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No Experience Data Science Jobs in Riverside, CA

Hireblazer

Senior Data Scientist

Irvine, CA · On-site

Experience developing analytics with machine learning, deep learning, NLP, and/or other related ... Master's or Ph.D. degree in Computer Science, Applied Mathematics, (Bio) Statistics, Applied ...

FieldAI

Field Data Analyst

Irvine, CA · On-site

... Science, Statistics, or related field • Strong analytical skills with ability to work with messy operational datasets • Proficiency in Python, SQL, or similar data analysis tools • Experience ...

FieldAI

Field Data Analyst

Irvine, CA · On-site

... Science, Statistics, or related field • Strong analytical skills with ability to work with messy operational datasets • Proficiency in Python, SQL, or similar data analysis tools • Experience ...

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All JobsData Science JobsNo Experience Data Science JobsNo Experience Data Science Jobs in Riverside, CA

No Experience Data Science information

See Riverside, CA salary details

$39.1K

$128K

$205K

How much do no experience data science jobs pay per year?

As of Jun 13, 2026, the average yearly pay for no experience data science in Riverside, CA is $128,049.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,800.00 and $141,900.00 per year, depending on experience, location, and employer.

What key skills and qualifications are needed to succeed in an entry-level Data Science role with no prior experience, and why are they important?

To thrive in an entry-level Data Science role, foundational knowledge of statistics, programming (often in Python or R), and data analysis is essential, usually supported by a relevant degree or completion of online courses. Familiarity with tools such as Jupyter Notebooks, SQL databases, and introductory machine learning libraries like scikit-learn is typically expected. Curiosity, problem-solving abilities, and effective communication help newcomers stand out by enabling them to learn quickly and explain insights clearly. These skills and qualities are crucial for accurately analyzing data, collaborating with teams, and delivering actionable results as you build your experience.

What is the difference between No Experience Data Science vs Data Analyst?

AspectNo Experience Data ScienceData Analyst
Required CredentialsEntry-level, often no certifications neededOften requires a degree in related field; certifications like Excel or SQL helpful
Work EnvironmentStartups, internships, or entry-level roles in tech or financeCorporate offices, consulting firms, or government agencies
Industry UsageGrowing in tech, finance, healthcare, and marketingWidely used across industries for data interpretation and reporting
Search & Comparison IntentPeople seeking entry-level data roles with minimal experienceIndividuals comparing entry-level data roles in analytics

While No Experience Data Science roles focus on entry-level positions with minimal prior skills, Data Analysts typically require some foundational knowledge and relevant certifications. Both roles are common in various industries, but Data Analysts often have more defined responsibilities in data interpretation and reporting. Understanding these differences helps job seekers target the right roles based on their experience level and career goals.

What entry-level tasks or projects can someone without experience expect in a data science role?

In an entry-level data science position, especially for those without prior experience, you can expect to start with foundational tasks such as data cleaning, exploratory data analysis, and assisting in data collection processes. You may also help maintain documentation, prepare data visualizations, and support more senior team members with basic statistical analysis or model evaluation. These responsibilities not only build your technical skills but also expose you to the real-world workflows and collaborative problem-solving typical of data science teams.

What are 'No Experience Data Science' jobs?

'No Experience Data Science' jobs are entry-level positions in the field of data science that do not require prior professional experience. These roles are designed for recent graduates, career changers, or individuals looking to start a career in data science. They typically focus on foundational skills such as data cleaning, basic statistical analysis, and simple data visualization. Employers may provide training and mentorship to help new hires gain practical experience. Common job titles include Data Science Intern, Junior Data Analyst, or Data Science Trainee.

Is it possible to get a data science job with no experience?

Entry-level data science roles often do not require prior professional experience if candidates have relevant skills such as programming in Python or R, knowledge of statistics, and familiarity with data analysis tools. Building a portfolio through personal projects, online courses, or certifications can improve chances of securing such positions. However, some employers may prefer candidates with internship or related experience.

