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

Kla

Data Scientist (Entry Level) - GSCS

Milpitas, CA · On-site

$67K - $114K/yr

Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Data Analytics, or a related quantitative field and 0 years related work experience Base Pay Range: $67,400.00 - $114,600 ...

New

Orbotech

Data Scientist (Entry Level) - GSCS

Milpitas, CA · On-site

$67K - $114K/yr

Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Data Analytics, or a related quantitative field and 0 years related work experience Base Pay Range: $67,400.00 - $114,600 ...

New

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 ...

Stantec

Building Science Consultant

San Francisco, CA · On-site

$85K - $119K/yr

This is a full-time, entry-level to early-career position that offers exposure to a wide range of ... data organization. * Provide drafting and design support for contract documents using AutoCAD and ...

Stantec

Building Science Consultant

San Francisco, CA · On-site

$85K - $119K/yr

This is a full-time, entry-level to early-career position that offers exposure to a wide range of ... data organization. * Provide drafting and design support for contract documents using AutoCAD and ...

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Entry Level Data Science information

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

As of Jul 14, 2026, the average hourly pay for entry level data science in San Ramon, CA is $21.29, according to ZipRecruiter salary data. Most workers in this role earn between $17.98 and $23.89 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 San Ramon, CA? The most popular types of Data Science jobs in San Ramon, CA are:
What are popular job titles related to Entry Level Data Science jobs in San Ramon, CA? For Entry Level Data Science jobs in San Ramon, CA, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Science jobs in San Ramon, CA look for? The top searched job categories for Entry Level Data Science jobs in San Ramon, CA are:
What cities near San Ramon, CA are hiring for Entry Level Data Science jobs? Cities near San Ramon, 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 San Ramon, CA as of July 2026, with employment types broken down into 100% Full Time. Highlights an 80% In-person, and 20% Hybrid job distribution, with an average salary of $44,287 per year, or $21.3 per hour.
Data Scientist (Entry Level) - GSCS

Data Scientist (Entry Level) - GSCS

Kla

Milpitas, CA • On-site

$67K - $114K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago

New

Job description

Company Overview

KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world's leading technology providers to accelerate the delivery of tomorrow's electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us.

Job Description/Preferred Qualifications

We are seeking an early-career Data Scientist to join our Digital Solutions & Analytics team, building data-driven solutions on KLA's Global Supply Chain Services (GSCS) Foundry instance. You'll learn to design pipelines, model real-world entities in the Ontology, and build operational applications that teams use to make decisions daily. With mentorship from senior FDEs, you'll grow into a fully internally developed engineer.

This is an opportunity to accelerate your development in a team that prioritizes technical excellence, mentorship, and continuous learning.

What You'll Do:

  • Build and maintain data pipelines that integrate, clean, and transform supply chain data

  • Design Ontology models that represent real-world operations (parts, shipments, suppliers)

  • Create applications andworkflowsfor business users

  • Support AI-powered workflows (summarization, recommendations, automation) using AIP

  • Partner with business teams to translate operational problems into platform solutions

  • Progress through structured FDE development milestones

What You'll Bring

  • Proficiency in Python and SQL

  • Comfort with data modeling and working with structured datasets

  • Strong problem-solving skills and intellectual curiosity, with the ability to take ambiguous problems and translate them into structured analytical approaches

  • Ability to communicate technical concepts and insights clearly

  • Eagerness to learn, take feedback, and grow in a team-oriented environment

Bonus

  • Experience with data pipelines, ETL, or version control (GIT)

  • Exposure to manufacturing, supply chain, or operations domains

  • Interest in AI/ML and applying it to enterprise workflows

  • Palantir Foundry exposure

Minimum Qualifications

  • Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Data Analytics, or a related quantitative field and 0 years related work experience

Base Pay Range: $67,400.00 - $114,600.00 AnnuallyPrimary Location: USA-CA-Milpitas-KLAKLA's total rewards package for employees may also include participation in performance incentive programs and eligibility for additional benefits including but not limited to: medical, dental, vision, life, and other voluntary benefits, 401(K) including company matching, employee stock purchase program (ESPP), student debt assistance, tuition reimbursement program, development and career growth opportunities and programs, financial planning benefits, wellness benefits including an employee assistance program (EAP), paid time off and paid company holidays, and family care and bonding leave.

Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level, and location. The range displayed reflects the pay for this position in the primary location identified in this posting. Actual pay depends on several factors, including state minimum pay wage rates, location, job-related skills, experience, and relevant education level or training. We are committed to complying with all applicable federal and state minimum wage requirements where applicable. If applicable, your recruiter can share more about the specific pay range for your preferred location during the hiring process.

KLA is proud to be an Equal Opportunity Employer. We will ensure that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us at talent.acquisition@kla.com or at +1-408-352-2808 to request accommodation.

Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees. KLA never asks for any financial compensation to be considered for an interview, to become an employee, or for equipment. Further, KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA. Please ensure that you have searched KLA's Careers website for legitimate job postings. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers. If you are concerned that a communication, an interview, an offer of employment, or that an employee is not legitimate, please send an email to talent.acquisition@kla.com to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.

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