Data Science Intern (Data Analytics & AI)

Analyze large-scale datasets to identify business opportunities, detect patterns, and optimize product performance across the platform. ● Develop data dashboards and visualization tools to track key performance metrics and provide actionable product insights. ● Design and build scalable data pipelines to support analytics, operational decision-making, and platform security initiatives. ● Collaborate with cross-functional stakeholders (product, engineering, operations, and security teams) to translate analytical findings into business strategies and product improvements. ● Leverage AI-powered tools and technologies (e.g., LLMs, AI copilots, data assistants) to enhance analysis efficiency, automate workflows, and improve decision accuracy while maintaining robust traditional data engineering and analytics practices. ● Explore and integrate AI-driven methodologies to optimize analytical processes, including automated data exploration, report generation, and intelligent insight discovery.

Currently pursuing a Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. ● Strong experience in data analytics and data engineering, including building data pipelines, statistical analysis, and data visualization. ● Proficiency in SQL and Python, with experience working with large-scale data platforms (e.g., Hive, Spark, or similar big data environments). ● Experience building data dashboards and reporting tools (e.g., Tableau, Power BI, Superset, or similar platforms). ● Familiarity with AI-assisted data analysis tools, including prompt engineering, context engineering, and AI workflow integration. ● Experience with RAG (Retrieval-Augmented Generation), AI agents, MCP frameworks, or similar AI infrastructure is a strong plus. ● Strong problem-solving skills with the ability to break down complex problems into structured analytical approaches. ● Excellent learning ability, curiosity for new technologies, and a strong sense of ownership and self-driven execution.