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Data Science Graduate Jobs in Santa Clara, CA (NOW HIRING)

Applied Data Science Summer Internship About Us: Evolver is a rapidly growing enterprise AI company ... Graduate students with a record of excellence * Exceptional advanced undergraduates All candidates ...

Applied Data Science Summer Internship About Us: Evolver is a rapidly growing enterprise AI company ... Graduate students with a record of excellence * Exceptional advanced undergraduates All candidates ...

Applied Data Science Summer Internship About Us: Evolver is a rapidly growing enterprise AI company ... Graduate students with a record of excellence * Exceptional advanced undergraduates All candidates ...

Contribute to teaching and mentoring of graduate students, postdoctoral fellows, residents, and ... Professor: $494,000 - $515,000 PhD Data Scientist: * Assistant Professor: $228,000 - $257,000

Data Scientist

Santa Cruz, CA · Remote

$130K - $170K/yr

Connect biomedical sensor data with medical, health, and fitness outcomes * Research and ... Computer Science, or equivalent * Graduate degree and/or 5+ years experience a plus Additional ...

Data Scientist

Foster City, CA · On-site

$137.40K/yr

... computer science or many others (graduate degree is a plus)Experience with extracting and aggregating data from large data sets using SQL or other toolsCompetence in Excel, PowerPoint and ...

If you're a recent Computer Science graduate, you already have the foundation: data structures, algorithms, and an understanding of programming concepts. But if you're finding the job market ...

junior data scientist/AI engineer

Sunnyvale, CA · On-site

$136.20K - $163.60K/yr

Graduate With a Degree. Get Hired With a Plan. If you just graduated (or you're about to) and the ... engineering, data science, and ML/AI--full-time opportunities aligned to client needs. Our core ...

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Data Science Graduate information

See Santa Clara, CA salary details

$43.7K

$143K

$229K

How much do data science graduate jobs pay per year?

As of May 28, 2026, the average yearly pay for data science graduate in Santa Clara, CA is $143,030.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,800.00 and $158,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Science Graduate, and why are they important?

To thrive as a Data Science Graduate, you need strong analytical skills, a solid understanding of statistics, and proficiency in programming languages like Python or R, typically backed by a relevant degree. Familiarity with data visualization tools (e.g., Tableau), machine learning frameworks (e.g., scikit-learn, TensorFlow), and database management systems (e.g., SQL) is highly valuable. Strong communication, problem-solving, and adaptability help you convey insights and collaborate effectively with diverse stakeholders. These skills enable you to extract meaningful information from data, drive informed decisions, and add value to organizations in a data-driven world.

What types of projects and responsibilities can a Data Science Graduate expect in their first role?

As a Data Science Graduate, you can expect to work on a variety of projects such as data cleaning, exploratory data analysis, and building predictive models under the guidance of senior team members. Typical responsibilities include preparing datasets, validating model outputs, and presenting findings to both technical and non-technical stakeholders. You’ll often collaborate with data engineers, software developers, and business analysts to ensure your solutions align with organizational goals. This early-career role is a great opportunity to learn industry-standard tools, gain mentorship, and build a portfolio of impactful projects.

What are Data Science Graduates?

Data Science Graduates are individuals who have recently completed a degree or certification program in data science or a related field. They possess foundational knowledge in statistics, programming, and data analysis, and are equipped to apply these skills in real-world scenarios. These graduates are typically proficient in tools such as Python, R, SQL, and data visualization platforms, and are prepared for entry-level roles in data analytics, machine learning, or business intelligence. Their education often includes hands-on projects and internships to build practical experience. Data Science Graduates are in high demand across industries that rely on data-driven decision making.

What is the difference between Data Science Graduate vs Data Analyst?

AspectData Science GraduateData Analyst
Required CredentialsDegree in Data Science, Computer Science, or related fieldDegree in Statistics, Mathematics, or related field
Work EnvironmentInternships, entry-level roles in tech or finance companiesBusiness, marketing, or finance departments across industries
Employer & Industry UsageTech firms, startups, research institutionsCorporations, consulting firms, government agencies
Common Search & ComparisonYesYes

Data Science Graduates typically focus on building models, machine learning, and advanced analytics, often requiring programming skills and a strong foundation in data science concepts. Data Analysts primarily interpret data, generate reports, and support decision-making with statistical tools. While both roles analyze data, Data Science Graduates usually work on more complex modeling tasks, whereas Data Analysts focus on data interpretation and visualization.

