Requirements

• 6+ years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems.
• Masters degree in a quantitative field such as mathematics, statistics, computer science or engineering.
• Excellent communication skills, able to lead initiatives and communicate findings to the leadership and cross-functional teams, especially non-technical audiences. Explains work and thought processes clearly and concisely.
• Hands-on experiences with building marketing measurement solutions to quantify the business impact of marketing tactics and investments.
• Strong background in statistics and quantitative analysis, with experience in applying advanced statistical techniques to real-world problems.
• Expertise in at least one scripting language (ideally Python/R). Proficiency in SQL/Hive. Ability to write efficient SQL queries.
• Strong business and product sense. Strong skills in shaping vague questions into well-defined analyses and success metrics that drive business decisions.
• Experience leading key technical projects.
• Strong Experimentation background.
• Statistical rigor. Experience with causal inference projects.