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Data Scientist/Machine Learning Engineer

Who we are:

Chartboost is the leading in-app monetization and programmatic advertising platform. We reach an audience of over 900M unique users every month across more than 300,000 mobile games and work with 90% of the top grossing iOS and Android game developers, globally. The Chartboost SDK is the highest-integrated independent mobile ad SDK and through Chartboost Exchange, Ad Network, and other services, we empower developers to build businesses, while connecting advertisers to highly engaged audiences. We’re rapidly growing and looking for passionate people to expand our team in Barcelona.

Now we’re looking for an exceptional Data Scientist to join a new team focused on the development of our real-time bidder, 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 engineering challenges. In addition, the bidder requires use of machine learning models that are trained in batch and then used to power decision making in real-time.

Who you are:

Passionate . You take your work seriously, whether it’s generating actionable insights from predictive modeling or crafting performant queries. You can balance hitting deadlines with rigorous methodology and care about things like data sanitization and code reviews.

Curious . You stay on top of trends, explore new technologies, and treat every project as an opportunity to nudge closer to the bleeding edge. You’re excited by deep learning, neural networks, and see a million unstructured data points as an opportunity for pattern discovery.

Collaborative . You know that communication can make or break a project. You are excited to mentor junior team members. You know how to give (and receive) constructive feedback. You can work with product managers, analysts, engineers, and maybe even business folk.

Experience . You’ve faced some problems and either solved them or learned an important lesson. Either way, your bag of tricks has some depth and you have strong opinions about what works and what doesn’t (that you’re willing to change in the face of new data). Formal education is always great but an eagerness to learn is more important.

Technologies . We use the right tool for the job (e.g. SciKit-Learn, Spark/MLlib, TensorFlow and more) and our data lives in Hive or S3. You should know your SQL and Python pretty damn well, but the specifics of our stack shouldn’t hold you back.

• You have experience building machine learning models and applying them to real-world problems
• You have a strong understanding of core ML concepts (model fitting, validation, feature selection, etc.)
• You have great data intuition and a background in statistics

Bonus points:

• Experience in ad tech
• You have experience working in an engineering team using an engineering workflow (GitHub, PRs, code review, CI, etc.)
• You have worked with international teams and across different time zones
• You have experience designing and running AB tests

What we offer:

• 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 on Wednesdays
• Competitive salary with bonuses based on performance
• Stock options after 1 year of employment
• English/Spanish lessons and/or other investments in your professional development
• Private health insurance
• Gym membership (Gymforless)
• Transportation reimbursement
• Team building events

More about us:

We are proud of the product we've built and appreciated 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 a 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.