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Data Science Entry Jobs in California (NOW HIRING)

Aston Carter

Data Entry Clerk

San Diego, CA

$22 - $24/hr

Data Entry and Order Administration Specialist This contract role focuses on high-volume order ... Background or experience in the life sciences or biotechnology industry preferred. * Experience ...

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 ...

Aston Carter

Data Entry Clerk

San Diego, CA · Hybrid

$22 - $25/hr

Step into a key support role with a respected biotechnology organization committed to accelerating scientific breakthroughs. As a Customer Data Entry Clerk, you'll help maintain high‑quality ...

Aston Carter

Data Entry Clerk

San Diego, CA · Hybrid

$22 - $25/hr

This contract Data Entry Clerk/Customer Service Representative role focuses on high-volume order administration and customer support for a life sciences-focused organization in San Diego. You will ...

Aston Carter

Data Entry Clerk

San Diego, CA · On-site

$22 - $25/hr

This contract Data Entry Clerk/Customer Service Representative role focuses on high-volume order administration and customer support for a life sciences-focused organization in San Diego. You will ...

Aston Carter

Data Entry Clerk

San Diego, CA · On-site

$22 - $25/hr

Step into a key support role with a respected biotechnology organization committed to accelerating scientific breakthroughs. As a Customer Data Entry Clerk, you'll help maintain high-quality customer ...

Aston Carter

Data Entry Clerk

San Diego, CA · On-site

$22 - $25/hr

Data Entry / Order Administration Specialist This contract role focuses on high-volume order administration and customer service for a life sciences organization. You will enter and manage a large ...

Aston Carter

Data Entry Clerk

San Diego, CA · Hybrid

$22 - $25/hr

Data Entry / Order Administration Specialist This contract role focuses on high-volume order administration and customer service for a life sciences organization. You will enter and manage a large ...

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 ...

Blackstone Talent Group

Scientific Data Curator

San Mateo, CA · On-site

$67K - $67K/yr

... science and data cleaning practices. An ideal candidate has hands-on or coursework exposure to ... data entry. * Participate in periodic reviews with the data sciences and lab teams to refine or ...

Blackstone Talent Group

Scientific Data Curator

Santa Rosa, CA · On-site

$64K - $65K/yr

... science and data cleaning practices. An ideal candidate has hands-on or coursework exposure to ... data entry. * Participate in periodic reviews with the data sciences and lab teams to refine or ...

Wondfo USA

AI Data Support Associate

San Diego, CA · On-site

$22 - $25/hr

... entry, data cleanup, spreadsheet tracking, and documentation organization activities. * Work ... Bachelor's degree in Computer Science, Data Science, Information Systems, Software Engineering, or ...

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Data Science Entry information

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$10

$19

$27

How much do data science entry jobs pay per hour?

As of Jun 28, 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.

How do I become a data scientist with no experience?

To become a data scientist with no experience, focus on building foundational skills in programming (Python or R), statistics, and data analysis through online courses and tutorials. Gaining hands-on experience with projects, participating in competitions like Kaggle, and learning tools such as SQL and machine learning frameworks can help demonstrate your abilities to employers.

Can I work a data entry job with no experience?

Data entry jobs typically require basic computer skills and attention to detail but often do not require prior experience. Many employers offer entry-level positions that provide on-the-job training, making it possible to start without previous experience. Familiarity with tools like spreadsheets and data management software can be helpful.

What types of projects can entry-level data scientists expect to work on, and how do these projects support team goals?

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.

What are Data Science Entry jobs?

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.

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 not always mandatory, candidates typically need relevant coursework, projects, or certifications to demonstrate their skills to employers.

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 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.

Is 40 too late for data science?

Data science entry-level roles do not have an age limit, and many professionals start careers in their 30s or later. Success depends on acquiring relevant skills such as programming, statistics, and data analysis, often through online courses or certifications, regardless of age.
What are popular job titles related to Data Science Entry jobs in California? For Data Science Entry jobs in California, the most frequently searched job titles are:
What job categories do people searching Data Science Entry jobs in California look for? The top searched job categories for Data Science Entry jobs in California are:
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
Data Scientist, Expert

