Manager of Data Science, Snap Inc.

• 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 post-Bachelor’s experience in quantitative analysis & data science or a related field; or a Master’s degree in a technical field + 6+ years of post-grad experience in quantitative analysis & data science or a related field; or a PhD in a relevant technical field + 3+ years of post-grad 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, Content to join Snap Inc
• Lead and mentor a team of high-performing Data Scientists focused on our content community, with the core mission of enhancing viewer experience, improving content ranking algorithms, and increasing content supply efficiency & quality
• 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 context 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