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Computer Science Degree Jobs in Rialto, CA (NOW HIRING)

L3Harris

Specialist Software Engineer

Anaheim, CA

$97K - $180K/yr

Bachelor of Science degree in Computer Engineering, Computer Science, Electrical Engineering, or equivalent from a four-year college or university; and minimum 6 years of experience in design and ...

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All JobsComputer Science Degree JobsComputer Science Degree Jobs in Rialto, CA

Computer Science Degree information

See Rialto, CA salary details

$56.7K

$83.3K

$98.3K

How much do computer science degree jobs pay per year?

As of Jun 9, 2026, the average yearly pay for computer science degree in Rialto, CA is $83,339.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,700.00 and $93,800.00 per year, depending on experience, location, and employer.

What is a Computer Science degree?

A Computer Science degree is an academic program that focuses on the study of computers, computational systems, and software. Students learn about programming, algorithms, data structures, computer hardware, software engineering, and theoretical concepts underpinning computing. Graduates are prepared for careers in software development, data analysis, cybersecurity, artificial intelligence, and many other technology-related fields. The degree can be earned at various levels, including associate, bachelor's, master's, and doctoral degrees.

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

To thrive with a Computer Science degree, a strong grasp of programming languages, algorithms, and data structures is essential, typically supported by a bachelor's degree in computer science or a related field. Familiarity with development tools, version control systems like Git, and certifications such as AWS Certified Developer or CompTIA Security+ are often beneficial. Problem-solving, analytical thinking, and effective teamwork are crucial soft skills that distinguish successful professionals. Mastering these skills enables individuals to efficiently design, implement, and maintain complex software solutions in diverse technical environments.

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

AspectComputer Science DegreeSoftware Developer
Required CredentialsDegree in Computer Science or related fieldTypically requires programming skills, experience, and sometimes certifications
Work EnvironmentAcademic, research, or industry settingsTech companies, startups, or freelance projects
Industry UsageUsed as a qualification for various tech rolesPractical role focused on coding and software creation
Search & Comparison IntentUnderstanding educational requirements and career pathsJob qualifications and skills needed for software development

While a Computer Science Degree provides foundational knowledge and credentials, a Software Developer focuses on applying programming skills to build software. Many software developers have degrees in computer science, but practical experience and coding ability are equally important for the role.

What types of entry-level roles are typically available to recent graduates with a Computer Science degree, and how do these roles support career growth?

Recent graduates with a Computer Science degree often start in roles such as software developer, QA engineer, IT support specialist, or data analyst. These positions provide hands-on experience with real-world projects, exposure to collaborative team environments, and an opportunity to work with various technologies. Early career roles typically include mentorship and training, allowing new professionals to build foundational skills, specialize in areas of interest, and progress toward more advanced positions like software architect, project manager, or data scientist over time.
What are popular job titles related to Computer Science Degree jobs in Rialto, CA? For Computer Science Degree jobs in Rialto, CA, the most frequently searched job titles are:
What job categories do people searching Computer Science Degree jobs in Rialto, CA look for? The top searched job categories for Computer Science Degree jobs in Rialto, CA are:
What cities near Rialto, CA are hiring for Computer Science Degree jobs? Cities near Rialto, CA with the most Computer Science Degree job openings:
Computer Science Degree jobs near you
Infographic showing various Computer Science Degree job openings in Rialto, CA as of June 2026, with employment types broken down into 3% As Needed, 63% Full Time, 26% Part Time, 2% Temporary, and 6% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $83,339 per year, or $40.1 per hour.

Manager, Data Science

Inland Empire Health Plan

Rancho Cucamonga, CA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 29 days ago

Job description

Overview

What you can expect! 

Find joy in serving others with IEHP! We welcome you to join us in "healing and inspiring the human spirit" and to pivot from a "job" opportunity to an authentic experience!

 

The Manager, Data Science leads a team of data scientists, ML engineers, and AI specialists. This role requires a strong balance of technical expertise in advanced machine learning (including Generative AI), leadership experience, health care domain knowledge preferably in the managed care space, and the ability to align AI-driven solutions with business strategy. The Manager, Data Science enables the development of production-grade ML models, building GenAI applications (LLMs, RAG pipelines, prompt engineering, finetuning, multimodal models), and drives measurable business outcomes.

 

Commitment to Quality: The IEHP Team is committed to incorporate IEHP's Quality Program goals including, but not limited to, HEDIS, CAHPS, and NCQA Accreditation.

