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Corsair · 1 day ago

Data Scientist - E-commerce

Milpitas, CA

Full-time

Onsite

New Grad

$30/hr - $30/hr

Corsair is a leading global developer and manufacturer of high-performance gear and technology for gamers and content creators. They are seeking a Data Scientist Intern to perform analyses on customer behavior and e-commerce performance, support AI-driven use cases, and collaborate with various teams to optimize data-driven strategies.

ComputerHardwareManufacturing

No H1B

Responsibilities

Perform customer, product, and behavioral segmentation analysis using transactional, browsing, and content data

Analyze e-commerce performance metrics and experiment results to identify trends, opportunities, and optimization levers

Support AI-driven use cases such as personalization, merchandising intelligence, and content optimization

Design and analyze A/B tests to evaluate changes in content, merchandising, or customer experience

Work with e-commerce and content platforms such as Contentful, Jasper, and Omnify to understand data structures, workflows, and optimization opportunities

Support MCP-aware workflows where analytics, models, or tools exchange contextual data across systems

Assist in building and maintaining data analysis pipelines and exploratory models using Python

Collaborate with cross-functional teams across E-Commerce, Data Science, Marketing, and Engineering

Document analyses, experiments, assumptions, and insights clearly for internal stakeholders

Qualification

PythonStatisticsA/B TestingPandasNumPyMachine LearningE-commerce ExperienceAnalytical SkillsAI FrameworksContent Management ToolsCommunication SkillsProblem-Solving Skills

Required

Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Statistics, Economics, Business Analytics, or a related field

Strong proficiency in Python for data analysis

Solid understanding of statistics, experimentation, and basic machine learning concepts

Experience working with structured datasets using tools such as Pandas and NumPy

Strong analytical and problem-solving skills

Ability to communicate findings clearly to both technical and non-technical audiences

Prior exposure to e-commerce, digital retail, or online marketplaces

Experience with customer segmentation, cohort analysis, and A/B testing methodologies

Familiarity with AI or ML frameworks such as scikit-learn, PyTorch, or TensorFlow

Exposure to content management or AI content tools (e.g., Contentful, Jasper, Omnify)

Exposure to Model Context Protocols (MCP) or context-aware, agent-based workflows

Understanding of experimentation platforms or conversion optimization frameworks

You are actively enrolled as a full-time student in an accredited institution and have completed at least one year of education

Able to work 40 hours a week onsite throughout the course of the 12-week summer internship either between (May 27 – August 13 th , 2026 OR June 16 th – September 13 th , 2026)

Legally authorized to work in the United States