention to detail, and effective communication are key soft skills that differentiate top performers in this position. Mastery of these skills enables professionals to accurately interpret data, develop robust analytical solutions, and clearly convey complex findings to both technical and non-technical stakeholders.

What are the most commonly searched types of Computer Science Statistics jobs in California? The most popular types of Computer Science Statistics jobs in California are:
What are popular job titles related to Computer Science Statistics jobs in California? For Computer Science Statistics jobs in California, the most frequently searched job titles are:
What job categories do people searching Computer Science Statistics jobs in California look for? The top searched job categories for Computer Science Statistics jobs in California are:
What cities in California are hiring for Computer Science Statistics jobs? Cities in California with the most Computer Science Statistics job openings:
Computer Science Statistics jobs near you
Infographic showing various Computer Science Statistics job openings in California as of July 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 67% In-person, and 33% Hybrid job distribution, with an average salary of $121,131 per year, or $58.2 per hour.
Senior Data Scientist

Senior Data Scientist

Brilent

San Mateo, CA • On-site

Full-time

Medical, Dental

Posted 19 days ago

Job description

Company Description
Brilent is a data science tech company developing a SaaS solution to help recruiters quickly and effectively identify the right talent to hire. The Brilent team brings together deep experience in machine learning, and data science from leading edge companies to solve the growing problem of leveraging big data to effectively identify and connect with the right talent. With the Brilent solution, pre-screening candidates take minutes as opposed to hours or days thus shortening the time-to-hire, and increasing the number of candidate placements.
WHY US?
Brilent is a well-funded, award winning startup located in the Silicon Valley. We are building the next-generation, big data talent platform that aims to revolutionize the hiring ecosystem around the world. Our team consists of machine learning and data science experts and recruiting veterans from leading edge companies such as Facebook, LinkedIn, and Microsoft. We are looking for exceptional people to scale our business and build innovative web and mobile products. Come join the revolution!
Job Description
Responsibilities
  • Develop models and algorithms that are part of our core technology
  • Perform large-scale data analysis, find interesting patterns and translate them into product improvements
  • Experiment with different machine learning algorithms and statistical techniques and develop new product initiatives
  • Collaborate with engineers to implement and deploy scalable solutions
  • Provide thought leadership and influence the direction of the business by effectively communicating results and actionable insights to cross-functional groups

Qualifications
  • MS/PhD in computer science, statistics, or operations research or related technical discipline
  • Deep knowledge of machine learning, statistics, optimization or related field
  • Proficient in SQL, R, Python or Java
  • Excellent written and verbal communication skills
  • Attitude to thrive in a fun, fast-paced start-up environment

Additional Information
We offer competitive salaries, stock options, and full benefits, including health and dental coverage, all meals included, snacks, travel reimbursement, etc.

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