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Computer Science Manager Jobs in Irvine, CA (NOW HIRING)

ACI Infotech

SQL Database Administrator

Orange, CA · On-site

$53.25 - $66.75/hr

Bachelor's degree in Computer Science, Management Information Systems (MIS), or a related field required. * 4 years of experience with progressive technical responsibilities in Information Technology ...

Silvus Technologies

Embedded Software Engineer

Irvine, CA

$141K - $185K/yr

Management may assign or reassign duties and responsibilities at any time at its discretion. ROLE ... Bachelor of Science degree in Electrical Engineering, Computer or Communications Engineering ...

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Computer Science Manager information

See Irvine, CA salary details

$10

$28

$58

How much do computer science manager jobs pay per hour?

As of Jun 16, 2026, the average hourly pay for computer science manager in Irvine, CA is $28.28, according to ZipRecruiter salary data. Most workers in this role earn between $18.56 and $35.10 per hour, depending on experience, location, and employer.

Does CS have a future?

A career as a Computer Science Manager is expected to remain in demand due to ongoing technological advancements and the need for leadership in software development, cybersecurity, data analysis, and other tech fields. Strong skills in programming, project management, and staying current with industry trends are essential for success in this role.

Which CS has the highest salary?

Senior roles such as Principal Software Engineers, Software Architects, and Engineering Directors in computer science typically have the highest salaries, often exceeding $150,000 annually. These positions require extensive experience, advanced technical skills, and leadership responsibilities, and they are common in large tech companies and specialized industries.

What is the difference between Computer Science Manager vs Software Development Manager?

AspectComputer Science ManagerSoftware Development Manager
Required CredentialsBachelor's or Master's in Computer Science or related field; often certifications in project managementBachelor's or Master's in Computer Science, Software Engineering, or related field; project management certifications common
Work EnvironmentOversees technical teams, manages projects, and develops technical strategiesLeads software development teams, manages project timelines, and ensures product delivery
Employer & Industry UsageUsed across tech companies, research institutions, and IT departmentsCommon in software companies, tech startups, and enterprise IT divisions

The main difference is that a Computer Science Manager focuses on overseeing technical teams and research-driven projects, while a Software Development Manager concentrates on managing software projects and development processes. Both roles require strong technical backgrounds and leadership skills, but their focus areas differ slightly based on project scope and technical emphasis.

Can I make 200K with a computer science degree?

A Computer Science Manager can earn $200,000 or more annually, especially with extensive experience, leadership skills, and in high-paying industries or locations. Salaries vary based on company size, geographic region, and individual expertise, with senior roles often requiring advanced knowledge of programming, project management, and relevant certifications.

Is computer science dead due to AI?

As a Computer Science Manager, it is clear that computer science remains a vital field despite advances in AI. AI tools and algorithms are built on foundational computer science principles, and demand for software development, data analysis, and cybersecurity continues to grow. Professionals with programming skills and knowledge of AI frameworks are essential for ongoing technological innovation.
What are the most commonly searched types of Computer Science jobs in Irvine, CA? The most popular types of Computer Science jobs in Irvine, CA are:
What cities near Irvine, CA are hiring for Computer Science Manager jobs? Cities near Irvine, CA with the most Computer Science Manager job openings:
Computer Science Manager jobs near you

Data Scientist - Business Analytics & ML

Kia America

Irvine, CA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 27 days ago

Job description

At Kia, we're creating award-winning products and redefining what value means in the automotive industry. It takes a special group of individuals to do what we do, and we do it together. Our culture is fast-paced, collaborative, and innovative. Our people thrive on thinking differently and challenging the status quo. We are creating something special here, a culture of learning and opportunity, where you can help Kia achieve big things and most importantly, feel passionate and connected to your work every day.
Kia provides team members with competitive benefits including premium paid medical, dental and vision coverage for you and your dependents, 401(k) plan matching of 100% up to 6% of the salary deferral, and paid time off. Kia also offers company lease and purchase programs, company-wide holiday shutdown, paid volunteer hours, and premium lifestyle amenities at our corporate campus in Irvine, California.
Status
Exempt
General Summary
The Data Scientist plays an important role in executing data analysis for Kia North America's regional subsidiaries (KUS/KCA/KaGA/KMX). Kia's Big Data Analysis team leverages vast and diverse datasets to drive business improvements and insights. The role requires expertise in statistics, machine learning, and computer science to utilize high-performance compute clusters and perform reproducible analyses at scale. This position supports the application of data, analytics, automation, and responsible AI to advance Kia's business operations.
This role focuses on using data and machine learning to answer complex business questions, build analytical and predictive models, and translate results into clear insights and recommendations for stakeholders. The role goes beyond reporting by framing problems, designing analyses, and influencing decisions.
Essential Duties and Responsibilities
1st Priority - 30%
Business Problem Framing, Data Wrangling & Analysis
  • Assess the accuracy of new data sources
  • Understand business processes and decision frameworks, and translate them into data-driven metrics and KPIs.
  • Preprocess structured and unstructured data
  • Analyze large amounts of data to discover trends and patterns
  • Build prediction and classification models
  • Coordinate with different functional teams for feature engineering
  • Partner with business stakeholders to frame problems, define success metrics, and translate business questions into analytical approaches

