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.

Snap Engineering teams build fun and technically sophisticated products that reach hundreds of millions of Snapchatters around the world, every day. We’re deeply committed to the well-being of everyone in our global community, which is why our values are at the root of everything we do. We move fast, with precision, and always execute with privacy at the forefront.

We’re looking for Applied Data Scientists to join our Monetization Engineering Team.

What you’ll do:

Collaborate with product managers and engineers to apply your expertise in quantitative analysis to create and scale insights
Understand patterns in data to identify key product trends and new product opportunities
Create and test hypotheses
Design and implement core metrics to monitor the performance of our products
Apply predictive inference methodology to drive engineering growth
Apply machine learning techniques in a prescriptive manner to drive intelligence in our ad system
Communicate your findings to cross-functional stakeholders and help make data-informed product decision

Minimum qualifications:

Pursuing a Bachelor’s degree in math, statistics, computer science, economics, or other quantitative field
Fluent in SQL or similar big data querying languages
3+ years in mobile advertising products, mobile advertising business or similar technical experience

Preferred qualifications:

Advanced degree in math, statistics, computer science, economics, or other quantitative field
Experience with analytic tools, such as R or Python
Strong statistical knowledge
Experience with causal inference techniques, experimental design, and/or A/B testing
A team player who can collaborate with engineers, product managers, and other cross-functional teams
An understanding of Snapchat with great product sense and product understanding
Excellent interpersonal skills, including verbal and written communication
High attention to detail
Ability to initiate and drive projects to completion with minimal guidance
Ability to communicate the results of analyses in a clear and effective manner to a senior audience

Engineering Data Scientist