ZipRecruiter

Log In

1

Computer Science Statistics Jobs in California (NOW HIRING)

(unknown company)

Data Scientist

Sunnyvale, CA

Sunnyvale Duration: 6 Months + Minimum Qualifications - PhD in Computer Science, Statistics or related field; OR a Master's degree or equivalent in Computer Science, Statistics or related field and 2 ...

(unknown company)

Data Scientist

Sunnyvale, CA · On-site

Sunnyvale Duration: 6 Months + Minimum Qualifications - PhD in Computer Science, Statistics or related field; OR a Master's degree or equivalent in Computer Science, Statistics or related field and 2 ...

next page

Showing results 1-20

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 Aug 13, 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.

Do computer science statisticians make a lot of money?

Computer science statisticians typically earn competitive salaries, especially with advanced skills in data analysis, programming, and statistical software. Salaries vary based on experience, education, and location, but the field generally offers strong earning potential compared to many other roles in technology and data science.

What is a computer science statistics?

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 computer science statistics majors get?

Computer science statistics majors often find employment as data analysts, data scientists, machine learning engineers, and software developers. These roles typically require skills in programming languages like Python or R, statistical analysis, and data visualization tools. Many positions are available in technology, finance, healthcare, and consulting industries.

Is statistics useful in computer science?

Statistics is highly useful in computer science, especially for 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 do computer science statistics professionals do?

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 skills and qualifications are needed for computer science statistics?

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 August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 14% Part Time, 2% Temporary, 2% Contract, and 1% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $121,131 per year, or $58.2 per hour.

Data Scientist

(unknown company)

Sunnyvale, CA

Contractor

Re-posted 4 days ago

Job description

Job Description

Position: Data Scientist

Location: Sunnyvale


Duration: 6 Months + 



Minimum Qualifications 

- PhD in Computer Science, Statistics or related field; OR a Master's degree or equivalent in Computer Science, Statistics or related field and 2 years of related experience. 

- Knowledge of machine learning, information retrieval, data mining, statistics, NLP or related field. 

- Programming skills in one of the following languages: Java, Scala, C/C++. 

- Knowledge of one of the scripting languages such as Python or Perl. 

- Experience analyzing and interpreting the results of product experiments. Knowledge of statistical languages such as R. 

- Experience working with large data sets and distributed computing tools (Map/Reduce, Hadoop, Hive, or Spark). 

- Working knowledge of Relational Data Base Systems and SQL. 

- Experience managing end-to-end machine learning pipeline from data exploration, feature engineering, model building, performance evaluation, and online testing with big data set. 

- Excellent communications and organizational skills 

- Prior experience in this area with eCommerce or Online Retail would be a plus.




Additional Information

All your information will be kept confidential according to EEO guidelines.

Apply