Work with the Data team and internal stakeholders (Product, Customer Success, Engineering, Sales, Marketing, and Finance) to use data to solve problems
Apply your expertise in data science methodologies such as causal inference modeling and recommender systems to real data to deliver insights and/or deploy algorithms to the Databricks platform
Manage your own project end-to-end from data exploration to presenting insights to stakeholders and/or deployment of an algorithm in a product environment
Requirements & Skills:
You will graduate in fall 2025 or spring 2026 with a Master’s or PhD degree in a quantitative field (e.g., Statistics, Math, Computer Science, Physics, Economics, Operational Research or Engineering)
Proven ability to work with data in SQL and Python
Experience with multiple statistical data analysis and machine learning methods such as generalized linear regression, regression, and classification trees, unsupervised learning methods, causal inference, stochastic processes, time series forecasting
You are excited to solve ambiguous problems with a collaborative team
