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Best Computer Science Jobs in Glendale, CA (NOW HIRING)

Omnicom

Director, Data Science

Los Angeles, CA · Hybrid

... mathematics, computer science, statistics or related field, and 7-10 years of experience in ... the best solutions to everything we do. We strongly believe that celebrating what makes us ...

Omnicom

Director, Data Science

Los Angeles, CA · On-site

... mathematics, computer science, statistics or related field, and 7-10 years of experience in ... the best solutions to everything we do. We strongly believe that celebrating what makes us ...

YO AI Labs

Data Scientist

Glendale, CA

Bachelors in Statistics, Economics, Computer Science, Engineering, Mathematics, Physics, or a ... Demonstrated experience mentoring colleagues on best practices and technical concepts for building ...

YO AI Labs

Data Scientist

Glendale, CA

Bachelors in Statistics, Economics, Computer Science, Engineering, Mathematics, Physics, or a ... Demonstrated experience mentoring colleagues on best practices and technical concepts for building ...

CookUnity

Director, Data Science/ML

Los Angeles, CA

Today, CookUnity delivers 50 million meals a year from the industry's best chefs to homes all over ... PhD or Master's degree in Computer Science, Statistics, Mathematics, or related quantitative field

Zoo

CAD Graphics Engine Software Engineer

Los Angeles, CA · On-site +1

$145K - $195K/yr

... best solutions to our growing customer base * Document functionality and implementation details for production and other Engineers What You'll Need * B.S. in Computer Science or a related field, or ...

Tatari

Data Science Manager

Los Angeles, CA · On-site

$160K - $220K/yr

Tatari has also been recognized as the Best Place to Work by Inc. Magazine . Backed by an executive ... Master's degree or equivalent experience in a technical field (e.g., Computer Science, Mathematics ...

Tatari

Data Science Manager

Los Angeles, CA · On-site

$160K - $220K/yr

Tatari has also been recognized as the Best Place to Work by Inc. Magazine. Backed by an executive ... Master's degree or equivalent experience in a technical field (e.g., Computer Science, Mathematics ...

Zoo

CAD Graphics Engine Software Engineer

Los Angeles, CA · On-site +1

$150K - $186K/yr

... best solutions to our growing customer base * Document functionality and implementation details for production and other Engineers What You'll Need * B.S. in Computer Science or a related field, or ...

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Best Computer Science information

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$59.8K

$88K

$103.8K

How much do best computer science jobs pay per year?

As of Aug 30, 2026, the average yearly pay for best computer science in Glendale, CA is $88,022.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,100.00 and $99,000.00 per year, depending on experience, location, and employer.

What are the best computer science jobs?

The best computer science jobs are roles that offer strong career growth, competitive salaries, and opportunities to work with cutting-edge technology. Popular positions include software developer, data scientist, artificial intelligence engineer, cybersecurity analyst, and systems architect. These jobs typically require a solid foundation in programming, problem-solving skills, and the ability to keep up with technological advancements. The specific 'best' job for an individual often depends on their interests and specialization within computer science.

What are some common challenges computer science professionals face when working on large-scale software projects?

Computer science professionals often encounter challenges such as coordinating with cross-functional teams, managing complex codebases, and ensuring software scalability and security in large-scale projects. Effective communication and version control become crucial as multiple developers contribute to the same codebase. Additionally, prioritizing tasks, debugging intricate issues, and meeting tight deadlines require strong organizational and problem-solving skills. Regular collaboration with project managers, designers, and QA engineers is essential to deliver robust and user-friendly software solutions.

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 strong foundation in programming, algorithms, data structures, and typically a degree in computer science or a related field. Familiarity with programming languages (such as Python, Java, or C++), development tools, and version control systems like Git is important, and certifications in areas like cloud computing or cybersecurity can be beneficial. Analytical thinking, creativity, and effective problem-solving and communication skills help you stand out in this role. These skills and qualities are vital for designing innovative solutions, collaborating with diverse teams, and adapting to the rapidly evolving technology landscape.

