• You have the curiosity and self-drive to continuously learn new techniques and tools to extract value from data
• You have a degree in Math, Statistics, Computer Science or other relevant field
• A strong communicator
• You understand that performing decisions at scale raises a plethora of questions
• You have the ability to dig into the details and navigate to the 10,000 foot level with ease while explaining technical concepts to non-technical audiences and discuss appropriate tradeoffs
• Not afraid to occasionally get your hands dirty and dig into the technical details at times to understand the best paths forward
• Always looking to expand your skill set
• You stay knowledgeable about the latest progress in machine learning and statistics
• You understand when to apply the appropriate methodology, tool, framework or more to maximize impact in a pragmatic fashion
• Grow/coach people across multiple focus areas with skills ranging from product analytics, experimentation, and modeling
• 5+ years of industry experience in data science
• 1+ years of experience leading data science and analytics teams
• 2+ years of experience in statistical modeling and machine learning
• 3+ years of experience using big data query/processing languages such as SQL, Hive or Spark to transform/manipulate very large datasets
• 3+ years of experience in one or more scripting languages such as Python or R
• BA/BS in Computer Science, Applied Math, Physics, Engineering, Statistics, Economics or other technical field
• 2+ years of experience in a fast-paced environment or fast growing company, such as the tech sector
• Ability to communicate analytics results and data storytelling to influence product teams and leaders
• Creative thinker able to apply first-principles reasoning to solve complex problems
• Experience doing research, building cutting edge technology, or working on complex technical projects