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

... Biomedical Science, Computer and Information Science, Data Processing/Analytics/Science ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

We're looking for a highly motivated Entry-Level Sales Development Representative to join our team ... Building trusted relationships with our network of engineering and sciences companies under our ...

We're looking for a highly motivated Entry-Level Sales Development Representative to join our team ... Building trusted relationships with our network of engineering and sciences companies under our ...

Many of our executive leadership team have been promoted from entry-level positions ... These may include: client contact forms, CANS, service activity summaries, data tracking, daily ...

We go beyond typical data-driven approaches or pure transformer-only architectures, combining ... Bachelors Degree in Computer Science or other relevant field * 2+ years of experience in QA, ...

We go beyond typical data-driven approaches or pure transformer-only architectures, combining ... Bachelors Degree in Computer Science or other relevant field * 2+ years of experience in QA, ...

We go beyond typical data-driven approaches or pure transformer-only architectures, combining ... Bachelors Degree in Computer Science or other relevant field * 2+ years of experience in QA, ...

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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 Jul 2, 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.

Is 40 too late for data science?

Entry level data science roles are open to candidates of all ages, including those starting a career at 40 or older. Success depends on acquiring relevant skills such as programming, statistics, and data analysis, often through online courses or certifications, regardless of age.

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.

How do I become a data scientist with no experience?

To become an entry-level data scientist with no experience, focus on building foundational skills in programming languages like Python or R, and learn data analysis and visualization tools such as SQL and Tableau. Completing online courses, working on personal projects, and participating in competitions like Kaggle can demonstrate your abilities and help you gain practical experience. Earning relevant certifications and creating a strong portfolio can improve your chances of entering the field.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or features. Entry level data scientists often focus on identifying the most impactful variables or tasks to optimize model performance and efficiency.

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.

Can I get a data scientist job with no experience?

Entry-level data science positions often require some knowledge of programming languages like Python or R, and familiarity with data analysis tools. While prior experience is not always mandatory, demonstrating relevant skills through projects, certifications, or coursework can improve your chances of securing an entry-level role.
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:
Infographic showing various Entry Level Data Science job openings in Riverside, CA as of June 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $41,344 per year, or $19.9 per hour.
Supply Chain Execution Senior Associate

Supply Chain Execution Senior Associate

Pwc

Irvine, CA

$77K - $202K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 20 days ago


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 75 frontline employees who took The Breakroom Quiz

21st of 58 rated business consultants


Job description

Industry/Sector

Not Applicable

Specialism

Operations

Management Level

Senior Associate

Job Description & Summary

The Opportunity
As a Supply Chain Execution Senior Associate, you will play a pivotal role in transforming our clients' supply chains into strategic assets. Within our Operations Consulting practice, you will focus on optimizing operations to drive growth and profitability, working on product innovation, supply chain management, procurement, and logistics. Your efforts will help clients develop integrated business planning solutions and manage transportation and distribution effectively.
As a Senior Associate, you will leverage your problem-solving skills and critical thinking to navigate complex business issues. You will build meaningful client relationships and guide junior team members, fostering a collaborative environment. Your role will involve analyzing complex concepts and using a broad range of tools to generate insights and solve problems. You will also be expected to maintain professional standards and uphold the firm's code of ethics.
In this role, you will have the opportunity to develop your personal brand and technical skills while contributing to the firm's overall business strategies. You will be exposed to diverse perspectives and environments, enhancing your ability to adapt and grow in a constantly changing world.
Responsibilities
- Developing and implementing supply chain strategies to optimize operations and drive competitive advantage
- Collaborating with clients to transform supply chains into strategic assets through innovative solutions
- Managing transportation and distribution to enhance logistics efficiency and reduce costs
- Utilizing analytical thinking to extract insights from industry trends and inform decision-making
- Leading initiatives in procurement and sourcing to improve supply chain performance
- Overseeing inventory management and establishing inventory levels to meet client needs
- Applying cost management techniques to enhance financial performance within supply chain operations
- Engaging in process improvement and operational excellence to streamline manufacturing operations
- Supporting the development of integrated business planning solutions to align with client objectives
- Building and maintaining quality relationships with clients to understand and anticipate their needs
What You Must Have
- At least a Bachelor's degree
- At least 2 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Aerospace Engineering, Automotive Engineering, Biomedical Engineering, Chemical Engineering, Computer Engineering, Engineering, Engineering Mechanics, Engineering Physics, Industrial and Operations Engineering, Industrial Engineering, Materials Science and Engineering, Mechanical Engineering, Production Engineering, Project Engineering & Management, Biomedical Science, Computer and Information Science, Data Processing/Analytics/Science
- Demonstrating proficiency in supply chain management software
- Utilizing strategic sourcing and procurement techniques
- Excelling in logistics and inventory management
- Analyzing market trends for operational excellence
- Developing process improvement strategies for supply chain transformation
- Embracing change and innovation in supply chain consulting

Travel Requirements

Up to 60%

Job Posting End Date

The salary range for this position is: $77,000 - $202,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

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