Data Scientist

Job LocationUS Remote
Job TagData Analytics


The Data Science team is chartered to relentlessly improve all 2U revenue operations by surfacing insights, and identifying and enabling product and marketing innovations leveraging analytics, experimentation and modeling. 

As a Data Scientist, you’ll partner with a diverse range of cross-functional business partners to uncover new opportunities, design, execute, and analyze experiments, and deliver solutions that have a significant business impact and implications for our learners. You will help drive innovations through effective identification and application of analytics, causal inference, experimentation, and machine learning. This is a high-impact role in which you will have a direct influence on how product and marketing decisions are made. You will play a key role in spurring innovations to drive growth, engagement, and retention at a critical moment in 2U’s history.


  • Effectively identify and apply analytics, causal inference, experimentation, and machine learning techniques for given business problems
  • Proactively perform data exploration on engagement behaviors to discover future opportunities
  • Apply modeling and machine learning techniques to business problems, including engagement and retention forecasts and valuation models
  • Collaborate with cross-functional stakeholders from product, marketing, engineering, admissions, operations, etc., to develop and deploy insights and models at scale
  • Relentlessly improve data science team operations by providing feedback and mentorship to team members
  • Present your insights to all levels of the company


  • 3+ years of relevant working experience in a quantitative role performing statistical modeling and analysis. (We are open to hiring mid-level to senior candidates for this role.)
  • Strong statistical knowledge and intuition – ideally utilized in experimentation, predictive modeling, forecasting or other analytics settings
  • Experience in building real-world machine learning models with demonstrated business impact
  • Strong SQL and quantitative programming skills in Python or R
  • Comfort working independently to take ambiguous problems and solve them down in a structured, hypothesis-driven, data-supported way
  • Excitement about influencing product strategies in a fast-paced, cross-functional environment
  • Ability to communicate technical and statistical concepts clearly and concisely among audiences at many different levels

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