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

SynergisticIT

data (Entry Level)

San Francisco, CA · On-site

$20 - $26.75/hr

From staffing to full implementation of projects we provide the highest quality IT Services. We Focus on Java/Full stack and Data Science/Machine learning/Python/AI candidates. You'll be responsible ...

Intellectt INC

Entry Level Lab Technician

Alameda, CA · On-site

... data entry of investigation results is a primary part of the job. • Ability to focus while ... Science is a great fit for this job. • Recent college graduates with a Bachelor's degree in ...

Wood Plc

Entry-Level Environmental Geologist

Oakland, CA · On-site

Overview / Responsibilities Are you looking to start your career in Environmental Geology/Science ... Perform data review and management * Draft portions of reports documenting field and other efforts ...

Pwc

IT Audit/SOX - Senior Associate

San Francisco, CA

$77K - $202K/yr

Accounting, Analytics/Data Science, Business Administration/Management, Computer Science ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Intertek

Entry Level Environmental Technician

Oakland, CA · On-site

$22 - $25/hr

Coordinate Project Data / Records / Reports related to the work assignments * Participate in all QA ... AS or BS Degree in Environmental Science, Engineering, Geology, Biology, Chemistry, or some ...

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

Entry Level Data Science information

See Berkeley, CA salary details

$12

$23

$32

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

As of Jul 26, 2026, the average hourly pay for entry level data science in Berkeley, CA is $23.33, according to ZipRecruiter salary data. Most workers in this role earn between $19.71 and $26.20 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 Berkeley, CA? The most popular types of Data Science jobs in Berkeley, CA are:
What are popular job titles related to Entry Level Data Science jobs in Berkeley, CA? For Entry Level Data Science jobs in Berkeley, CA, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Science jobs in Berkeley, CA look for? The top searched job categories for Entry Level Data Science jobs in Berkeley, CA are:
What cities near Berkeley, CA are hiring for Entry Level Data Science jobs? Cities near Berkeley, 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 Berkeley, CA as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $48,524 per year, or $23.3 per hour.
data (Entry Level)

data (Entry Level)

SynergisticIT

San Francisco, CA • On-site

$20 - $26.75/hr

Other

Posted 20 days ago

Job description

Job Title

Synergistic IT is an organization focusing on providing technically skilled and competent candidates to clients in Northern America and Canada for the past 11 years. From staffing to full implementation of projects we provide the highest quality IT Services. We Focus on Java/Full stack and Data Science/Machine learning/Python/AI candidates.

You'll be responsible for designing, coding and improving web pages, programs, and applications. Long term positions with excellent pay rates. No relocation Active positions with Fortune 500 Clients Able to convert our company needs in functional and user-friendly websites and programs

The Requirements:

  • BS/MS/AS in CS/IT/CE
  • Ability to perform in a team environment
  • For Data Scientists/Machine learning roles:
  • Python
  • Django
  • Deep Learning
  • NLP

Benefits of working with our clients: E-Verified. Our Candidates always get projects with well-known IT firms like Google, Apple, PayPal, Amazon, etc. (Top Fortune Clients)

Kindly research us at www.synergisticit.com Our screening process will consist of a verbal and written technical assessment to shortlisting candidates. Interested candidates please apply No phone calls.

Regards, Vaibhavi Shinde vaibhavi@synergisticit.com Talent Acquisition Specialist

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