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

Pwc

AI & GenAI Data Scientist-Senior Associate

Irvine, CA · On-site

$77K - $202K/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 ...

Hire Frontier

Entry Level Office Assistant

Los Angeles, CA · Remote

$60K - $65K/yr

Students pursuing degrees in Business, Human Resources, Computer Science, or related fields are ... Perform general office and clerical duties, including filing, data entry, document preparation, and ...

Hire Frontier

Entry Level Office Assistant

Los Angeles, CA · Remote

$60K - $65K/yr

Students pursuing degrees in Business, Human Resources, Computer Science, or related fields are ... Perform general office and clerical duties, including filing, data entry, document preparation, and ...

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All JobsData Science JobsEntry Level Data Science JobsEntry Level Data Science Jobs in Anaheim, CA

Entry Level Data Science information

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$11

$19

$28

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

As of Aug 9, 2026, the average hourly pay for entry level data science in Anaheim, CA is $19.95, according to ZipRecruiter salary data. Most workers in this role earn between $16.88 and $22.40 per hour, depending on experience, location, and employer.

What is an entry level data scientist?

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 Anaheim, CA? The most popular types of Data Science jobs in Anaheim, CA are:
What are popular job titles related to Entry Level Data Science jobs in Anaheim, CA? For Entry Level Data Science jobs in Anaheim, CA, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Science jobs in Anaheim, CA look for? The top searched job categories for Entry Level Data Science jobs in Anaheim, CA are:
What cities near Anaheim, CA are hiring for Entry Level Data Science jobs? Cities near Anaheim, 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 Anaheim, CA as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $41,488 per year, or $19.9 per hour.

Entry-Level Data Analyst (Fully Remote + Bonus)

CMH Forklift

Los Angeles, CA • Remote

$28.45 - $38.90/hr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 2 days ago

New

Job description

💼 Full-Time | Remote | Career Growth | Competitive Pay

Paid Training • Performance Bonuses • Professional Development • Benefits

Build Your Career in Data Analytics

Are you analytical, curious, and comfortable working with numbers and information? We're looking for a motivated Entry-Level Data Analyst to join our team and help turn everyday business data into useful insights.

This is an excellent opportunity for someone starting a career in data analytics, business operations, finance, customer insights, or reporting. Paid training is provided, so candidates who demonstrate strong analytical thinking, attention to detail, and a willingness to learn are encouraged to apply.

You'll work with spreadsheets, databases, reports, and business information while collaborating with different teams to help identify trends, improve processes, and support better business decisions.

Benefits Perks

  • Paid training and onboarding

  • Competitive compensation

  • Performance-based bonus opportunities

  • Paid Time Off (PTO)

  • Paid company holidays

  • Health, dental, and vision benefits for eligible employees

  • 401(k) retirement plan where applicable

  • Professional development opportunities

  • Employee recognition programs

  • Career advancement opportunities

What You'll Do

  • Collect, organize, and maintain business data from multiple sources.

  • Enter, verify, and clean data to ensure accuracy and consistency.

  • Analyze datasets to identify trends, patterns, and potential issues.

  • Prepare recurring reports, summaries, and dashboards.

  • Use Microsoft Excel and other business tools to organize and analyze information.

  • Track key performance indicators (KPIs) and operational metrics.

  • Assist with data quality checks and resolve discrepancies.

  • Support forecasting, reporting, and business-performance projects.

  • Work with internal teams to understand reporting requirements.

  • Present findings and observations in clear, easy-to-understand formats.

  • Maintain confidentiality when handling company and customer information.

  • Assist with other analytical and administrative projects as assigned.

Required

  • High school diploma or equivalent.

  • Strong attention to detail.

  • Comfortable working with numbers and information.

  • Good written and verbal communication skills.

  • Basic Microsoft Excel or spreadsheet knowledge.

  • Strong organizational and time-management skills.

  • Ability to learn new software and systems quickly.

  • Reliable, professional, and able to meet deadlines.

Preferred — Not Required

  • Associate's or Bachelor's degree in Data Analytics, Business, Finance, Statistics, Computer Science, Economics, or a related field.

  • Experience with Excel formulas, PivotTables, or data visualization.

  • Familiarity with SQL, Power BI, Tableau, or similar analytics tools.

  • Previous internship, administrative, customer service, finance, or data-entry experience.

Don't have every preferred qualification? Apply anyway. Training is provided.

Paid Training Development

Your training may include:

  • Data entry and data-quality procedures

  • Microsoft Excel and spreadsheet analysis

  • Reporting and dashboard fundamentals

  • CRM and ERP systems

  • Business intelligence fundamentals

  • KPI and performance reporting

  • Data privacy and confidentiality

  • Internal reporting procedures

  • Professional communication