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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 ...

PROPRIUS

Data Scientist

Sunnyvale, CA

$130K - $160K/yr

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. * Ability to work ...

Apple

Data Scientist, AIML Data Scientist

Cupertino, CA · On-site

Minimum Qualifications Bachelors degree in Computer Science, Statistics, Mathematics, Engineering, Economics or related field. 4+ years of experience in data science with proven skills in developing ...

BeeGenius

Data Scientist

Los Angeles, CA · On-site

D. in Computer Science, Statistics, or a related field • Proficiency in programming languages such as Python or R • Experience with machine learning algorithms and statistical modeling techniques ...

Genesis10

Computational Scientist

South San Francisco, CA · On-site

$65.18/hr

PhD degree in quantitative field (e.g., Computational Biology, Bioinformatics, Computer Science, Statistics, Mathematics) or in the physical or life sciences (e.g., Chemistry, Biology) with a strong ...

Exelixis

Senior AI Data Scientist I

Alameda, CA · On-site

Bachelor's degree in Data Science, Computer Science, Statistics, Biostatistics, Bioinformatics, or a related quantitative field and a minimum of 7 years of experience; or, * Master's degree in Data ...

Exelixis

Senior AI Data Scientist I

Alameda, CA

Bachelor's degree in Data Science, Computer Science, Statistics, Biostatistics, Bioinformatics, or a related quantitative field and a minimum of 7 years of experience; or, * Master's degree in Data ...

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Computer Science Statistics information

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$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.

Data Scientist

(unknown company)

Sunnyvale, CA

Contractor

Posted 12 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.




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