Data Scientist

Description:

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.

Responsibilities:

• 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

Qualifications:

• 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