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

Stantec

Building Science Consultant

San Francisco, CA · On-site

$85.40K - $119.60K/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 ...

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 ...

VOLT

Entry Level Test Operators

Fremont, CA · On-site

$21.50/hr

Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You ... You can access our privacy policy at volt-information-sciences-privacy-policy.pdf

VOLT

Entry Level Test Operators

Fremont, CA · On-site

$21.50 - $23.50/hr

Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You ... You can access our privacy policy at volt-information-sciences-privacy-policy.pdf

VOLT

Entry Level Shippers

Fremont, CA · On-site

$21 - $23/hr

Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You ... You can access our privacy policy at volt-information-sciences-privacy-policy.pdf #WRM

Inizio

Pharmaceutical Field Sales Representative

San Jose, CA · On-site

$23.50 - $32.25/hr

This is an excellent entry-level role in the healthcare and pharmaceutical industries. The team ... with data, science, and technology to deliver bespoke engagement solutions that help clients ...

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

As of May 31, 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.

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 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 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.

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.

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

Strategic Projects Associate - Coding

AfterQuery

San Francisco, CA • On-site

$110K - $120K/yr

Full-time

Posted 22 days ago

Job description

Technical Strategic Projects Associate
AfterQuery is seeking exceptional candidates for our Technical Strategic Projects Associate position. This is not a typical operations role - you'll work directly with our founding team on high-priority technical and operational projects that directly support our work with frontier AI labs.
Company Overview
AfterQuery is a research lab investigating the boundaries and capabilities of artificial intelligence through novel datasets and experimentation. Our customers are the foundation model labs-we serve all of the frontier AI labs.
We are based in San Francisco, CA, and have raised funding from top investors, including Y Combinator and BoxGroup, ex-partners from Lightspeed and Index Ventures, and senior leadership at Google DeepMind and Meta GenAI.
Our founding team brings backgrounds from Jane Street, Meta, Citadel Securities, Google, Goldman Sachs, Morgan Stanley, Silver Lake, Berkeley Artificial Intelligence Research (BAIR), and Stanford Artificial Intelligence Laboratory (SAIL).
Why Apply
Massive Opportunity: We were one of the fastest growing YC companies in our batch, and we believe we can be one of the fastest growing YC companies of all time
Founding role-early hire with significant equity and direct exposure to founders
Equity & Growth - Competitive salary + meaningful equity with clear path to advancement
Strong Team: You get to work with the best :)
The Opportunity
  • Develop deep AI fluency and hands-on technical skills working with cutting-edge AI tools
  • Build a network of frontier AI researchers, builders, and investors
  • Learn how to scale a company from the ground up with direct mentorship from the founding team
  • Fast-track alternative to traditional entry-level consulting, banking, or tech rotational programs

Responsibilities
  • Partner with frontier AI labs to coordinate dataset generation projects, manage timelines, and ensure delivery excellence
  • Build and maintain operational tools using AI (ChatGPT, Claude Code) and scripting to automate workflows, track metrics, and improve efficiency
  • Manage teams of technical experts across domains like software engineering, data science, and machine learning
  • Create technical documentation, project briefs, and data samples for customer presentations
  • Support product development by gathering technical requirements, coordinating testing, and tracking feature releases
  • Analyze operational metrics and build lightweight dashboards to monitor project health and team performance
  • Drive process improvements and build systems to scale operations as the company grows
  • Interface with engineering and research teams on technical and operational coordination

Required Qualifications
  • Strong interest in AI and technical fluency-comfortable using AI tools like ChatGPT, Claude Code, and learning new technologies quickly
  • Excellent written and verbal communication skills; ability to interface with technical and non-technical stakeholders
  • Extreme ownership, agency, and ability to operate independently with minimal supervision
  • Ability to learn rapidly, iterate, and thrive in ambiguous environments
  • Strong organizational skills and attention to detail
  • Collaborative mindset with ability to coordinate across teams
  • Proficiency in Microsoft Office, Google Workspace, and knowledge of technical tools

Preferred Qualifications
  • Background in software engineering, ML engineering, AI research, or computer science
  • Full-time or internship experience at a top tech company (FAANG, frontier AI lab) or quantitative trading firm
  • Prior startup experience or founding experience
  • Willingness to work long hours and weekends when projects demand it

Apply