Senior Data Scientist, IAP ROAS Pod
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 exceptional Senior Data Scientist to join our IAP ROAS team, one of the most exciting and important products within Chartboost. The system powering this product must deal with 100,000’s of requests per second and presents unique data science challenges. The bidder uses a variety of batch and real-time signals to power decision making in real-time. Chartboost empowers developers to earn high CPMs while connecting marketers to highly engaged audiences through immersive ad experiences. The ROAS team will be in charge of designing and implementing solutions for maximizing the return on advertising spend (ROAS) for our customers.
Impact you will make:
- Apply, develop, optimize, and benchmark ML approaches to push our AI-driven product forward
- Conduct large scale A/B testing and offline/online experiments to evaluate performance of machine learning models
- Analyze millions of structured and unstructured data points and identify meaningful signals to improve model performance
- Develop features in Python, SQL and Scala to improve model performance
Who you are:
- BS degree in Statistics, Math, Machine Learning or Computer Science
- 3-5 years of practical experience in data science or machine learning roles
- 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 in improving performance of queries and data jobs for model training
- Experienced with Python and Scala
- Hands-on experience in large scale production grade machine learning systems.
- A willingness to branch out to learn new domains/ approaches and make progress independently.
The following experience would be a plus:
- Ad tech and/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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: A/B testing Computer Science Data analysis Deep Learning EDA Machine Learning Mathematics ML models Model training Python Scala Spark SQL Statistics Testing Unstructured data
Perks/benefits: Career development Competitive pay Fitness / gym Flex hours Flex vacation Health care Insurance Salary bonus Team events
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