Additional Benefits

Perks

IEHP is not only committed to healing and inspiring the human spirit of our Members, but we also aim to match our team members with the same energy by providing prime benefits and more.

  • Competitive salary
  • State of the art fitness center on-site
  • Medical Insurance with Dental and Vision
  • Life, short-term, and long-term disability options
  • Career advancement opportunities and professional development
  • Wellness programs that promote a healthy work-life balance
  • Flexible Spending Account - Health Care/Childcare
  • CalPERS retirement
  • 457(b) option with a contribution match
  • Paid life insurance for employees
  • Pet care insurance
Key Responsibilities
  • Leadership & Strategy
    • Lead and mentor a team of data scientists, ML engineers, and AI specialists.
    • Define and execute the roadmap for AI/ML and Generative AI initiatives across the enterprise.
    • Partner with business and technology stakeholders to identify AI use cases that create measurable value.
    • Advocate for responsible AI practices, ensuring solutions are ethical, explainable, secure, and compliant.
  • Technical & Delivery
    • Oversee development of advanced ML models and AI systems (predictive, prescriptive, and generative).
    • Design and implement GenAI solutions, including LLM fine-tuning, embeddings, retrieval-augmented generation (RAG), and prompt optimization.
    • Drive end-to-end MLOps practices: model training, evaluation, deployment, monitoring, and lifecycle management.
    • Ensure scalability and performance of AI solutions within enterprise data platforms.
    • Collaborate with data engineering to optimize data pipelines for AI workloads.
  • Innovation & Research
    • Stay at the forefront of GenAI, multimodal AI, and emerging ML techniques to evaluate theirrelevance and application.
    • Foster a culture of experimentation, rapid prototyping, and "fail-fast and pivot" approaches.
  • Hire, train, and manage support staff, while monitoring and evaluating outcomes. Conduct performance reviews of each team Member within IEHP guidelines.
  • Perform any other duties as required to ensure Health Plan operations and department business needs are successful.
    • Qualifications

    Education & Requirement

    Required:

    • At least ten (10) years of experience, which should include a minimum of seven (7) years of experience in data science & ML and at least five (5) years in a leadership/managerial role
    • Proven track record in leading AI/ML projects from conception to production
    • Experience with cloud AI platforms (Azure ML, GCP Vertex AI) and/or on-prem MLOps setups
    • Direct experience in Managed Care and Healthcare analytics, including claims data, care management, utilization, risk adjustment, member engagement, or related areas
    • Exposure to multimodal AI (text, image, audio, video) applications
    • Experience with Kubernetes, KServe, Ray, or MLflow for scaling AI workloads
    • Bachelor's Degree in Mathematics, Statistics, Computer Science, or related field from an accredited institution
      • Master's Degree in Mathematics, Statistics, Computer Science, or related field from an accredited institution preferred

    Key Qualifications

    • Familiarity with basic principles of distributed computing and/or distributed databases
    • Knowledge of one or more business/functional areas. Working knowledge of diagnosis and procedure coding, medical terminology, knowledge of managed care, claims payment processes, and insurance terminology required
    • Familiarity with data governance, model interpretability, bias mitigation, and AI ethics
    • Strong analysis and critical thinking skills. Excellent communication and interpersonal skills
    • Strong programming skills in Python, PyTorch/TensorFlow, LangChain, Hugging Face, or equivalent framework
    • Ability to manipulate large datasets and using database and general-purpose programming language (R, Python, JavaScript, or other big data frameworks, Java, SQL)
    • Demonstrable ability to quickly understand new concepts all the way down to the theorems, and to come out with original solutions to mathematical issues
    • Ability to multi-task while maintaining careful attention to detail. Ability to handle multiple projects, data input, and strong problem-solving capability. Independent self-starter who is driven to success, takes great pride in accomplishments and works with a sense of urgency to meet deadlines and address competing priorities
    • Expertise in Generative AI (LLMs, transformers, embeddings, vector databases, RAG, fine-tuning, and prompt engineering). Strong business acumen and ability to translate technical solutions into executive-level impact stories.

    Start your journey towards a thriving future with IEHP and apply TODAY!

    Work Model Location

    This position is on a hybrid work schedule. (Monday & Friday - remote, Tuesday - Thursday onsite in Rancho Cucamonga, CA.)

    Willingness to be on call occasionally to attend to technical issues outside of normal business hours

    Pay RangeUSD $154,128.00 - USD $204,214.40 /Yr.Employment Type: FULL_TIME

    Apply