Manager, Data Science, Ads Ranking

Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company’s three core products are Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles.

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.

What you’ll do

• 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

Knowledge, Skills, Abilities:

• 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

Minimum Requirements

• BS/BA degree in statistics, mathematics, economics, computer science, engineering or related field or equivalent years of experience

• 7+ years of post-Bachelor’s quantitative analysis and data science experience; or a Master’s degree in a technical field + 6+ years of post-grad quantitative analysis