What are popular job titles related to Data Science Graduate jobs in Santa Clara, CA? For Data Science Graduate jobs in Santa Clara, CA, the most frequently searched job titles are:
What job categories do people searching Data Science Graduate jobs in Santa Clara, CA look for? The top searched job categories for Data Science Graduate jobs in Santa Clara, CA are:
What cities near Santa Clara, CA are hiring for Data Science Graduate jobs? Cities near Santa Clara, CA with the most Data Science Graduate job openings:
Applied Data Science Intern

Applied Data Science Intern

Evolver

Palo Alto, CA

Other

Posted 7 days ago


Job description

Applied Data Science Summer Internship 

About Us:

Evolver is a rapidly growing enterprise AI company building advanced solutions for Fortune 500 organizations across finance, tax, risk, and audit. In just 1.5 years, the company has grown from 0 to nearly 100 employees, bringing together an exceptional team of technologists, researchers, and industry experts. Founders includes former executives from some of the world's top organizations, including the former Global CTO and Global Board Member of Ernst and Young and the former VP of AI from Microsoft, alongside senior leaders from other major global enterprises. The team includes multiple PhDs and a strong concentration of employees with advanced degrees from leading universities. This in-person internship offers a small cohort of students the opportunity to work directly alongside experienced operators and AI experts while gaining hands-on exposure to using the latest innovations in data science applications at a frontier startup environment.

Program Details:

Evolver is launching a small, highly selective summer internship cohort for students and emerging talent to gain hands-on experience applying data science techniques to enterprise datasets while learning to leverage and deploy AI systems for real-world Fortune 500 business use cases.

This is an intensive 10-week, full-time small cohort program designed to provide direct mentorship from experienced professionals in computer science, data science, artificial intelligence, and enterprise software deployment.

  • Duration: 10 weeks (full-time), June through Early August.
  • Competitive Compensation: Tailored to your experience and skill set.
  • Format: Hybrid (4+ days in person) - Based in Palo Alto, CA off University Ave
  • Cohort Size: Small and mentorship-focused
  • Learning Goals: Develop and apply AI-driven data science solutions on real-world datasets and workflows supporting Fortune 500 enterprise use cases.

Role Details:

Interns will contribute to real data innovation projects involving:

  • Data analysis and machine learning pipelines
  • AI agents, retrieval systems, and evaluation frameworks
  • Enterprise AI integration and deployment tooling
  • Product prototyping and applied research
  • Automation systems for large-scale organizational use
  • Real world enterprise use cases of graph theory
  • Gain direct exposure to Fortune 500 clients
  • Access enterprise-scale AI and data science initiatives through hands-on collaboration with internal teams and customer engagements.

Projects are oriented toward practical AI solutions deployed in enterprise and Fortune 500 environments.

Mentorship & Learning

Interns will work closely with experienced staff and technical mentors with expertise in:

  • Computer Science
  • Data Science & Analytics
  • Applied AI & Machine Learning
  • Enterprise Infrastructure
  • Scalable AI Deployment
  • Risk and Compliance Frameworks
  • Tax and Audit

The program is structured as a high-engagement cohort-based apprenticeship experience emphasizing:

  • Daily in person technical collaboration
  • Rapid learning and iteration
  • Exposure to real deployment challenges
  • Cross-disciplinary problem solving
  • Professional development in AI engineering and enterprise systems

Who Should Apply:

We welcome applications from:

  • Graduate students with a record of excellence
  • Exceptional advanced undergraduates

All candidates are required to be recommended by an accredited professor leading a relevant program at a top university. Will be verified during application process.

Strong candidates typically demonstrate:

  • Programming experience
  • Curiosity about AI systems and emerging technologies
  • Initiative, creativity, and strong problem-solving ability
  • Prior technical, research, or project experience

You do not need deep expertise in every area, we value intellectual curiosity, adaptability, and motivation to build.