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Trainee Data Science Student Jobs in California (NOW HIRING)

DEUNA

Data Science intern

San Francisco, CA · On-site

We are looking for curious, analytical, and motivated students who are eager to learn about Data Science in a fast-paced technology environment. During the internship, you will support the Data team ...

DEUNA

Data Science intern

San Francisco, CA

We are looking for curious, analytical, and motivated students who are eager to learn about Data Science in a fast-paced technology environment. During the internship, you will support the Data team ...

Evolver

Applied Data Science Intern

Palo Alto, CA · On-site

Applied Data Science Summer Internship About Us: Evolver is a rapidly growing enterprise AI company ... This in-person internship offers a small cohort of students the opportunity to work directly ...

Evolver

Applied Data Science Intern

Palo Alto, CA

Applied Data Science Summer Internship About Us: Evolver is a rapidly growing enterprise AI company ... This in-person internship offers a small cohort of students the opportunity to work directly ...

Faire

Data Science Intern

San Francisco, CA

$75/hr

Our Data Science team builds and maintains the algorithmic systems - spanning search ... PhD students in Computer Science, Operations Research, Statistics, Econometrics, or a related ...

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Trainee Data Science Student information

What is the difference between Trainee Data Science Student vs Data Analyst?

AspectTrainee Data Science StudentData Analyst
Required CredentialsEnrolled in or recently completed a data science or related courseBachelor's degree in statistics, mathematics, or related field
Work EnvironmentTraining programs, internships, or entry-level projectsFull-time role in data analysis teams across industries
Employer & Industry UsageEducational institutions, training programs, tech companiesBusinesses across finance, marketing, healthcare, and more

The main difference is that a Trainee Data Science Student is typically in training or learning phase, focusing on gaining skills and experience, while a Data Analyst is usually a full-time professional responsible for analyzing data and generating reports. The trainee role emphasizes learning, whereas the analyst role involves applying skills to real-world business problems.

What are the most commonly searched types of Data Science Student jobs in California? The most popular types of Data Science Student jobs in California are:
What cities in California are hiring for Trainee Data Science Student jobs? Cities in California with the most Trainee Data Science Student job openings:
Trainee Data Science Student jobs near you

Data Science intern

DEUNA

San Francisco, CA • On-site

Temporary

Re-posted yesterday

Job description

About DEUNA
DEUNA is a rapidly growing startup revolutionizing global commerce with ATHIA, our AI-powered orchestration and payments platform that helps large enterprises boost approval rates, reduce costs, and unlock new revenue. Built by the team behind DEUNA-the fastest-growing Commerce OS in Latin America-ATHIA combines payment intelligence, checkout optimization, and data orchestration in one powerful solution.
With deep integrations across 300+ PSPs and alternative payment methods, and over 20% of Mexico's digital economy running through our platform, we simplify global payments through a single integration and centralized reconciliation.
We are a rapidly growing startup expanding into the U.S. to meet the urgent needs of large retailers, marketplaces, airlines, and QSRs. Join us to shape the future of payments!
Visit https://www.deuna.com/ to learn more about us!
We are looking for curious, analytical, and motivated students who are eager to learn about Data Science in a fast-paced technology environment. During the internship, you will support the Data team by analyzing data, building models, developing insights, and contributing to projects that have a direct impact on our products and business.
This is an educational, unpaid internship designed to provide practical experience, mentorship, and exposure to real-world data science projects.
Key Responsibilities
  • Assist in collecting, cleaning, and preparing datasets for analysis.
  • Perform exploratory data analysis to identify trends and patterns.
  • Support the development and evaluation of machine learning models.
  • Build dashboards and visualizations to communicate business insights.
  • Collaborate with Data Scientists, Data Engineers, and Product teams on ongoing initiatives.
  • Document analyses, methodologies, and project findings.
  • Participate in team meetings, knowledge-sharing sessions, and technical discussions.
  • Learn and apply best practices in data science, experimentation, and analytics.
Qualifications
Required
  • Currently pursuing a Bachelor's or Master's degree in:
    • Computer Science
    • Data Science
    • Statistics
    • Mathematics
    • Engineering
    • Economics
    • Physics
    • Or a related quantitative field.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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