2nd Priority - 30%
Insight Generation, Visualization & Model Improvement
  • Test and continuously improve the accuracy of statistical and machine learning models
  • Present insights in a way that clearly ties analysis to business decisions and actions
  • Frame and communicate complex analyses in business-relevant terms that non-technical stakeholders can understand and act on
  • Continuously monitor and validate production analysis results

3rd Priority - 20%
Collaborate with IT Team to deploy analysis results
  • Build REST APIs for data and analysis result consumption
  • Assist the IT system developers to deploy analysis as a service

4th Priority - 20%
Clear documentation, source code management, and reproducible analysis
  • Use git within GitLab
  • Create virtual environments to isolate project dependencies and requirements
  • Track model performance and hyperparameter configurations
  • Track data versioning

This list of essential responsibilities and duties is not exhaustive and may be supplemented and changed as necessary by management.
Qualifications/Education
Education:
  • Bachelor's degree in a quantitative field required (e.g., Data Science, Statistics, Computer Science, Engineering, Economics, Mathematics, Business Analytics, or related field)
  • Master's degree in a quantitative field preferred

Job Requirement
  • 3+ years of experience in data science preferred.
  • Strong data analysis and statistical foundations required.
  • Proficiency in Python and SQL required.
  • Familiarity with applied machine learning concepts required.
  • Strong business acumen and ability to coordinate between technical teams and non-technical business stakeholders.
  • Experience querying databases and using programming languages such as Python and SQL
  • Experience using statistics and machine learning algorithms
  • Experience with big data processing frameworks such as Spark (e.g., PySpark); experience with Hadoop ecosystem or cloud platforms (e.g., Databricks, AWS) preferred
  • Experience publishing results to stakeholders through dashboards (e.g. Power BI, MicroStrategy, Tableau)

Specialized Skills and Knowledge Required
  • Proficiency in Python and SQL
  • Knowledge of a variety of machine learning techniques, deep learning a plus
  • Knowledge of advanced statistical techniques
  • Experience with common Python libraries for data analysis such as Pandas and NumPy
  • Experience with visualization libraries such as Matplotlib, Seaborn, Plotly, Bokeh and plotnine
  • Experience developing and evaluating statistical and machine learning models using libraries such as statsmodels and scikit-learn
  • Experience with big data processing tools such as Spark (e.g., PySpark); experience with Hadoop ecosystem or cloud platforms preferred
  • Experience with deep learning frameworks such as PyTorch and TensorFlow preferred
  • Strong data-driven problem-solving skills
  • Excellent written and verbal communication skills to coordinate across teams

Competencies
  • Care for People
  • Chase Excellence Every Day
  • Dare to Push Boundaries
  • Empower People to Act
  • Move Further Together

Pay Range
$107,060 - 131,857.00
Pay will be based on several variables that are unique to each candidate, including but not limited to, job-related skills, experience, relevant education or training, etc.
Equal Employment Opportunities
KUS provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, ancestry, national origin, sex, including pregnancy and childbirth and related medical conditions, gender, gender identity, gender expression, age, legally protected physical disability or mental disability, legally protected medical condition, marital status, sexual orientation, family care or medical leave status, protected veteran or military status, genetic information or any other characteristic protected by applicable law. KUS complies with applicable law governing non-discrimination in employment in every location in which KUS has offices. The KUS EEO policy applies to all areas of employment, including recruitment, hiring, training, promotion, compensation, benefits, discipline, termination and all other privileges, terms and conditions of employment.
Disclaimer: The above information on this job description has been designed to indicate the general nature and level of work performed by employees within this classification and for this position. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this job.

About Kia America

Sourced by ZipRecruiter

Industry

Motor vehicle manufacturing

Company size

501 - 1,000 Employees

Headquarters location

Irvine, CA, US

Year founded

1994

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