Snap Inc. is a camera company. We believe that reinventing the camera represents our greatest opportunity to improve the way people live and communicate. Our products empower people to express themselves, live in the moment, learn about the world, and have fun together.
Snapchat is a camera and messaging app that connects people to their friends and the world. Every day around the globe, millions of people use Snapchat to communicate with friends, build relationships, play, and learn. No matter where you are or how you express yourself, it’s always the fastest way to share a moment!
We are looking for a Data Scientist Manager to join our Spotlight team!
What you’ll do:
Deliver analytics and insights to advance our understanding of customer engagement and content performance across our new Spotlight products
Partner with the business and product leads to understand creators, customers, content and performance.
Deliver clear data and dashboards on what is happening in the product, metric regressions and understanding of ML performance
Deliver insightful analysis and recommendations that can be acted upon by the organization at all levels
Clearly articulate the approach and the findings of interpretable analytical models and drive the continuous refinement of what should be tracking and reporting
Lead a team of analysts and data specialists
Build out in-depth knowledge of the business success drivers (including determining the KPIs that will help meet our goals) and deliver value added solutions that have a measurable impact on the business
Drive pragmatic approaches to solving key complex business problems through data creation, analysis, predictive modeling
Work cross-functionally across multiple teams on different projects, ensuring timeliness and successful completion
Knowledge, Skills & Abilities:
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 verbal and written 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
Bachelor’s degree in a quantitative field such as math, statistics, and computer science, or equivalent years of experience
5+ years of experience in data science doing quantitative analysis, and applied statistics or experimentation (i.e. A/B testing) at a technology company
3+ years experience in a leadership role within a data organization
Advanced degree in a quantitative field (Economics, Computer Science, Physics)
Experience forming partnerships with cross-functional leaders in engineering, product, design, research, etc.
Proven track record in transforming data into meaningful insights and opportunities to drive growth and performance.