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Computer Science Statistics Jobs in San Jose, CA

(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 ...

Reddit

Senior Data Scientist

San Francisco, CA · On-site +1

$229K - $267K/yr

Master's degree in Data Science, Statistics, Machine Learning, Operations Research, Economics, Computer Science, Engineering (any field), or a related quantitative discipline and two (2) years of ...

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All JobsComputer Science Statistics JobsComputer Science Statistics Jobs in San Jose, CA

Computer Science Statistics information

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$44K

$143.8K

$230.3K

How much do computer science statistics jobs pay per year?

As of Aug 24, 2026, the average yearly pay for computer science statistics in San Jose, CA is $143,848.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,400.00 and $159,400.00 per year, depending on experience, location, and employer.

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 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.

Is statistics useful in computer science?

Statistics is highly useful in 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 for many computer science roles.

What are popular job titles related to Computer Science Statistics jobs in San Jose, CA?

For Computer Science Statistics jobs in San Jose, CA, the most frequently searched job titles are:

What job categories do people searching Computer Science Statistics jobs in San Jose, CA look for?

The top searched job categories for Computer Science Statistics jobs in San Jose, CA are:

What cities near San Jose, CA are hiring for Computer Science Statistics jobs?

Cities near San Jose, CA with the most Computer Science Statistics job openings:

Computer Science Statistics jobs near you
Infographic showing various Computer Science Statistics job openings in San Jose, CA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 3% Contract, and 1% Nights. Highlights an 79% Physical, 2% Hybrid, and 19% Remote job distribution, with an average salary of $143,848 per year, or $69.2 per hour.

Data Scientist

(unknown company)

Sunnyvale, CA

Contractor

Re-posted 15 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

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