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

Muon Space

Software Engineer, Entry-Level

San Jose, CA

$142K - $169K/yr

... data pipelines, computer vision, signal processing, cloud systems and more. They make it possible ... A bachelor's degree in computer science, aerospace engineering, computational mathematics or a ...

Muon Space

Software Engineer, Entry-Level

San Jose, CA · On-site

$142K - $169K/yr

... data pipelines, computer vision, signal processing, cloud systems and more. They make it possible ... A bachelor's degree in computer science, aerospace engineering, computational mathematics or a ...

Muon Space

Software Engineer, Entry-Level

San Jose, CA · On-site

$142K - $169K/yr

... data pipelines, computer vision, signal processing, cloud systems and more. They make it possible ... A bachelor's degree in computer science, aerospace engineering, computational mathematics or a ...

Ohalo

Agronomy & Field Trial Technician

Corralitos, CA

$24 - $33/hr

... and data collection. This is an entry-level, hands-on role ideal for someone eager to build a ... Coursework or hands-on experience in agronomy, plant science, horticulture, or a related field.

Ohalo

Agronomy & Field Trial Technician

Watsonville, CA · On-site

$24 - $33/hr

... and data collection. This is an entry-level, hands-on role ideal for someone eager to build a ... Coursework or hands-on experience in agronomy, plant science, horticulture, or a related field.

Ohalo

Agronomy & Field Trial Technician

Watsonville, CA · On-site

$24 - $33/hr

... and data collection. This is an entry-level, hands-on role ideal for someone eager to build a ... Coursework or hands-on experience in agronomy, plant science, horticulture, or a related field.

Ohalo

Agronomy & Field Trial Technician

Aptos, CA

$24 - $33/hr

... and data collection. This is an entry-level, hands-on role ideal for someone eager to build a ... Coursework or hands-on experience in agronomy, plant science, horticulture, or a related field.

Raytheon

RF Mechanical Engineer II

San Jose, CA

This is an entry-level Mechanical Engineer position for an individual with educational experience ... Typically requires a Bachelor's in Science, Technology, Engineering, or Mathematics (STEM) and a ...

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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 Aug 19, 2026, the average hourly pay for entry level data science in Gilroy, CA is $20.16, according to ZipRecruiter salary data. Most workers in this role earn between $17.07 and $22.64 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 Gilroy, CA?

The most popular types of Data Science jobs in Gilroy, CA are:

What are popular job titles related to Entry Level Data Science jobs in Gilroy, CA?

For Entry Level Data Science jobs in Gilroy, CA, the most frequently searched job titles are:

What job categories do people searching Entry Level Data Science jobs in Gilroy, CA look for?

The top searched job categories for Entry Level Data Science jobs in Gilroy, CA are:

What cities near Gilroy, CA are hiring for Entry Level Data Science jobs?

Cities near Gilroy, 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 Gilroy, CA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $41,938 per year, or $20.2 per hour.

Software Engineer, Entry-Level

Muon Space

San Jose, CA

$142K - $169K/yr

Full-time

Posted 13 days ago

Job description

About the role

Software Engineers at Muon work on embedded software on satellites and test equipment, physics simulations, customer-facing APIs and services, user interfaces, scheduling algorithms, data pipelines, computer vision, signal processing, cloud systems and more. They make it possible to build, test, launch, and run constellations of satellites for a wide variety of missions.

Entry-level software engineers are expected to bring significant skills and training, and then to quickly develop into experts in their domains to accelerate Muon's Mission with high quality software and systems. They must be a high performer ready to work in an exciting, fast-paced environment that values continuous improvement, embraces taking risks, and crafts the right solutions to delight our customers.

This position is hybrid and requires working on-site in our San Jose, CA office three days per week.

Responsibilities
  • Take ownership of the code for a new software capability on ground or in space
  • Propose and iterate on the design for software components
  • Write tests and monitoring to validate correctness of one's own code
  • Conduct analysis to support both development and testing
  • Quickly learn new skills, technology and techniques
  • Communicate clearly and accurately
  • Complete work in a timely manner
Required Qualifications
  • A bachelor's degree in computer science, aerospace engineering, computational mathematics or a related field
  • Proficient in C++, Python, TypeScript or a similar high-level language
  • Coursework or relevant experience in operating systems, algorithms, data structures, physics and statistics
Desirable Qualifications
  • Expertise in embedded software, network protocols, hardware and software testing, FPGA programming, GPU programming or other relevant disciplines
  • Experience with satellites, robots, or other autonomous systems
  • Previous experience on technical project teams (i.e. programming, robotics or rocket club, etc.)
  • Understanding of orbital mechanics
  • Experience with mathematical optimization, machine learning, signal processing or advanced algorithms
  • Experience with cloud environments and distributed systems
  • Advanced coursework or experience in physics, statistics, distributed systems, or embedded software
Salary

The salary range for this role is $142,000 - $169,000, plus a competitive equity grant and comprehensive benefits package. Final compensation will be determined based on skills, qualifications, experience, and geographic location as assessed during the interview process. 

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