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Snap Inc. is seeking to leverage its massive data sets into actionable insights that deliver business value. The Data Science & Insights team aims to improve decision-making quality and speed across the organization to enable a deeper understanding of customers and products. This role specifically focuses on optimizing ad ranking, auction dynamics, and marketplace efficiency to maximize advertiser value and Snapchatter experience.

Requirements

• 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
• 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

Responsibilities

• Lead a team of data scientists focused on optimizing ad ranking, auction dynamics, and marketplace efficiency to maximize advertiser value and Snapchatter experience
• 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

Other

• 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
• 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
• 3+ years experience in a leadership role within a data organization