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Phd Computer Science Jobs in Riverside, CA (NOW HIRING)

Silvus Technologies

FPGA Design Engineer

Irvine, CA · On-site

$132K - $181K/yr

OR an advanced degree (MS or PhD) in Electrical Engineering, Computer Science, or related fields * Proven expertise working with multiple clock-domain, high-utilization FPGA designs. * Experience ...

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All JobsPhd Computer Science JobsPhd Computer Science Jobs in Riverside, CA

Phd Computer Science information

See Riverside, CA salary details

$58.9K

$86.7K

$102.2K

How much do phd computer science jobs pay per year?

As of Aug 12, 2026, the average yearly pay for phd computer science in Riverside, CA is $86,705.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,900.00 and $97,500.00 per year, depending on experience, location, and employer.

Is a PhD worth it for computer science?

A PhD in computer science can lead to careers in research, academia, or specialized industry roles requiring advanced expertise. It typically involves several years of study and research, and is valuable for positions that demand deep technical knowledge or innovation. However, it may not be necessary for most industry jobs, which often prioritize skills and experience over advanced degrees.

What are some common challenges faced by PhD computer science students during their research?

PhD Computer Science students often encounter challenges such as defining a clear and impactful research problem, managing long-term projects with limited guidance, and coping with the pressure to publish in top-tier conferences or journals. Balancing coursework, teaching responsibilities, and research can also be demanding. Effective time management, networking with peers and mentors, and seeking regular feedback can help students navigate these challenges and achieve their academic goals.

What is a PhD in computer science?

A PhD in Computer Science is the highest academic degree in the field, focused on advanced research and the creation of new knowledge in computing. It typically involves several years of coursework followed by original research culminating in a dissertation. Graduates often pursue careers in academia, research, or advanced industry roles that require deep technical expertise and problem-solving skills.

What are the key skills and qualifications needed to thrive as a PhD in computer science?

To thrive as a PhD in Computer Science, you need advanced expertise in algorithms, programming, and research methodologies, typically supported by a doctoral degree in computer science or a related field. Mastery of programming languages (such as Python, Java, or C++), data analysis tools, and familiarity with version control systems like Git are commonly required, along with experience in publishing academic research. Critical thinking, problem-solving, strong written and verbal communication, and perseverance are vital soft skills for success in research and collaboration. These skills and qualifications are essential for making significant contributions to the field, driving innovation, and effectively sharing knowledge with the academic and professional community.

What jobs can I get with a PhD in computer science?

A PhD in computer science qualifies individuals for research positions, university faculty roles, and advanced roles in industry such as data scientist, machine learning engineer, or AI researcher. These roles often require strong programming skills, knowledge of algorithms, and experience with tools like Python, TensorFlow, or cloud platforms.
What are popular job titles related to Phd Computer Science jobs in Riverside, CA? For Phd Computer Science jobs in Riverside, CA, the most frequently searched job titles are:
What job categories do people searching Phd Computer Science jobs in Riverside, CA look for? The top searched job categories for Phd Computer Science jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Phd Computer Science jobs? Cities near Riverside, CA with the most Phd Computer Science job openings:
Phd Computer Science jobs near you
Infographic showing various Phd Computer Science job openings in Riverside, CA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 3% Contract, and 1% Nights. Highlights an 80% Physical, 1% Hybrid, and 19% Remote job distribution, with an average salary of $86,705 per year, or $41.7 per hour.

Grid Operations Data Scientist and Predictive Analytics Advisor

Southern California Edison (SCE)

Irvine, CA • On-site

$161K - $242K/yr

Full-time

Posted 9 days ago

Job description

Join the Clean Energy Revolution
Become a Grid Operations Data Scientist and Predictive Analytics Advisor at Southern California Edison (SCE) and build a better tomorrow. In this job, you'll develop and maintain impactful technical solutions, making Grid Operations safer and more efficient. Your work will harness SCE's varied sensors and systems to identify opportunities to better understand conditions on the electric grid, then bring those actionable insights to Operators and Field personnel. As a Grid Operations Data Scientist and Predictive Analytics Advisor, your work will help power our planet, reduce carbon emissions and create cleaner air for everyone. Are you ready to take on the challenge to help us build the future?
Responsibilities
  • Cooperates with various stakeholders across the organization to understand and define solutions for complex, data-intensive business problems requiring advanced analytics.
  • Facilitates the development of predictive and prescriptive models using cutting-edge techniques to derive impactful insights and guide data-driven decision making.
  • Identifies and implements new data collection sources and methods to build robust datasets for modeling. Leads data preparation and integration processes for large, varied datasets; ensures data quality and integrity.
  • Drives selection and preparation of data tailored to specific business use cases and analytics projects. Leads development and enhancement of advanced analytical models using statistical, algorithmic, data mining and visualization techniques to uncover insights.
  • Improves existing quantitative models leveraging latest analytical tools and techniques using novel AI/ML trends.
  • Performs sophisticated analytics and translates outputs into understandable, actionable insights and recommendations for stakeholders.
  • Researches industry trends and emerging tools, methods and models; provides insights on their potential business application and adoption.
  • Continues developing data science relationships and participating in industry groups and events to stay current on techniques.
  • A material job duty of all positions within the Company is ensuring the protection of all its physical, financial and cybersecurity assets, and properly accessing and managing private customer data, proprietary information, confidential medical records, and other types of highly sensitive information and data with the highest standards of conduct and integrity.

Minimum Qualifications
  • Bachelor's Degree (or higher) in a quantitative discipline such as Computer Science, Electrical Engineering, Statistics, Mathematics, or Business Analytics.
  • Five or more years of experience in data analytics related work. *PhD in Computer Science, Electrical Engineering, Statistics, Mathematics, business analytics = 2 years of experience credit.

Preferred Qualifications
  • Experience using Python and common data science or analytics libraries, with hands-on experience working with large, complex, or time-series datasets.
  • Experience developing and supporting data-driven applications or advanced analytics solutions end-to-end, from data exploration and preparation through deployment and ongoing maintenance to solve real-world challenges.
  • Experience with modern data platforms and analytics environments, including tools such as SQL, cloud-based data platforms or data visualization tools.
  • Ability to translate analytical results into clear, actionable insights, dashboards, or tools for both technical and non-technical audiences.
  • Experience working collaboratively across teams and communicating impact, including quantifying the business or operational value of analytics or application development work.
  • Familiarity with analytics applications in regulated, infrastructure-focused, or operational environments.

Additional Information
  • This position's work mode is hybrid. The employee will report to an SCE facility for a set number of days with the option to work remotely on the remaining days. Unless otherwise noted, employees are required to work and reside in the state of California. Further details of this work mode will be discussed at the interview stage. The work mode can be changed based on business needs.
  • Visit our Candidate Resource page to get meaningful information related to benefits, perks, resources, testing information, hiring process, and more!
  • Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
  • Relocation does not apply to this position.
  • There may be additional assessments required as part of the selection process.

About Southern California Edison
The people at SCE don't just keep the lights on. Our mission is so much bigger. We're fueling the kind of innovation that's changing an entire industry, and quite possibly the planet. Join us and create a future with cleaner energy, while providing our customers with the safety and reliability they demand. At SCE, you'll have a chance to grow personally and professionally, making a real impact in Southern California and around the world.
Southern California Edison is a proud Equal Opportunity Employer, including disability and protected veteran status.
We are committed to ensuring that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodations at AskHR@sce.com or (626) 302-3456 and select option 2.

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