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Computer Science Statistics Jobs in California (NOW HIRING)

YO AI Labs

Data Scientist

Glendale, CA

Bachelors in Statistics, Economics, Computer Science, Engineering, Mathematics, Physics, or a related field + 7 years of experience with an emphasis on experimentation or causal inference. * Strong ...

Apple

CVML Algorithm Engineer

Sunnyvale, CA · On-site

Data Science, Electrical Engineering, Computer Science, Statistics) and a minimum of 3 years relevant industry experience Proficiency in Python Solid background in machine learning and ML framework.

Ignite Digital

Mid Data Scientist

San Diego, CA

Education: Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field (Ph.D. preferred) * 2 to 5+ years of applied experience in data science ...

Scopely

Associate Data Scientist

Sunnyvale, CA · On-site +1

$174K - $202K/yr

Master's degree or foreign equivalent in Computer Science, Data Analytics Engineering, Data Science, Statistics, or related quantitative field (or foreign equivalent). 1 year of experience in the job ...

YO AI Labs

Data Scientist

Glendale, CA

Bachelors in Statistics, Economics, Computer Science, Engineering, Mathematics, Physics, or a related field + 7 years of experience with an emphasis on experimentation or causal inference. * Strong ...

Apple

App Store Data Scientist

Cupertino, CA

$175K - $311K/yr

... Computer Science, Statistics, Mathematics, Engineering, Economics or related field Minimum Qualifications 5+ years of professional experience in data science, machine learning, or digital product ...

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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.
Data Scientist - Multiple Positions (2)

Data Scientist - Multiple Positions (2)

ALR Partners, LLC

Manhattan Beach, CA • On-site

Full-time

Posted 27 days ago

Job description

Company Description
ABOUT OUR CLIENT:
Our Client has launched a new digital business. A digital innovation, product development, and commercialization firm. This first-of-its-kind firm will bring unique capabilities to create and grow disruptive digital products and platforms. Our Client goes beyond providing consulting, design, and technology services to form strategic venture teams with its clients in order to rapidly develop, launch, and grow transformational digital products, platforms, and businesses.
Job Description
We are looking for an Data Scientist who is passionate about building the data foundation, products and capabilities to help drive the rapid growth of new digital business. Our purpose is to help companies imagine, bring-to-life and launch digital businesses and solutions that have transformative customer impact. To do this, we've assembled a group of world-class business/strategy, product design, and technology professionals with deep knowledge and experience in digital businesses and solutions - from mobile applications and ecommerce, to new and emerging digital solutions yet to be realized.
As a data scientist, you will use your skills to:
• Demonstrate and communicate a passion about building the data foundation, products and capabilities that drive business growth
• Build innovative data products: e.g., real-time services, such as personalization; A/B testing; audience segmentation; unified profile; commerce graph; as well as a big data platform on Hadoop and Spark with real-time data ingestion and processing.
• Conceptualize, define, and oversee regular updates around key product metrics as the company's challenges and data evolve.
• Execute descriptive analyses, ranging from identifying product opportunities to understanding user behavior.
• Cultivate strong collaborations with product, engineering, senior stakeholders.
• Share your technical solutions and product ideas with the BCG DV team through design review, pair programming, code reviews, and tech talks.
• Balance competing priorities while adhering to deadlines and aligning resources with value demands
Qualifications
As a data scientist, you will need:
• 5+ years of experience in analytical field
• Experience in statistical modeling and/or machine learning
• Experience with a programming language like Python, Java, R and C++
• Ability to translate data insights into product decisions
• Enthusiasm for learning new things and going deep into detailed data analysis
• Willingness to teach others
• Workflow flexibility and strong teamwork skills
• MS in Computer Science, Statistics, Applied Mathematics, or related areas
Additional valued capabilities include:
• PhD in Computer Science, Statistics, Applied Mathematics, or related areas
• 2 years of relevant work experience, including expertise in recommender systems, personalization, collaborative filtering and content based filtering
• Experience with distributed systems such as Hadoop/MapReduce, Spark, streaming data processing, cloud architecture
• Experience with Python, Unix, or statistical software packages (R, SAS) for data manipulation
• Familiarity with SQL or other querying language
• Ability to work with dashboard and visualization software such as Tableau, D3, Mixpanel, Flurry or Google Analytics
• Confidence with analytical tools such as Excel, R, Python, Stata,or Matlab
Additional Information
*Must work on-site
*Environment is super causal, similar to a start-up tech feel. Very beachy California style. This is an In-house digital agency.
*Perks: Cater luncheons, open work desk environment, comfortable work stations included ergonomic styles

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