Is 40 too late for data science?

No, 40 is not too late to start a career in data science. Many professionals transition into data science at various ages by acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications. Success depends on dedication, continuous learning, and building a strong portfolio of projects.

How do I become a data scientist with no experience?

To become a data scientist with no experience, focus on building foundational skills in programming (Python or R), statistics, and data analysis through online courses and tutorials. Gaining hands-on experience with projects, participating in competitions, and learning tools like SQL and machine learning frameworks can help demonstrate your abilities to employers.

Do 87% of data science projects fail?

The claim that 87% of data science projects fail is often cited but lacks consistent empirical evidence. Success in data science projects depends on clear goals, quality data, and proper skills, and failure rates vary widely across organizations and project types.
What are the most commonly searched types of Data Science jobs in Riverside, CA? The most popular types of Data Science jobs in Riverside, CA are:
What are popular job titles related to No Experience Data Science jobs in Riverside, CA? For No Experience Data Science jobs in Riverside, CA, the most frequently searched job titles are:
What job categories do people searching No Experience Data Science jobs in Riverside, CA look for? The top searched job categories for No Experience Data Science jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for No Experience Data Science jobs? Cities near Riverside, CA with the most No Experience Data Science job openings:
No Experience Data Science jobs near you
Infographic showing various No Experience Data Science job openings in Riverside, CA as of June 2026, with employment types broken down into 13% Internship, 74% Full Time, and 13% Part Time. Highlights an 62% In-person, and 38% Remote job distribution, with an average salary of $128,049 per year, or $61.6 per hour.

Grid Operations Power Systems Data Scientist Specialist

Southern California Edison (SCE)

Irvine, CA • On-site

$114K - $171K/yr

Full-time

Posted 5 days ago

Job description

Join the Clean Energy Revolution
Become a Grid Operations Power Systems Data Scientist Specialist at Southern California Edison (SCE) and build a better tomorrow. In this job, you'll assist in developing and maintaining 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 Power Systems Data Scientist Specialist, 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
  • Collaborates with SCE stakeholders including project sponsors, data analysts, and subject matter experts to fully understand the key business problems, goals, objectives and desired outcomes for data science projects.
  • Assists more experienced data scientists and analytic leaders to help in developing solutions to complex, data-intensive business issues using appropriate data science methodologies.
  • Identifies and thoroughly assesses what internal and external data sources are available and relevant to address the target business issues and objectives.
  • Implements and improves processes for collecting complete, high-quality, standardized data from identified sources, addressing any issues with missing values or data anomalies.
  • Selects the most appropriate data sources and prepares the data for analysis by cleaning, merging, filtering, transforming or enriching as needed.
  • Validates analysis findings by taking an experimental, iterative approach including statistical testing and seeking feedback from stakeholders.
  • Presents analysis insights, assumptions, validation results and recommendations clearly to business stakeholders in language suited to the audience using basic data visualization techniques.
  • Applies statistical analysis, machine learning algorithms, data mining techniques and data visualizations appropriately to model problems, discover key insights, and identifies opportunities from the available data. Proposes innovative applications of data mining methodologies to gain new perspectives and insights from existing data sources that may not have been considered previously.
  • Keeps abreast of new and current data science and big data 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.
  • One or more years of experience analyzing or manipulating complex data.

Preferred Qualifications
  • Strong proficiency in Python and common data science or analytics libraries, with hands-on experience working with large, complex, or time-series datasets and a demonstrated interest in deeply understanding the data.
  • 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 problems.
  • Experience with electrical power systems and/or electrical engineering applications.
  • Familiarity with modern data platforms and analytics environments, including best practices for building, deploying, and scaling analytics or data-driven applications.
  • Ability to translate analytical results into clear, actionable insights, dashboards, or tools for both technical and non-technical audiences.
  • Demonstrated ability to build and maintain positive working relationships. Positive 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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