Engineering Data Scientist

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 a Data Scientist to join the Client Core Services team! Client Core Services is a collection of three services and frameworks that all apps of Snap's scale needs: Configuration, Localization, and Error Reporting. These frameworks power over 6 billion decisions per minute to enable Snap engineers to seamlessly scale the app behavior based on over 180 properties like bandwidth available, how often the user engages with a feature, and even ML based properties that predict behavior. The configuration framework ties in with localization and error reporting to personalize the app for our global user base and provide crucial feedback mechanisms to scale our user experience. Working from any of our west coast locations (Los Angeles, Seattle, Mountain View, and San Francisco), you’ll create inventive, data-based approaches to solving difficult business problems.

• What you’ll do:

  • Pioneer a data analysis framework to power optimizations across high cardinality dimensions. 

  • Partner with the Engineering, and Product Managers, and apply your expertise in quantitative analysis, data mining, and machine learning to create, implement, and scale insights in production

  • Build models to understand how Snapchatters interact with Snapchat, and predict the effect of business decisions to optimize the app and increase user growth

  • Create and test hypotheses

  • Report insights via visualization and dashboards

  • Help the Business and Engineering teams make decisions based on data

• Minimum qualifications:

  • 3+ years of experience in product-oriented quantitative analysis and data science, preferably at a social media and/or mobile technology company

  • Experience with programming languages such as Python

  • Fluency in SQL or other big data querying languages

  • Bachelor’s or Master’s degree in math, statistics, computer science, or other quantitative field

• Preferred qualifications:

  • Advanced degree in math, statistics, computer science, economics, or other quantitative field

  • Someone with a thorough understanding of statistics and machine learning

  • Experience with data ETL pipelines

  • Experience with Google BigQuery or similar data warehouses

  • Experience with analytical packages such as SciPy or R

  • Ability to initiate and drive projects to completion with minimal guidance

  • Ability to communicate analyses in a clear and effective manner to senior-level audiences