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

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

As of Sep 14, 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.

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.

Are there entry-level data science roles?

Yes, entry-level data science roles are available and typically require foundational skills in programming, statistics, and data analysis, often using tools like Python or R. These positions are suitable for recent graduates or those transitioning into data science and may involve internships or junior analyst roles to gain experience.

How to start a career in entry level data science with no experience?

To start a career in entry level data science 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, earning certifications, and working on personal projects or internships can demonstrate your abilities to employers and help you gain practical experience.

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 August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 17% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $48,524 per year, or $23.3 per hour.

Associate Staff Scientist

Menlo Park, CA • On-site

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This job post has expired 2 days ago. Applications are no longer accepted.

Job description

The ATLAS Department in the Fundamental Physics Directorate of the SLAC National Accelerator Laboratory (SLAC) seeks an outstanding candidate for an Associate Staff Scientist position. The successful candidate is expected to play a leading role in the construction of the ATLAS Tracker (ITk) of the LHC High Luminosity Upgrade.

The ITk will comprise a pixel detector surrounded by a strip detector. The innermost two layers of the pixel detector are designed to be replaceable and are designated as the Pixel Inner System. The Inner System is the US deliverable to the ITk Pixel Upgrade. SLAC is responsible for the loading of the modules on local supports and the integration of the loaded local supports into large mechanical structures called quarter-shells. The Inner System will be assembled into two EndCaps and a Barrel which will be subsequently shipped to CERN for final assembly. SLAC is also responsible for the development and the fabrication of the high speed data transmission cables and an electrical patch panel located in the heart of the detector.

The successful candidate is expected to be involved in all the loading and integration activities and work closely with the whole ATLAS ITk team which consists of about 15 people. The successful candidate will also have the option to contribute to physics analysis.

We are looking to a Ph.D. in Physics or relevant subject. Experience with detector hardware is required. Experience of managing teams of engineers, technicians, physicists is highly recommended.

The Associate Scientist position is the entry level in the Staff Scientist career path. The Associate Scientist is a 3 to 5 year fixed term research staff position. The second level of this career path, Staff Scientist is a regular continuing position. The Associate position is scheduled to be assessed after the 3 to 5 year period with the possibility of appointment to the Staff Scientist level. Appointment to the Staff Scientist level requires a review and evaluation of documented scientific achievement.

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