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Data Science Entry Jobs in California (NOW HIRING)

PSG Global Solutions

Data Entry Specialist

Sacramento, CA · On-site

$18.50 - $24.75/hr

Data Entry Specialist A top provider of outsourcing, staffing, consulting and workforce solutions ... sciences, manufacturing and logistics, office and administration and sales and marketing. JOB ...

Glean

Senior Data Scientist, Growth

San Francisco, CA · Hybrid

$200K - $260K/yr

Glean is building a world-class data organization spanning data science, applied science, data ... optimizing high-traffic entry surfaces, improving feature discovery, developing lifecycle ...

Glean

Senior Data Scientist, Growth

Mountain View, CA · Hybrid

$200K - $260K/yr

Glean is building a world-class data organization spanning data science, applied science, data ... optimizing high-traffic entry surfaces, improving feature discovery, developing lifecycle ...

PSG Global Solutions

Data Entry Specialist

Folsom, CA

$18.25 - $24.25/hr

... sciences, manufacturing and logistics, office and administration and sales and marketing. JOB ... Performs data entry functions with the use of imaged documents. 5. Accurately data enters all ...

BioPhase Solutions

Data Entry Clerk

Los Angeles, CA · Hybrid

$28 - $32/hr

BioPhase Solutions specializes in recruiting top talented professionals for Southern California's Scientific community. We are currently looking for a Data Entry Clerk (temp) to work for a leading ...

CYNET SYSTEMS

Data Entry Clerk II

Pine Valley, CA · On-site

$22 - $27/hr

Data entry of employee hours worked into the timekeeping system (MyTime) and records keeping and ... We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and ...

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 ...

SteerBridge

Data Engineer

San Diego, CA

$105K - $125K/yr

... entry and indexing practices. You will be a crucial link between our existing systems and data development, collaborating closely with data scientists, analysts, and operational partners. Key ...

SteerBridge

Data Engineer

San Diego, CA

$129K - $156K/yr

... entry and indexing practices. You will be a crucial link between our existing systems and data development, collaborating closely with data scientists, analysts, and operational partners. Key ...

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All JobsData Science Entry JobsData Science Entry Jobs in California

Data Science Entry information

See California salary details

$10

$19

$27

How much do data science entry jobs pay per hour?

As of Aug 24, 2026, the average hourly pay for data science entry in California is $19.22, according to ZipRecruiter salary data. Most workers in this role earn between $16.15 and $21.59 per hour, depending on experience, location, and employer.

What is an entry-level data scientist?

Data Science Entry jobs are positions designed for individuals who are new to the field of data science, often recent graduates or career changers. These roles typically involve working with data to extract insights, performing basic data cleaning, exploratory analysis, and supporting more senior data scientists. Entry-level data scientists may use tools like Python, R, SQL, and data visualization platforms. The goal is to build foundational skills in data analysis, statistics, and machine learning while contributing to projects under supervision.

What skills and qualifications are needed to thrive as an entry-level data scientist?

To thrive as an Entry-Level Data Scientist, you need a solid foundation in statistics, programming (typically Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with tools like SQL, data visualization platforms (e.g., Tableau), and machine learning frameworks (such as scikit-learn or TensorFlow) is highly valued. Strong problem-solving abilities, curiosity, and effective communication skills help you translate complex data insights into actionable business recommendations. These competencies are crucial for extracting value from data, driving informed decisions, and succeeding in collaborative, data-driven environments.

What types of projects do entry-level data scientists work on?

As an entry-level data scientist, you will typically work on projects such as data cleaning, exploratory data analysis, building simple predictive models, and creating data visualizations. These tasks are foundational and help support the broader team by preparing datasets, uncovering actionable insights, and ensuring data quality. You'll often collaborate with more experienced data scientists, engineers, and business analysts, contributing to larger projects and gradually taking on more responsibility as you gain experience. This collaborative environment helps you learn best practices and understand how your work impacts the organization's objectives.

Can a data science entry-level position be entry-level?

Yes, data science entry-level positions are designed for candidates with minimal professional experience, often requiring skills in programming languages like Python or R, and familiarity with data analysis tools. These roles typically involve learning on the job and may require a relevant degree or certification, such as a data science bootcamp or coursework.

Is it possible to get a data science job with no experience?

Entry-level data science positions often require some knowledge of programming, statistics, and data analysis tools like Python or R. While prior experience is helpful, candidates can improve their chances by completing relevant coursework, certifications, or projects to demonstrate skills to employers.

What cities in California are hiring for Data Science Entry jobs?

Cities in California with the most Data Science Entry job openings:

Data Science Entry jobs near you
Infographic showing various Data Science Entry job openings in California as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $39,974 per year, or $19.2 per hour.

Senior Data Scientist, Google Maps Growth

Socket.dev

Mountain View, CA • On-site

$163 - $236/hr

Other

Posted 17 days ago

Job description

Minimum qualifications:
  • Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
  • 8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 5 years work experience with a Master's degree).
Preferred qualifications:
  • Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
  • 8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL).
About the job:

Geo Consumer Data Scientists mission is to drive positive user and business outcomes at Geo by enabling and advocating data driven decision making. We partner closely across all functions to ensure that the teams work and ambition aligns with themes at the Geo level and to guide our investments in growing our data science capabilities.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $163000 - $236000 (USD) + 15% bonus target + equity + benefits

Responsibilities:
  • Lead Product Data Science for Reach Growth as a counterpart to a cross-functional team, enforcing measurement frameworks, owning experimentation, and conducting in-depth investigations to understand trends and steer product strategy.
  • Identify and quantify opportunities to optimize key geospatial user journeys across entry points and ingress channels by performing logs-based analyses across data sources, running experiments, and influencing stakeholders.
  • Model cross-Product Area user journeys and conduct analyses on evolving engagement dynamics to eliminate gaps in strategy across Google.
  • Define and implement success metrics frameworks to enable cross-Product Area decision-making and measure the impact of new growth integrations. Present metrics and insights at executive reviews.
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