Building technologies and ideas that move us as the leaders in Augmented Reality
Anti-Cheat Data Scientist
Are you motivated by keeping products used by hundreds of millions of people safe and secure from abuse? Can you tame huge amounts of highly technical security data? Do you enjoy helping to connect people all over the world on a team securing the next generation of planet scale AR games through objective and deeply investigated analysis? We're looking for a game data scientist to help improve Niantic's anti-cheat data analysis and fraud prevention capabilities as part of our broader game security team. You'll craft and communicate detailed analyses on specific security incidents and vectors as well as build scalable analysis workflows and dashboards for identifying suspicious behavior in our games. You'll accomplish this by working closely with our server and client game security data engineering teams to enable our product teams to deliver end-to-end solutions to catch bad actors and keep Niantic's products fun for everyone.
- Analyze and identify abuse and security anomalies by crafting and maintaining analysis workflows that can process large amounts of production security data.
- Write queries, dataflows, and transformations which extract insights and bring order to complex data sets.
- Setup dashboards and monitoring alerts to quantify and monitor abusive activity and subsequently write detailed analysis reports about specific attacks and activities.
- Translate your findings into concrete steps for the client and server game security teams to integrate into our products.
- Work with groups across the company to report insights and improve our understanding of cheater behavior.
- BS, MS or PhD in a technical or quantitative analysis field including statistics, economics, natural sciences or engineering, or equivalent experience.
- Advanced knowledge of SQL - you should be able to write complex queries in your sleep and you're excited by working hands-on with data.
- At least 3 years of experience performing modeling and statistics with a working statistical analysis language such as Python or R is required.
- Experience with BI, dashboarding, and visualization tools (e.g. Tableau, Looker, Periscope, Grafana).
- Knowledge of operating with data at cloud scales with distributed storage systems such as Bigquery or Presto is helpful.
Join the Niantic team!
Niantic is the world’s leading AR technology company, sparking creative and engaging journeys in the real world. Our products inspire outdoor exploration, exercise, and meaningful social interaction.
Originally formed at Google in 2011, we became an independent company in 2015 with a strong group of investors including Nintendo, The Pokémon Company, and Alsop Louie Partners. Our current titles include pioneering global-control game Ingress, record-breaking AR game Pokémon GO, and recently released third title, Harry Potter: Wizards Unite.
Niantic is an Equal Opportunity employer. We believe that cultivating a workplace where our people are supported and included is essential to creating great products our community will love. Our mission emphasizes seeking and hiring diverse voices, including those who are traditionally underrepresented in the technology industry, and we consider this to be one of the most important values we hold close.
We're a hard-working, fun, and exciting group who value intellectual curiosity and a passion for problem-solving! We have growing offices located in San Francisco, Sunnyvale, Bellevue, Los Angeles, London, Tokyo, Hamburg, and Zurich.
Niantic at a glance
Niantic focuses on Location Based Services, Development Platforms, Mobile Games, and Augmented Reality. Their company has offices in Los Angeles, San Francisco, Seattle, London, and Sunnyvale. They have a large team that's between 501-1000 employees. To date, Niantic has raised $470M of funding; their latest round was closed on January 2019.