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

Tryfacta, Inc.

Student/Graduate Intern

San Jose, CA · On-site

$28.27 - $32.27/hr

The Information Systems Analyst Intern will perform entry-level professional work supporting the ... Data Science * Related technical field Preferred Academic Focus: * Computer Science * Information ...

Salas O'Brien

Entry-level Mechanical Engineer

San Jose, CA · On-site

$75K - $85K/yr

Entry- level Mechanical Engineer At Salas O'Brien we tell our clients that we're engineered for ... Our specialized experience includes design for data centers, healthcare, science and technology ...

Accenture

Data Protection, A/SA-Evergreen

San Jose, CA

$84K - $100K/yr

Degree in Information Technology, Cybersecurity, Computer Science, or related field (or equivalent ... Prior internship, academic project, or entry-level experience in security or compliance is a plus.

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 ...

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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 20, 2026, the average hourly pay for entry level data science in Newark, CA is $21.43, according to ZipRecruiter salary data. Most workers in this role earn between $18.12 and $24.04 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 Newark, CA?

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

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

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

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

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

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

Cities near Newark, 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 Newark, CA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $44,572 per year, or $21.4 per hour.

Student/Graduate Intern

Tryfacta, Inc.

San Jose, CA • On-site

$28.27 - $32.27/hr

Other

Posted 17 days ago

Job description

Temporary Student/Graduate Intern

Tryfacta is a leading, nationally renowned Workforce Management Solution provider for private & public sector firms across the US. We specialize in Healthcare, IT, Business Support, and Professional & Craft/Light Industrial ecosystems. Founded in March 1996, we have a presence in all 50 States. Tryfacta has Ranked number 1 as one of the fastest-growing companies by Inc. Magazine (Inc. 5000)!

Location: San Jose, CA (Onsite)

Assignment Details:

  • Duration: 960 Hours in a fiscal year
  • Work Schedule: Part-time: 28hr/week
  • Start Date: to be discussed
  • Pay Rate: Student Intern: $28.27 & Grad Intern: $32.27

Role Overview:

The Information Systems Analyst Intern will perform entry-level professional work supporting the development, integration, testing, documentation, maintenance, and enhancement of business systems and database applications. The role focuses on asset and maintenance management platforms including IBM Maximo Application Suite and Kayuga IRIS, while supporting integrations with ArcGIS, AVEVA PI System, and Infor CloudSuite Financials.

Key Responsibilities:

  • Support development, installation, coding, integration, testing, documentation, and maintenance of business systems and database applications.
  • Assist with IBM Maximo Application Suite and Kayuga Systems Infrastructure Renewal Intelligence System (IRIS).
  • Analyze user requirements and business needs.
  • Develop technical solutions to improve integration between asset and maintenance management systems.
  • Support integrations with:
    • Esri ArcGIS
    • AVEVA PI System
    • Infor CloudSuite Financials
  • Contribute to data quality, system functionality, and ongoing application support.

Required Experience:

  • Knowledge of data analysis, statistical modeling, and data visualization concepts and applications.
  • Experience with software installation, troubleshooting, and maintenance practices.
  • Understanding of quality assurance, quality control, and data integrity principles within business information systems

Preferred:

  • Experience working with asset management or maintenance management systems.
  • Exposure to business systems integration and enterprise applications.
  • Familiarity with GIS, industrial data platforms, or enterprise financial systems (ArcGIS, PI System, CloudSuite Financials).
  • Experience creating reports, dashboards, and analytic solutions.

Required Skills Technical Skills:

  • Microsoft Excel
  • Python
  • SQL
  • Power BI and/or Tableau
  • Data Analysis
  • Statistical Modeling
  • Data Visualization
  • Software Troubleshooting & Maintenance
  • Business Systems & Database Applications

Soft Skills:

  • Analytical and problem-solving skills.
  • Ability to evaluate user requirements and translate them into technical solutions.
  • Attention to detail and data accuracy.
  • Documentation and communication skills.
  • Ability to learn new technologies and systems quickly.
  • Collaboration and teamwork within technical and business environments.

Education / Certifications Required Education Bachelor's degree (or equivalent coursework) from an accredited college or university in:

  • Computer Science
  • Information Systems
  • Data Science
  • Related technical field

Preferred Academic Focus:

  • Computer Science
  • Information Systems
  • Data Science
  • Analytics-related disciplines.

Tryfacta is an Equal Opportunity-Affirmative Action Employer. We do not discriminate based on Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation / Age #GEN123

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