Responsibilities

• Develop scalable analytical solutions that provide data-driven and optimization insights
• Work with large, complex data sets and extract knowledge or insights to solve difficult, non-routine analysis problems, applying advanced analytical methods as needed
• Conduct end-to-end analysis that includes industry research, data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations

Requirements

• Currently pursuing a graduate degree in a quantitative discipline (e.g., statistics, data science, computer science, behavioral science, applied mathematics, operations research) or another discipline involving experimental design and quantitative analysis of data
• Available for an internship in Summer 2027
• Completing your degree program between Fall 2027 and Summer 2028
• Experience using technology to work with datasets such as Scripting, Python, statistical software (SPSS, SAS, R, or similar)
• Experience with statistical analysis such as linear models, multivariate analysis, clustering, time series, mixed model, and Bayesian methods.
• Data Visualization Tools (PowerBI, Tableau,etc)
• Data warehousing and ETFL
• Fluent in English; strong written and verbal communication skills

Preferred

• Currently pursuing a PhD in a quantitative discipline (e.g., statistics, data science, computer science, behavioral science, applied mathematics, operations research) or another discipline involving experimental design and quantitative analysis of data.
• Advanced knowledge and experience working with large data sets and applying data mining / predictive modeling techniques to extract meaningful insights
• Strongtrack recordof developing intellectual capital such as published works.
• Basic knowledge of marketing or related field
• Passion for advancements in Data Science and Predictive Analytics
• A strategic, consultative, data-driven mindset