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Phd Data Scientist Jobs in Riverside, CA (NOW HIRING)

The Trade Desk

Applied Scientist II

Irvine, CA · On-site

... applied/data scientist/analyst or in a research role (includes PhD or post-doc experience in a quantitative discipline). • You have a Bachelor's/Master's/PhD level degree in a quantitative ...

The Trade Desk

Applied Scientist II

Irvine, CA · On-site

You have 2+ years of experience working as a professional applied/data scientist/analyst or in a research role (includes PhD or post-doc experience in a quantitative discipline). * You have a ...

Diverse Lynx

AI /ML engineer

Irvine, CA · On-site

... data scientists, and business stakeholders to bring AI solutions to production. Key ... A PhD or relevant research experience would be a plus. Hands-on experience with neural networks ...

BALT Group

Clinical Scientist

Irvine, CA · On-site

Critically analyzes data and prepares presentations for internal and external groups including but ... PhD, or Pharm.D preferred, other advanced Medical or Life Sciences degrees may be considered.

BALT Group

Clinical Scientist

Irvine, CA · On-site

Critically analyzes data and prepares presentations for internal and external groups including but ... PhD, or Pharm.D preferred, other advanced Medical or Life Sciences degrees may be considered.

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Phd Data Scientist information

See Riverside, CA salary details

$48K

$172.2K

$254K

How much do phd data scientist jobs pay per year?

As of May 28, 2026, the average yearly pay for phd data scientist in Riverside, CA is $172,158.00, according to ZipRecruiter salary data. Most workers in this role earn between $139,300.00 and $177,400.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a PhD Data Scientist, and why are they important?

To thrive as a PhD Data Scientist, you need advanced expertise in statistics, machine learning, and data analysis, typically backed by a PhD in a quantitative field. Proficiency with programming languages like Python or R, experience with big data tools (e.g., Hadoop, Spark), and familiarity with cloud platforms and version control systems are commonly required. Strong problem-solving skills, communication abilities, and the capacity to explain complex concepts to non-technical stakeholders are crucial soft skills. These skills and qualities are essential for extracting actionable insights from complex datasets and driving data-informed decision-making in organizations.

What are some common challenges PhD Data Scientists face when transitioning from academia to industry roles?

PhD Data Scientists often encounter challenges when moving from academia to industry, such as adapting to faster project timelines, prioritizing business impact over exploratory research, and communicating complex findings to non-technical stakeholders. In industry, there is a greater emphasis on collaborative teamwork and delivering actionable insights that align with organizational goals. Building skills in agile development, stakeholder engagement, and product-focused thinking can help smooth the transition and ensure success in a corporate environment.

What are PhD Data Scientists?

PhD Data Scientists are professionals who have earned a doctoral degree (PhD) in a relevant field, such as computer science, statistics, mathematics, or engineering, and work in roles focused on analyzing and interpreting complex data. They leverage advanced research skills, deep theoretical knowledge, and expertise in data modeling to solve challenging problems, build predictive models, and derive actionable insights for organizations. PhD Data Scientists often contribute to cutting-edge projects, publish research, and help bridge the gap between academic research and practical, real-world applications.

What is the difference between Phd Data Scientist vs Data Analyst?

AspectPhd Data ScientistData Analyst
Required CredentialsPhD or Master's in Data Science, Statistics, or related fieldBachelor's or Master's in related field, often with certifications
Work EnvironmentResearch-focused, complex modeling, advanced analyticsBusiness reporting, data visualization, basic analysis
Employer & Industry UsageTech, academia, research institutions, large corporationsBusiness, marketing, finance, healthcare

Phd Data Scientists typically have advanced degrees and focus on complex modeling and research, while Data Analysts handle more straightforward data reporting and visualization tasks. Both roles are essential in data-driven organizations but differ in scope and expertise.

What are popular job titles related to Phd Data Scientist jobs in Riverside, CA? For Phd Data Scientist jobs in Riverside, CA, the most frequently searched job titles are:
What job categories do people searching Phd Data Scientist jobs in Riverside, CA look for? The top searched job categories for Phd Data Scientist jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Phd Data Scientist jobs? Cities near Riverside, CA with the most Phd Data Scientist job openings:
Phd Data Scientist jobs near you
Infographic showing various Phd Data Scientist job openings in Riverside, CA as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $172,158 per year, or $82.8 per hour.

Senior Data Scientist Advisor

Southern California Edison (SCE)

Pomona, CA • On-site

$182.80K - $274.10K/yr

Full-time

Posted 10 days ago

Job description

Join the Clean Energy Revolution
Become a Senior Data Scientist Advisor at Southern California Edison (SCE) and build a better tomorrow. In this job, you'll be responsible for advancing AI-powered vegetation management by driving the development and refinement of AI models that interpret complex remote sensing data. In addition to remote sensing-focused initiatives, the role will also contribute specialized data science expertise to broader vegetation management projects. By solving highly technical challenges, this role directly enables a more efficient and proactive approach to managing vegetation risk and protecting critical infrastructure.
As a Senior Data Scientist 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
  • Partners with stakeholders to understand business problems and objectives and translate them into data science solutions, providing thought leadership and creativity in solving unconventional problems.
  • Leads and provides direction to other analytic teams across the organization, spearheads development of highly complex predictive and prescriptive models to drive data insights.
  • Defines new data collection sources and methods and makes strategic recommendations for data practices (collection, preparation, quality).
  • Establishes standards and identifies techniques to solve data quality and integrity problems.
  • Leads development and maintenance of models, tools and methods for highly complex analytics problems.
  • Engages business OUs to solve critical issues and identify optimization opportunities, performs sophisticated analytics and translates into actionable insights.
  • Applies machine learning concepts and authors production-level code to provide innovative ideas and research to improve decision making.
  • Identifies opportunities to apply data science and predictive analytics to help solve the most critical business challenges.
  • Establishes scalable, automated processes for large-scale data analysis, modeling, validation and
  • Implementation.
  • Leverages relationships with data science individuals at other utilities and vendors and participate and present in relevant industry forums and groups to promote SCE's approach.
  • 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.
  • Seven 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
  • Master's or Ph.D. degree in computer science, statistics, mathematics, engineering, or a closely related science and engineering field.
  • Five or more years hands-on experience working in data science roles, including experience with machine learning algorithms, statistical modeling, and big data platforms.
  • Hands-on experiences with languages like Python, R, and SQL, as well as knowledge of cloud computing environments (e.g., AWS, Azure, Google Cloud), and familiarity with data visualization tools like Tableau or Power BI.
  • Experience evaluating and deploying artificial intelligence solutions into business processes.
  • Experience with LiDAR data, processing and modeling.
  • Strong executive communication skills, including building concise narratives and presenting insights to senior leadership; experience communicating to both technical and non-technical audiences).

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.
  • The primary work location for this position is Pomona, CA. However, the successful candidate may also be asked to work for an extended amount of time at (alternate work location).
  • Position will require up to 10% local traveling and being out in the field throughout the SCE service territory.
  • This position has been identified as a NERC/CIP impacted position - Prior to being hired, the successful candidate must pass a Personnel Risk Assessment (PRA) or Background Investigation. Once hired, the candidate must complete specified training prior to gaining un-escorted access to assigned work location and performing necessary job duties.
  • Relocation may apply to this position.

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 (833) 343-0727.

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