Manager of Data Science, Snap Inc.

• 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
• Industrial knowledge in ad ranking or recommendation systems
• 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
• We’re looking for a Manager, Data Science, Ads Ranking to join Snap Inc
• Lead a team of data scientists focused on optimizing ad ranking, auction dynamics, and marketplace efficiency to maximize advertiser value and Snapchatter experience
• 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 to develop data-driven strategies that shape product direction
• Conduct in-depth analysis of all data sources, asking the right questions, testing hypotheses, identifying patterns and providing the necessary business context to translate what it all means
• Deliver on data science and analytics roadmap including continuous improvement, accurate and timely reporting and measurement
• Define and drive the data science roadmap for ad ranking, including model development, experimentation, actionable insights and measurement framework
• Build scalable methodologies for experimentation and causal inference to assess the impact of ranking changes and new product features
• Translate complex technical findings into actionable insights and strategic recommendations for leadership and cross-functional stakeholders
• Provide strategic direction, project clarity, methodological consultation and deliver results both individually and through managing a high performing team