Corsair
Job Description
Join to apply for the
Data Scientist - E-commerce
role at
Corsair . This position is onsite in Milpitas, CA and is not open to remote work at this time. The internship offers a base pay rate of $30 per hour with holiday pay.
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.
Actively enrolled as a full‑time student in an accredited institution with at least one year of completed education.
Able to work 40 hours a week onsite throughout the 12‑week summer internship, either between (May 27 – August 13, 2026) or (June 16 – September 13, 2026).
Legally authorized to work in the United States.
About Corsair 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.
CORSHAIR also includes subsidiary brands Elgato, SCUF Gaming, ORIGIN PC, DROP, and Fanatec, each providing specialized equipment for their respective markets.
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Data Scientist - E-commerce
role at
Corsair . This position is onsite in Milpitas, CA and is not open to remote work at this time. The internship offers a base pay rate of $30 per hour with holiday pay.
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.
Actively enrolled as a full‑time student in an accredited institution with at least one year of completed education.
Able to work 40 hours a week onsite throughout the 12‑week summer internship, either between (May 27 – August 13, 2026) or (June 16 – September 13, 2026).
Legally authorized to work in the United States.
About Corsair 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.
CORSHAIR also includes subsidiary brands Elgato, SCUF Gaming, ORIGIN PC, DROP, and Fanatec, each providing specialized equipment for their respective markets.
#J-18808-Ljbffr