Lead Data Scientist, Zynga Games
Remote Spain
Applications have closed
Chartboost
Grow your mobile business with the leading in-app monetization and programmatic advertising platform. Mobile success starts here.Who we are:
Chartboost is the leading in-app monetization and programmatic advertising platform. We reach a global audience of over 700 million monthly active users and process over 2.7 trillion monthly advertising auctions. The Chartboost SDK is one the most widely integrated mobile ad SDKs and through the Chartboost Exchange, Ad Network, DSP and other services, we empower mobile app developers to build businesses, while connecting advertisers to highly engaged audiences.
We’re looking for an experienced Data Science Lead to join our real-time bidder team, one of the most exciting and important products within Chartboost. This role is focused on leveraging our first-party data from Zynga and Take Two to improve the performance of our platform for mobile advertisers, and will partner closely with our data and platform engineering teams to prototype and deploy new signals in our bidder.
Impact you will make:
- Explore and develop expertise with cutting-edge infrastructure for model development, deployment, and observability
- Build a team of motivated, resourceful data scientists working on a business-critical and highly visible product
- Produce new methods and workflows for leveraging first-party data sets
- Proactively identify opportunities for optimization, and own the scoping and implementation of solutions
- Collaborate closely with game studios and advertisers on the delivery of results
Who you are:
- BS degree in Engineering, Statistics, Math, Economics, Machine Learning or Computer Science
- 5+ years of practical experience in a Data Science or Machine Learning role, and sound understanding of Data Science and Machine Learning principles
- 1+ years of Data Science or Software Engineering team leadership experience
- Experience using SQL and distributed frameworks such as Spark for exploratory data analysis and data transformation
- Exposure to different machine learning and modeling techniques, including deep learning and traditional modeling techniques
- Experience working with large-scale data sets across a variety of data sources
- Track record of clear communication, successful project management, and collaboration with product or business teams
The following experience would be a plus:
- Hands-on with deep learning in production pipelines
- Ad Tech or Mobile game industry
Perks:
- Competitive salary with bonuses
- Flexible schedule based on core hours and the possibility of working remotely
- Private health insurance
- Life insurance
- Optical complement for glasses or contact lenses
- Company sponsored lunch
- English/Spanish lessons and/or other investments in your professional development
- Gym membership
- Transportation reimbursement
- Healthy snacks, and coffee in our cool office in the center of Barcelona
- 23 days of paid time off per year
- 15 paid holidays per year
- Team building events
More about us:
We are proud of the product we've built and appreciate the impact it has on other people's businesses and lives. We want to be surrounded by people who are always finding opportunities to try something new and grow. We love data and anything that helps drive intelligent decisions and always design with the user in mind. Sounds like a fit? Join us, and be part of the team that will change the future of mobile gaming!
We are an equal opportunity employer — we celebrate diversity and are committed to creating an inclusive environment for all employees and make our hiring decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Computer Science Data analysis Deep Learning Economics EDA Engineering Machine Learning Mathematics ML models Pipelines Spark SQL Statistics
Perks/benefits: Career development Competitive pay Fitness / gym Flex hours Flex vacation Health care Insurance Salary bonus Team events
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