Data Scientist - E-commerce

Job Description Position Summary, Responsibilities and Expectations:

• 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

Essential Skills And Experience

• 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
• Exposure to modern data stacks or cloud environments is a plus
• 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

Who We Are CORSAIR (NASDAQ: CRSR) is a leading global developer and manufacturer of high-performance gear and technology for gamers, content creators, and PC enthusiasts. From award-winning PC components and peripherals, to premium streaming equipment and smart ambient lighting, CORSAIR delivers a full ecosystem of products that work together to enable everyone, from casual gamers to committed professionals, to perform at their very best.

CORSAIR also includes subsidiary brands Elgato, which provides premium studio equipment and accessories for content creators; SCUF Gaming, which builds custom-designed controllers for competitive gamers; ORIGIN PC, a builder of custom gaming and workstation desktop PCs and laptops; DROP, a community-driven brand known for enthusiast keyboards and curated peripherals; and Fanatec, a leading manufacturer of high-end sim racing hardware.

This position is onsite in Milpitas, CA and is not open to remote work at this time.

This internship includes a base pay rate of $30 per hour and holiday pay.

We have many intern openings in a variety of departments, check them all out to see which suits your interests and professional development the best at corsair.com/careers.