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

AspectBest Computer ScienceSoftware Developer
Required CredentialsBachelor's or higher in Computer Science or related fieldBachelor's in Computer Science, Software Engineering, or related field
Work EnvironmentResearch labs, academia, tech companies, startupsTech companies, startups, freelance, corporate IT teams
Industry UsageAcademic, research, industry R&DProduct development, application programming, system design
Common Search/ComparisonFocuses on theoretical and foundational knowledgeFocuses on building and maintaining software applications

While Best Computer Science emphasizes theoretical foundations, research, and broad technical knowledge, Software Developers focus on designing, coding, and maintaining software applications. Both roles often require similar educational backgrounds, but their work environments and primary objectives differ.

What are the top 5 computer science careers?

Top computer science careers include software developer, data scientist, cybersecurity analyst, systems architect, and machine learning engineer. These roles typically require strong programming skills, knowledge of algorithms, and proficiency with tools like Python, Java, or cloud platforms. They often offer high demand and competitive salaries in the tech industry.

What are popular job titles related to Best Computer Science jobs in Glendale, CA?

For Best Computer Science jobs in Glendale, CA, the most frequently searched job titles are:

What job categories do people searching Best Computer Science jobs in Glendale, CA look for?

The top searched job categories for Best Computer Science jobs in Glendale, CA are:

What cities near Glendale, CA are hiring for Best Computer Science jobs?

Cities near Glendale, CA with the most Best Computer Science job openings:

Best Computer Science jobs near you
Infographic showing various Best Computer Science job openings in Glendale, CA as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, and 4% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $88,022 per year, or $42.3 per hour.

Research Data Scientist - Urology, Hung Lab

Cedars Sinai

West Hollywood, CA

Full-time

Posted 12 days ago

Cedars-Sinai rating

8.6

Company rating: 8.6 out of 10

Based on 131 frontline employees who took The Breakroom Quiz

43rd of 1,064 rated hospitals

Job description

Dr. Andrew Hung is looking for a Research Data Scientist to join a diverse team!

The Research Data Scientist participates in biomedical research projects using programming, data mining, statistics, machine learning, and visualization techniques to lead the development, evaluation, and/or application of algorithms, methods, and software for data analysis. Responsibilities include querying databases, data processing, data cleaning and quality control, supervised and unsupervised machine learning, parametric and nonparametric statistical methods, deploying production models, and leading the communication of scientific findings via peer-reviewed publications and scientific conferences. Writes clean, performant, reusable code managed on GitHub to perform repeatable analyses and to train and deploy models to multiple environments.
Principal Responsibilities:
 

Leads the development, evaluation, and/or application of computational and statistical methods including artificial intelligence and machine learning algorithms and software for the analysis of biomedical data.
 

Leads with the presentation and communication of scientific results through laboratory meetings, scientific conferences, and peer-reviewed publications.
 

Creates database-to-deployment pipelines for models using the necessary programming languages (primarily R, Python, SQL, neo4j).
 

Creates sustainable data science infrastructure and adheres to data analysis/machine learning best practices.
 

Performs data cleaning, quality control, exploratory data analysis to gauge the need for or appropriateness of advanced analytical methods.
 

Leads discussions with senior and/or lead research data scientists and principal investigators to identify areas where data science can best be applied to answer biomedical research questions.
 

Tests and validates code to ensure robustness of data applications with version control through GitHub.
 

Performs all other duties as assigned.

Education:

Bachelor's Degree, computer science, machine learning, applied mathematics, econometrics, statistics, engineering, physics, or related discipline - Required. 
 

Master's Degree, computer science, machine learning, applied mathematics, econometrics, statistics, engineering, physics, or related discipline- Preferred
Work Experience:

2 years of professional experience in healthcare or pharmaceutical industries working with biomedical data - Required.
 

2 years of Experience programming at an intermediate skill level with a high-level programming language such as R or Python. College projects may be acceptable - Required.
 

2 years of Experience programming at a basic to intermediate proficiency level in SQL - Required.
 

No experience required Experience in biomedical machine learning is preferred

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