Chartboost

San Francisco
51-200 employees
Build your mobile business with us! Chartboost is one of the leading in-app monetization and programmatic advertising platforms.

Senior Data Scientist, Ad ROAS Pod

Senior Data Scientist, Ad ROAS Pod

This job is no longer open

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.


Now we’re looking for an exceptional Senior Data Scientist as part of a team focused on the development of our product for advertisers who want to optimize their User Acquisition efforts toward ad revenue. Ad revenue-generating games are a core part of our advertiser client base, and we are dedicating a group of data scientists to refine the predictive models and feature pipelines to grow this offering.

Impact you will make: 

  • Develop and refine predictive models that drive a business-critical and highly visible product
  • Propose and engineer new model features from our continuously growing and diversifying stores of data
  • Design and evaluate A/B tests of new features and model structures
  • Explore and develop expertise with cutting-edge infrastructure (built and bought) for model development, deployment, and observability
  • Proactively identify opportunities for cost optimization in model training and serving
  • Collaborate closely with Product and Engineering teams to co-own the delivery of results for clients

Who you are:

  • BS/Masters/PhD degree in Engineering, Statistics, Math, Economics, Machine Learning or Computer Science
  • 5 to 7 years of practical experience in a Data Science or Machine Learning role, and sound understanding of Data Science and Machine Learning principles
  • Track record of improving accuracy and efficiency of large-scale ML models
  • Experience with continuously-deployed and frequently-retrained production ML models using a distributed training framework such as Tensorflow or Pytorch
  • Experience with ETL pipelines for large and/or fast data using a framework such as Airflow
  • Intermediate Python proficiency for scripting and model prototyping; experience with Spark or large data frameworks; proficient with SQL

The following experience would be a plus:

  • GCP Data Scientist certification
  • Ad Tech or Mobile Game Industry

Perks:

  • Competitive salary with bonuses based on performance
  • Restricted Stock Units (RSUs) - you will have the potential of RSUs depending on the level/role
  • Company sponsored daily lunch, healthy snacks, and coffee in our cool office in the centre of Barcelona - near subway and train stations
  • Flexible schedule based on core hours and the possibility of working from home dependent on team
  • English/Spanish lessons and/or other investments in your professional development
  • Private health insurance
  • Gym membership 
  • Transportation reimbursement
  • 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.

This job is no longer open
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