Data Scientist, Expert

Pacific Gas and Electric Company

Oakland, CA • On-site

Full-time

Posted 5 days ago

Pacific Gas and Electric Company rating

9.0

Company rating: 9.0 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

Job description

Requisition ID # 172964
Job Category: Accounting / Finance
Job Level: Individual Contributor
Business Unit: Energy Delivery
Work Type: Hybrid
Job Location: Oakland
Department Overview
The Wildfire Risk Organization is responsible for assisting the company to act decisively and transparently to prevent fires of consequence from being caused by our equipment. The organization will develop objectives to 1) prevent fires of consequence originating from our equipment; 2) meet all commitments outlined in our Wildfire Mitigation Plan; 3) continue to foster trusted relationships with key stakeholders; and 4) develop consistent processes and work standards through the implementation of the Lean Operating System for sustainable operations.
Position Summary
Designs, develops, and executes scripts, programs, models, algorithms, and processes, using structured and unstructured data from disparate sources and sizes, generating for defensible, valid, scalable, reproducible and documented machine learning and artificial intelligence models (predictive or optimization) for problem solving and strategy development. Participates in internal and external communities of practice in data science/artificial intelligence/machine learning to advance knowledge in the field. Educates the non-technical community on advantages, risks, and maturity levels of data science solutions.
This position is hybrid, working from your remote office and your assigned work location based on business need. The assigned work location will be within the PG&E Service Territory. Position will report to Oakland and San Ramon as needed.
PG&E is providing the salary range that the company in good faith believes it might pay for this position at the time of the job posting. This compensation range is specific to the locality of the job. The actual salary paid to an individual will be based on multiple factors, including, but not limited to, specific skills, education, licenses or certifications, experience, market value, geographic location, and internal equity. Although we estimate the successful candidate hired into this role will be placed towards the middle or entry point of the range, the decision will be made on a case-by-case basis related to these factors.
Bay Minimum: $140,000
Bay Maximum: $238,000
&/OR
CA Minimum: $133,000
CA Maximum: $226,000
This job is also eligible to participate in PG&E's discretionary incentive compensation programs.
Job Responsibilities
  • Researches and applies advanced knowledge of existing and emerging data science principles, theories, and techniques to inform business decisions.
  • Creates advanced data mining architectures / models / protocols, statistical reporting, and data analysis methodologies to identify trends in structured and unstructured data sets
  • Extracts, transforms, and loads data from dissimilar sources from across PG&E for their machine learning feature engineering
  • Applies data science/ machine learning /artificial intelligence methods to develop defensible and reproducible predictive or optimization models that involve multiple facets and iterations in algorithm development.
  • Wrangles and prepares data as input of machine learning model development and feature engineering
  • Writes and documents reusable python functions and modular python code for data science.
  • Assesses business implications associated with modeling assumptions, inputs, methodologies, technical implementation, analytic procedures and processes, and advanced data analysis.
  • Works with sponsor departments and company subject matter experts to understand application and potential of data science solutions that create value.
  • Presents findings and makes recommendations to senior management.
  • Act as peer reviewer of complex models

Qualifications
Minimum:
  • Bachelor's Degree in Data Science, Machine Learning, Computer Science, Physics, Econometrics or Economics, Engineering, Mathematics, Applied Sciences, Statistics, or equivalent field
  • 6 years in data science OR no experience, if possess Doctoral Degree or higher, as described above

Desired:
  • Doctorate Degree in Data Science, Machine Learning, or job-related discipline or equivalent experience
  • Relevant industry (electric or gas utility, renewable energy, analytics consulting, etc.) experience
  • Experience in designing and implementing quantitative models to estimate wildfire risk, behavior, fuels, or impacts across spatial and temporal scales.
  • Active participation in the external data science/artificial intelligence/machine learning community of practice, as demonstrated through volunteering in professional organizations for the advancement of the field, presentations in conferences or publications to disseminate data science knowledge and topics, or similar activities.
  • Competency with data science standards and processes (model evaluation, optimization, feature engineering, etc) along with best practices to implement them
  • Knowledge of industry trends and current issues in job-related area of responsibility as demonstrated through peer reviewed journal publications, conference presentations, open source contributions or similar activities
  • Competency with commonly used data science and/or operations research programming languages, packages, and tools for building data science/machine learning models and algorithms
  • Proficiency in explaining in breadth and depth technical concepts including but not limited to statistical inference, machine learning algorithms, software engineering, model deployment pipelines.
  • Mastery in clearly communicating complex technical details and insights to colleagues and stakeholders
  • Mastery of the mathematical and statistical fields that underpin data science
  • Ability to develop, coach, teach and/or mentor others to meet both their career goals and the organization goals

Purpose, Virtues and Stands
Our Purpose explains "why" we exist:
  • Delivering for our hometowns
  • Serving our planet
  • Leading with love

Our Virtues capture "who" we need to be:
  • Trustworthy
  • Empathetic
  • Curious
  • Tenacious
  • Nimble
  • Owners

Our Stands are "what" we will achieve together:
  • Everyone and everything is always safe
  • Catastrophic wildfires shall stop
  • It is enjoyable to work with and for PG&E
  • Clean and resilient energy for all
  • Our work shall create prosperity for all customers and investors

More About Our Company
EEO
Pacific Gas and Electric Company is an Equal Employment Opportunity employer that actively pursues and hires a workforce that reflects the hometowns we serve. All qualified applicants will receive consideration for employment without regard to race, color, national origin, ancestry, sex, age, religion, physical or mental disability status, medical condition, protected veteran status, marital status, pregnancy, sexual orientation, gender, gender identity, gender expression, genetic information or any other factor that is not related to the job.
Employee Privacy Notice The California Consumer Privacy Act (CCPA) goes into effect on January 1, 2020. CCPA grants new and far-reaching privacy rights to all California residents. The law also entitles job applicants, employees and non-employee workers to be notified of what personal information PG&E collects and for what purpose. The Employee Privacy Notice can be accessed through the following link: Employee Privacy Notice
PG&E will consider qualified applicants with arrest and conviction records for employment in a manner consistent with all state and local laws.

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