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Computer Science Major Jobs in California (NOW HIRING)

Staffwing Inc

Lead Data Scientist

San Jose, CA · On-site

Company Description One of our direct client, a BigData & Data Science major is looking for a Lead ... Expertise in mathematics and applied statistics, computer science, and visualization capabilities.

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Computer Science Major information

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$55.8K

$82K

$96.7K

How much do computer science major jobs pay per year?

As of Jun 8, 2026, the average yearly pay for computer science major in California is $82,020.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,500.00 and $92,300.00 per year, depending on experience, location, and employer.

What types of collaborative projects can Computer Science majors expect to work on during internships or entry-level roles?

Computer Science majors often collaborate on projects such as developing new software features, debugging existing applications, or creating internal tools with cross-functional teams. These projects typically involve working closely with other developers, product managers, and designers, providing valuable experience in teamwork and agile methodologies. Such collaboration not only builds technical skills but also enhances communication and problem-solving abilities, which are highly valued in the tech industry.

What is the difference between Computer Science Major vs Software Developer?

AspectComputer Science MajorSoftware Developer
Required CredentialsDegree in Computer Science or related fieldTypically a degree in Computer Science, Software Engineering, or related field; certifications helpful
Work EnvironmentAcademic settings, research labs, tech companiesCorporate, startup, or freelance software development environments
Industry UsageEducational programs, research, and developmentBuilding, testing, and maintaining software applications
Common Search/ComparisonEducational background, skills, career pathsJob roles, skills, salary expectations

While a Computer Science Major provides foundational knowledge and credentials, a Software Developer applies those skills to create and maintain software in various work environments. Both roles often overlap, but the major is more academic, whereas the developer role is more practical and project-focused.

What are the key skills and qualifications needed to thrive as a Computer Science Major, and why are they important?

To thrive as a Computer Science Major, you need a strong grasp of programming languages, algorithms, and foundational mathematics, typically supported by coursework in computer science or related fields. Familiarity with tools such as integrated development environments (IDEs), version control systems like Git, and possibly certifications in programming or cloud technologies is advantageous. Analytical thinking, problem-solving, and effective communication are essential soft skills that help students excel in both collaborative and independent projects. These combined abilities ensure success in coursework, internships, and future careers in software development, research, or technology-related roles.

What is a Computer Science major?

A Computer Science major is an undergraduate program that focuses on the study of computers, computational systems, and software. Students in this major learn programming languages, algorithms, data structures, computer architecture, and topics like artificial intelligence and cybersecurity. The major prepares students for a wide range of technology careers, including software development, data analysis, and IT. Coursework often includes both theoretical foundations and practical application through projects and internships.
What cities in California are hiring for Computer Science Major jobs? Cities in California with the most Computer Science Major job openings:
Computer Science Major jobs near you

Lead Data Scientist

Staffwing Inc

San Jose, CA • On-site

Full-time

Posted 3 days ago

Job description

Company Description
One of our direct client, a BigData & Data Science major is looking for a Lead Data Scientist to join their team of Data Scientists. This is a permanent position with client.
Job Description
Responsibilities:
Work on small and large data sets of structured, semi-structured, and unstructured data to discover hidden knowledge about the client's business and develop methods to leverage that knowledge for their business.
Identify and solve business challenges working closely with cross-functional teams, such as Delivery, Business Consulting, Engineering and Product Management.
Develop prescriptive and predictive statistical, behavioral or other models via machine learning and/or traditional statistical modeling techniques, and understand which type of model applies best in a given business situation.
Drive the collection of new data and the refinement of existing data sources.
Analyze and interpret the results of product experiments.
Collaborate with the engineering and product teams to develop and support our internal data platform to support ongoing statistical analyses.
Qualifications
  • A proven passion for generating insights from data.
  • Comfort manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources.
  • Expertise in mathematics and applied statistics, computer science, and visualization capabilities.
  • Curious and an excellent learner. Able to research, explore and acquire working knowledge in new areas.
  • A complete understanding of standard statistical techniques like MLE/QMLE, GMM, OLS/GLS, univariate and multivariate time series models (e.g. ARIMA, DLM's, VAR's), regression model diagnostics for time series and cross sectional data, along with Machine Learning methodologies like Random Forests, SVM's and Boosting/Bagging. The ideal candidate would know when and how to apply these alternative methodologies, and the relative advantages/disadvantages of each for a particular business case.
  • Expert knowledge of an analysis tool/statistical package such as R, JMP, Stata, SPSS, SAS, Matlab
  • Highly effective communicator; able to communicate complex quantitative analysis in a clear, precise & actionable way that is meaningful to general business audience and credible to client's data scientists.
  • Fluency with at least one scripting language such as Python, Java, or C/C++.
  • Expertise with relational databases and SQL. NoSQL is a big plus.

REQUIREMENTS:
  • MS or Ph.D. preferred in a quantitative Social Science (e.g. Economics) or Statistics with a substantive field interest.
  • At least 5 years' experience in business, consulting or applied field research with project lead responsibilities for solving analytics problems using quantitative approaches.
  • Demonstrated track record producing models and actionable insights using advanced statistical methods.
  • Experience working with large data sets using distributed computing tools, e.g. Map/Reduce, Hadoop, Hive, etc.

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

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