Manager of Data Science, Snap

• Experience leading ads data science teams with an in-depth understanding of auction dynamics, pricing, ranking, pacing and ad load
• Understanding of statistical analysis, experience with packages, such as R, MATLAB, Stata, etc
• Working knowledge of predictive modeling, machine learning, and experimentation/ causal inference methods
• Expertise in the data workflow and pipeline and lead a team responsible for data capture, measurement, and optimization capability management
• Expertise in SQL and familiarity with Python
• Excellent communication skills, with high attention to detail
• Ability to initiate and drive projects to completion with minimal guidance
• Ability to balance practical business needs and scientific rigor
• BS/BA degree in statistics, mathematics, economics, computer science, engineering or related field or equivalent years of experience
• 7+ years of experience in quantitative analysis & data science or a related field
• 3+ years experience in a leadership role within a data organization

Desirable

• The Data Science & Insights team seeks to leverage our massive data sets into actionable insights that deliver business value. As truth seekers and truth tellers, we relay what the data says without bias, even when inconvenient or difficult
• We aim to improve decision-making quality and speed across the organization to enable a deeper understanding of our customers and products. We focus on efficient and effective analytic execution, positioning ourselves as the go-to experts with deep knowledge and expertise, constantly striving for better, faster insights from data
• Lead a team of data scientists focused on improving and evolving our ads marketplace through in-depth analysis of auction dynamics and marketplace efficiency that directly inform our product roadmap
• Help build and manage a team of high performing data scientists and help them execute along the most important priorities and deliver world-class products
• Establishes a positive, mutually supporting, inclusive and fun team environment where every employee can do their best
• Work cross-functionally and partner with product managers, engineers, and researchers to solve problems, and conduct analytics studies to identify new product opportunities and shape product strategy
• Conduct in-depth analysis of all data sources, asking the right questions, testing hypotheses, identifying patterns and providing the necessary business conatext to translate what it all means
• Lead the development & implementation of regular insights share-outs that drive the consumer voice throughout the organization
• Deliver on data science and analytics roadmap including continuous improvement, accurate and timely reporting and measurement
• Provide strategic direction, project clarity, methodological consultation and deliver results both individually and through managing a high performing team