Applied Data Scientist - Monetization
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.
We’re looking for Applied Data Scientists to join our Monetization Engineering Team. We are looking for candidates who understand mobile ad technology, auctions and ads marketplace. Working closely alongside engineering, product management, and business product partners, you will be central to creating inventive, data-based approaches to solve difficult business and product problems. Working from the Santa Monica, LA office, you’ll work to generate business and product insights and help Snap to ship the best ads product in the world.
Applied Data Scientists at Snap design and propose implementable, testable and scalable analytical solutions. We sit at the cross section of data science and machine learning. We provide impactful, objective, and actionable data insights that enable informed engineering and product decisions. We drive informed and timely decision-making that improves and optimizes the way our products are created, executed, and adopted. We deploy solutions with measurable outcomes.
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 decisions
Minimum qualifications:
Pursuing a Bachelor’s degree in math, statistics, computer science, economics, or other quantitative field
Fluency in SQL or similar big data querying languages
2+ 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