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Computer Science Statistics Jobs in California (NOW HIRING)

(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 ...

(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 ...

Apple

App Store Data Scientist

Cupertino, CA · On-site

Experience in a digital subscription business or for an e-commerce platform Masters degree or PhD in Computer Science, Statistics, Mathematics, Engineering, Economics or related field 5+ years of ...

PROPRIUS

Data Scientist

Sunnyvale, CA · On-site

$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 ...

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 ...

Apple

Data Scientist, AIML Data Scientist

Cupertino, CA · On-site

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

Redolent, Inc

Data Scientist

San Bruno, CA · On-site

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 ...

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How much do computer science statistics jobs pay per year?

As of Jun 5, 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 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 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 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.
More about Computer Science Statistics jobs
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

Data Scientist

(unknown company)

Sunnyvale, CA • On-site

Contractor

Posted 25 days ago

Job description

Company 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.
Qualifications
Additional Information
All your information will be kept confidential according to EEO guidelines.

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