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Entry Level Data Science Jobs in Riverside, CA (NOW HIRING)

Pwc

AI & GenAI Data Scientist - Manager

Irvine, CA

$99K - $232K/yr

Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

CTIO-AI Engineer-Sr Associate

Irvine, CA · On-site

$55K - $187K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

VSolvit

DATA ANALYST ENGINEER I

Norco, CA · On-site

$65K - $80K/yr

This entry-level role focuses on leveraging tools such as Power BI, Splunk, Tableau, and SharePoint ... Bachelor's degree in Data Analytics, Computer Science, Information Systems, Engineering, or a ...

Intellectt INC

Chemist/ Jr Lab Technician

Pomona, CA · On-site

$22 - $29.50/hr

This entry-level opportunity is ideal for recent graduates or professionals with up to two years of ... Maintain accurate laboratory notebooks, records, and electronic data entries. * Ensure materials ...

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Entry Level Data Science information

See Riverside, CA salary details

$11

$19

$28

How much do entry level data science jobs pay per hour?

As of Jun 8, 2026, the average hourly pay for entry level data science in Riverside, CA is $19.88, according to ZipRecruiter salary data. Most workers in this role earn between $16.78 and $22.31 per hour, depending on experience, location, and employer.

What are entry level data science jobs?

Entry level data science jobs are positions designed for individuals who are starting their careers in the field of data science, often requiring minimal professional experience. These roles typically involve working with data collection, cleaning, and analysis, as well as assisting more senior data scientists with projects. Entry level data scientists are expected to have a foundational understanding of statistics, programming (often in Python or R), and basic machine learning concepts. They may work in various industries, helping organizations gain insights from data to support decision-making.

What types of projects or tasks can I expect to work on as an entry-level data scientist?

As an entry-level data scientist, you'll typically work on tasks such as data cleaning, exploratory data analysis, and supporting the development of predictive models. You may also assist in preparing datasets, generating reports, and visualizing data for stakeholders. Collaboration with more senior data scientists and cross-functional teams like engineering or business analysts is common, giving you opportunities to learn and grow your technical and communication skills. These foundational projects are essential for building your expertise and preparing for more complex responsibilities as you advance in your career.

What are the key skills and qualifications needed to thrive as an Entry Level Data Scientist, and why are they important?

To thrive as an Entry Level Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, typically supported by a relevant degree such as computer science, mathematics, or statistics. Familiarity with technical tools like SQL databases, data visualization software (e.g., Tableau), and machine learning libraries (such as scikit-learn or TensorFlow) is commonly expected. Curiosity, problem-solving ability, and effective communication help you interpret data insights and collaborate with diverse teams. These skills ensure you can extract meaningful insights from data, contribute to data-driven decision-making, and grow within the analytics field.

What is the difference between Entry Level Data Science vs Data Analyst?

AspectEntry Level Data ScienceData Analyst
Required CredentialsBachelor's in CS, Statistics, or related field; some certificationsBachelor's in Business, Statistics, or related field; certifications optional
Work EnvironmentTech companies, startups, research labsBusiness, marketing, finance sectors
Employer & Industry UsageData-driven roles in tech and researchBusiness insights, reporting, and visualization
Common Search & ComparisonYesYes

Entry Level Data Science and Data Analyst roles often share similar educational backgrounds and work environments. However, data scientists typically focus on building models and advanced analytics, while data analysts concentrate on interpreting data and creating reports. Both roles are essential in data-driven organizations, but they differ in technical complexity and scope.

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 Entry Level Data Science jobs in Riverside, CA? For Entry Level Data Science jobs in Riverside, CA, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Science jobs in Riverside, CA look for? The top searched job categories for Entry Level Data Science jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Entry Level Data Science jobs? Cities near Riverside, CA with the most Entry Level Data Science job openings:
Entry Level Data Science jobs near you
Infographic showing various Entry Level Data Science job openings in Riverside, CA as of May 2026, with employment types broken down into 1% As Needed, 69% Full Time, 26% Part Time, 1% Temporary, and 3% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $41,344 per year, or $19.9 per hour.
Entry level Java spring boot developer/ data scientist

Entry level Java spring boot developer/ data scientist

SynergisticIT

Irvine, CA

Full-time

Posted 18 days ago

Job description

Career Gap? Outdated Tech stack? No Interviews?

Let’s Get you Hired with a Process Many job seekers assume their skills have expired simply because they’ve been out of the workforce or recently laid off. But the truth is, your foundation is still valuable — it just needs sharpening. Despite layoffs and market shifts, the tech industry still needs skilled developers.

The challenge is proving you’re ready to contribute. Rejections can be discouraging, but they don’t reflect your true potential — they reflect your preparation. Re‑entering the tech industry can feel overwhelming, especially after a layoff or career gap.

But you don’t have to do it alone. SynergisticIT gives you a fast, structured path back into the field. If you’ve been unemployed for 3–6+ months—or longer—you’ve probably seen how quickly the market can change.

A career gap or an outdated tech stack can reduce callbacks, even when you have talent. Recruiters may assume your skills are outdated or your confidence is lower. But gaps don’t define ability.

They simply require a strategy: refresh your stack, rebuild proof of work, and re-enter with structure. Since 2010, SynergisticIT has helped candidates return to the workforce and land full-time jobs at major employers—companies like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Intel, Citi, JPMC, Walmart Labs, Deloitte, and more—often with offers between $90,000 and $154,000 depending on role and expertise. Why gaps hurt—and how to neutralize them Employers worry about currency: are your tools current?

Can you still perform? The solution is demonstrating recent, relevant work: projects, certifications, and interview readiness. JOPP helps you rebuild that proof and confidence systematically.

Current role demand (expressed with variety) SynergisticIT commonly supports hiring pipelines for roles such as junior software programmer, Java full stack engineer, Python/Java developer, DevOps/cloud engineer, plus data-track roles like data analyst, BI analyst, data engineer, data scientist, and ML/AI engineer. The focus areas remain: Java / Full Stack / DevOps and Data Analytics / Data Engineering / Data Science / ML/AI. Please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT What Recruiters Look for in Junior Developers | SynergisticIT Software engineering or Data Science as a career?

How OPT Students Can Land Tech Jobs – SynergisticIT Why programs don’t fix gaps Many candidates with gaps try “one more course,” but that rarely changes outcomes. Ideal candidates for gap-to-offer support Professionals returning after layoffs or personal reasons Candidates with limited recent experience but strong potential Recent grads who never launched properly International candidates on F1/OPT with timeline pressure SynergisticIT provides guidance around STEM extension and process support for H-1B/Green Card filing once employed (as applicable through employers). Want to see credibility and event participation?

If you want to explore here are the key links: Event videos (OCW, JavaOne, Gartner): USA Today feature Discover JOPP: Job Placement Program Contact Us https://www.synergisticit.com/contact-us/ A gap isn’t the end of your career. It’s a chapter—and you can write the next one strategically. Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req.

Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don’t want to be contacted please don’t submit your resume.

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