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Full Time Computer Science Jobs in California (NOW HIRING)

Computer Engineer II

San Diego, CA ยท On-site

$113K - $133K/yr

Apply the principles and techniques of computer science, engineering, and mathematical analysis to ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Computer Engineer III

San Diego, CA ยท On-site

$113K - $133K/yr

Apply the principles and techniques of computer science, engineering, and mathematical analysis to ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Computer System Analyst

Lompoc, CA ยท On-site

$130K - $139K/yr

Bachelor's degree in Engineering, Computer Science, Information Systems or related field ... ARES offers a competitive compensation and benefit package. Full time employees may participate in:

CA ยท On-site

The Department of Computer Science and Information Systems at LAVC consists of two full-time ... faculty members and approximately 12 adjunct faculty. The department offers industry-aligned ...

This is an intensive 10-week, full-time small cohort program designed to provide direct mentorship from experienced professionals in computer science, data science, artificial intelligence, and ...

This is an intensive 10-week, full-time small cohort program designed to provide direct mentorship from experienced professionals in computer science, data science, artificial intelligence, and ...

(USA) Director, Data Science

Mountain View, CA ยท On-site

$169K - $338K/yr

... full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high ... Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science ...

Showing results 21-40

Full Time Computer Science information

What is a full time computer science job?

Full time computer science jobs are positions where individuals work at least 35-40 hours per week in roles that involve the application of computer science principles. These roles can include software developer, systems analyst, data scientist, cybersecurity specialist, and more. Full time positions often include benefits such as health insurance, paid time off, and retirement plans. They typically require a degree in computer science or a related field, and may involve working for technology companies, financial institutions, research organizations, or government agencies.

What does a typical day look like for a full time computer science professional and how do they collaborate with other teams?

A typical day for a full-time computer science professional often involves a mix of coding, problem-solving, and meetings. You may spend several hours developing, testing, and debugging software, as well as reviewing code written by colleagues. Collaboration is key, as you frequently work with cross-functional teams such as product managers, designers, and quality assurance to ensure that projects meet user requirements and are delivered on time. Clear communication and teamwork are essential, especially when resolving issues or integrating new features. This structure fosters a dynamic environment where learning and adapting to new technologies is encouraged.

What are the key skills and qualifications needed to thrive as a computer scientist, and why are they important?

To thrive as a Computer Scientist, you need a solid background in algorithms, programming, and mathematics, typically supported by a degree in computer science or a related field. Familiarity with programming languages (such as Python, Java, or C++), version control systems like Git, and often certifications in areas like cloud computing or data science are commonly required. Analytical thinking, problem-solving, and effective teamwork are soft skills that set individuals apart in this role. These abilities are vital for developing innovative solutions, collaborating on complex projects, and adapting to rapidly evolving technology.

What is the difference between Full Time Computer Science vs Software Developer?

AspectFull Time Computer ScienceSoftware Developer
Required CredentialsBachelor's or higher in Computer Science or related fieldOften similar; degree preferred but not always required
Work EnvironmentAcademic, research, or corporate settingsTech companies, startups, or freelance projects
Industry UsageUniversities, research labs, tech firmsSoftware companies, IT services, app development
Common Search IntentEducational paths, career options in CSJob roles, skills, and project work in software development

Full Time Computer Science typically refers to a degree-focused, academic or research-oriented role requiring formal education. Software Developer roles are more practical, project-based, and often focus on coding and application development. While overlapping in skills and credentials, Full Time Computer Science emphasizes foundational knowledge, whereas Software Developer positions are more about applying that knowledge in real-world projects.

Are computer science full time majors still in demand?

Computer science full-time majors remain in high demand due to the ongoing growth of technology industries, software development, data analysis, and cybersecurity. Graduates with programming skills, knowledge of algorithms, and experience with tools like Python, Java, or cloud platforms are particularly sought after across various sectors.

Are full time computer science majors still in demand?

Full-time computer science majors are currently in high demand due to the growth of technology industries, software development, data analysis, and cybersecurity. Employers seek candidates with programming skills, knowledge of algorithms, and experience with tools like Python, Java, and cloud platforms, making it a strong field for job stability and opportunities.

Is computer science a stressful job?

Computer science jobs can be stressful due to tight deadlines, complex problem-solving, and rapid technological changes. However, stress levels vary depending on the specific role, work environment, and individual workload management skills.

Is full time computer science a stressful job?

