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Entry Level Data Scientist Jobs in Goleta, CA (NOW HIRING)

This is an entry-level position ideally suited for recent graduates who enjoy hands-on laboratory work, scientific experimentation, data analysis, and problem solving. Working closely with engineers ...

This is an entry-level position ideally suited for recent graduates who enjoy hands-on laboratory work, scientific experimentation, data analysis, and problem solving. Working closely with engineers ...

This is an entry-level position ideally suited for recent graduates who enjoy hands-on laboratory work, scientific experimentation, data analysis, and problem solving. Working closely with engineers ...

Our mission is to deliver practical, science-based environmental and planning solutions that ... About The Role Rincon Consultants, Inc. is seeking an entry-level GIS Analyst to join our Data and ...

Entry Level Data Scientist information

See Goleta, CA salary details

$49.6K

$178K

$262.7K

How much do entry level data scientist jobs pay per year?

As of Aug 29, 2026, the average yearly pay for entry level data scientist in Goleta, CA is $178,048.00, according to ZipRecruiter salary data. Most workers in this role earn between $144,000.00 and $183,400.00 per year, depending on experience, location, and employer.

What is the difference between Entry Level Data Scientist vs Data Analyst?

AspectEntry Level Data ScientistData Analyst
Required CredentialsBachelor's in CS, Statistics, or related field; some knowledge of programming and machine learningBachelor's in Business, Statistics, or related field; strong Excel, SQL, and visualization skills
Work EnvironmentCollaborates with data science teams, uses programming languages like Python or R, focuses on predictive modelingWorks with business teams, uses SQL, Excel, and BI tools, focuses on reporting and data visualization
Employer & Industry UsageTech companies, finance, healthcare, startupsRetail, marketing, finance, healthcare, government

Entry Level Data Scientists and Data Analysts often share foundational skills like SQL and data visualization. However, data scientists typically focus on building predictive models and machine learning algorithms, requiring programming knowledge, while data analysts concentrate on interpreting data through reports and dashboards. Both roles are essential in data-driven organizations but differ in technical depth and project scope.

Can an entry level data scientist be entry-level?

Yes, an entry-level data scientist position is designed for individuals starting their careers in data science, often requiring minimal professional experience and foundational skills in programming, statistics, and data analysis tools. These roles typically focus on learning and developing skills such as Python, R, SQL, and machine learning basics under supervision.

How to get an entry level data scientist job with no experience?

To secure an entry-level data scientist position with no experience, focus on building a strong foundation in programming languages like Python or R, and learn key tools such as SQL and machine learning libraries. Completing relevant online courses, earning certifications, and working on personal or open-source projects can demonstrate skills to employers. Internships, volunteering, or participating in data competitions also provide practical experience and improve job prospects.
More about Entry Level Data Scientist jobs

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

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Cities near Goleta, CA with the most Entry Level Data Scientist job openings:

Infographic showing various Entry Level Data Scientist job openings in Goleta, CA as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 18% Part Time, 1% Temporary, and 2% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $178,048 per year, or $85.6 per hour.

Development Engineer I

Waters Corporation

Goleta, CA • On-site

Other

Posted 18 days ago


Job description

Overview
Join a dynamic R&D team focused on developing the next generation of analytical instruments for the characterization of macromolecules, nanoparticles, and complex biological systems. As a Development Engineer I - Evaluation, you will support the testing, verification, and validation of new instrument platforms and technologies, with a primary focus on light scattering and chromatography-based analytical systems.
This is an entry-level position ideally suited for recent graduates who enjoy hands-on laboratory work, scientific experimentation, data analysis, and problem solving. Working closely with engineers, scientists, and cross-functional teams, you will help ensure new products meet performance, reliability, and quality requirements before release.
Responsibilities
  • Execute verification and validation testing for new instrument platforms, subsystems, and software features.
  • Perform laboratory experiments to characterize system performance, reliability, robustness, and usability.
  • Set up, operate, and troubleshoot scientific instrumentation, including HPLC/LC systems and light scattering instruments.
  • Collect, analyze, and document experimental data using statistical and graphical analysis methods.
  • Prepare clear and concise test reports summarizing results, observations, deviations, and recommendations.
  • Assist in developing test protocols, validation procedures, and acceptance criteria.
  • Support prototype assembly, integration, and evaluation activities.
  • Investigate and reproduce reported issues to assist engineering teams in root cause analysis and corrective actions.
  • Maintain laboratory equipment, test fixtures, and test records in accordance with quality procedures.
  • Collaborate with engineering, applications, manufacturing, and quality teams to ensure successful product development and transfer.

Qualifications
Required
  • Bachelor's degree in Physics, Chemistry, Biochemistry, Materials Science, Engineering, or another scientific discipline with 1-2 years of experience
  • Strong analytical and problem-solving skills.
  • Ability to accurately document experimental procedures and results.
  • Familiarity with scientific data analysis using Excel or similar tools.
  • Strong written and verbal communication skills.
  • Ability to work effectively in a collaborative team environment.
Preferred
  • Experience working with scientific instruments in a laboratory environment.
  • Familiarity with liquid chromatography (LC/HPLC) systems and workflows.
  • Exposure to light scattering instrumentation or related analytical techniques.
  • Experience collecting, analyzing, and interpreting experimental data.
  • Experience with software tools such as Excel, Origin, MATLAB, Python, JMP, or similar analytical platforms.
  • Understanding of laboratory best practices, calibration, and measurement fundamentals.

Company Description
Waters Corporation (NYSE:WAT) is a global leader in life sciences and diagnostics, dedicated to accelerating the benefits of pioneering science through analytical technologies, informatics, and service. With a focus on regulated, high-volume testing environments, our innovative portfolio harnesses deep scientific expertise across chemistry, physics, and biology. We collaborate with customers around the world to advance the release of effective, high-quality medicines, ensure the safety of food and water, and drive better patient outcomes by detecting diseases earlier, managing routine infections, and combating antibiotic resistance. Through a shared culture of relentless innovation, our passionate team of ~16,000 colleagues turn scientific challenges into breakthroughs that improve lives worldwide.
Diversity and inclusion are fundamental to our core values at Waters Corporation. It benefits our employees, our products, our customers and our community. Waters complies with all applicable federal, state, and local laws. Qualified applicants are considered without regard to sex, race, color, ancestry, national origin, citizenship status, religion, age, marital status (including civil unions), military service, veteran status, pregnancy (including childbirth and related medical conditions), genetic information, sexual orientation, gender identity, legally recognized disability, domestic violence victim status, or any other characteristic protected by law. Waters is proud to be an equal opportunity workplace and is an affirmative action employer. All hiring decisions are based solely on qualifications, merit, and business needs at the time.