Data Scientist - E-commerce

CORSAIR•Milpitas, CA

22h•Onsite

About The Position

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

Requirements

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 13th, 2026 OR June 16th – September 13th, 2026)
Legally authorized to work in the United States

Nice To Haves

Exposure to modern data stacks or cloud environments is a plus

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