Full-time computer science roles can be stressful due to tight deadlines, complex problem-solving, and rapid technological changes. However, stress levels vary depending on the specific position, work environment, and individual workload management skills.

What are the top 3 jobs in full time computer science?

The top full-time computer science jobs include software developer, systems analyst, and cybersecurity analyst. These roles typically require strong programming skills, knowledge of computer systems, and often relevant certifications or degrees. They are in high demand across various industries due to ongoing technological growth.

What are the most commonly searched types of Computer Science jobs in California?

The most popular types of Computer Science jobs in California are:

What cities in California are hiring for Full Time Computer Science jobs?

Cities in California with the most Full Time Computer Science job openings:

Infographic showing various Full Time Computer Science job openings in California as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, 2% Contract, and 1% Nights. Highlights an 76% Physical, 2% Hybrid, and 22% Remote job distribution.

Data Science

Adidev Technologies Inc

San Francisco, CA โ€ข On-site

Full-time

Re-posted 18 hours ago


Job description

Adidev Technologies Inc
www.adidevtechnologies.com
URGENT HIRE - HIRING PROCESS - 24-48 HOURS!
Adidev Technologies is seeking 1-2 yrs of relevant experience in Data Science. A project can last anywhere from 6 months to 18 months. Salary varies depending on experience, and we are in search of candidates looking to start as soon as possible. Excellent written and oral communication are required as is the ability to work well in a team environment.
If you are looking for a new challenge and are ready to make an impact on a growing team, then this will be a perfect fit. As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and debugging large-scale applications for one of our well-known clients.
Adidev Technologies is a growing software consulting company that is constantly expanding. As we are working with renowned clients and ready to take on new ones, we are seeking brilliant software engineers. Not only do we offer a great team to work with, but we also offer you an opportunity to make an immediate impact and get rewarded accordingly
Job Description
  • Demonstrated experience using machine learning, deep learning, statistical methodology, and simulation/optimization modeling in geospatial, network topography, recommendation systems, environmental systems, and/or agronomic problems.
  • Strong foundation in Python programming in a cloud environment.
  • Strong quantitative abilities, distinctive problem-solving, and excellent analysis skills
  • Expertise in data wrangling using SQL,
  • Practical knowledge and experience with cloud-computing systems and platforms, including the routine deployment of pipelines through Kubernetes
  • Fluency in querying/extracting/aggregating data via SQL scripting.
  • Extract, load and transform data (ETL) from structured and unstructured sources
  • Apply Natural Language Processing and Computer Vision to solve business use cases,
  • Strong skills in scientific data analyses, modeling, visualization and communication of results.
  • Knowledge of Python libraries (NumPy, Pandas, SciKit-Learn, TensorFlow, PyTorch), Spacy, MongoDB, PostgreSQL, Flask, streamlet and a good knowledge of data pipelines construction
  • Ph.D., M.S. or B.S. in Computer Science, Computational Physics, Operations Research, Geospatial Sciences, Remote Sensing Science, Environmental Sciences, Computational Astronomy or related scientific discipline

Must have
  • Understanding of various machine learning algorithms (e.g. SVM, Random Forests, Gradient Boosting, Log-Log regression, XGBoost, Lasso, Ridge, Clustering techniques, Neural Networks and others)
  • Regression (e.g. ? Linear/Logistic/MNL/Mixed Effects/Regularization)
  • Classification (K-means, Hierarchical, Latent Class, DBScan, SVM)
  • Dimension Reduction techniques (Principal Component analysis, Singular Value Decomposition etc.)
  • Optimization (Linear programming, Stochastic Gradient Descent, Genetic Algorithm etc.)
  • Experience with neural network approaches to text classification CNN, RNN, LSTM,Keras
  • Machine Learning algorithms? Neural Networks, Naรฏve Bayes, Bagging & Boosting, Random Forest
  • Distributed computing tools and cloud technology (AWS)

QUALIFICATIONS
  • Degree in Data Science, Computer Science, Engineering, Math, or Statistics preferred
  • At least 2 yrs of relevant experience in Data Science

SKILLS
  • SQL, statistical modeling, Feature engineering, Data visualization, Deploying models to production, Python programming, AWS, Domains(Healthcare/ Manufacturing/ Marketing/ Financial/ Telecommunication), powerbi/tableau, data warehouse

Benefits
  • Competitive Salary
  • Paid Relocation
  • Remote Support
  • Guaranteed Regular Salary Reviews
  • Job Type: W2 or Contract 1099 (full-time - 40 hours)