Data Scientist, Monetization

San Francisco, CA

The Product and Data Strategy (PDS) team shapes the direction of our platform, and defines and leverages data to shape key decisions, and to identify new opportunities.

We are looking to recruit hard-working, versatile individuals who have excelled in previous roles and are looking for a new challenge in a dynamic and exciting environment.

Data Scientists in the PDS team apply advanced analytical methods and tools to drive value from the data, deliver an in-depth understanding of consumer behaviors and support multi-channel targeting and personalization. We apply data science methods, build data driven products and develop a deep understanding of what makes our business tick.

In the Monetization Product Delivery group our data scientists work in a multidisciplinary team alongside Machine Learning and Software Engineers to deliver product recommendations and targeting models that help our players discover relevant content across our platform.

Be involved in a wide range of analytical project activities: from requirements gathering through data modelling and processing; carrying out segmentation or building and deploying predictive models; presenting findings to partners and building reusable data products through close collaboration with the relevant engineering teams.

You could have a background in data science, consulting, computer science or elsewhere, but you will be passionate about delivering value from large volumes of data and have the blend of commercial and technical skills required to do so.

Primarily based in San Francisco, but a global role supporting colleagues in other offices in the US, Europe and Japan. Some global travel may be required.

• Experience developing and maintaining recommendation algorithms that drive revenue growth through monetization strategies, and conducting experiments to validate the effectiveness of the developed models and continually iterating to improve performance
• Strong data management and coding skills. You can write production quality code in both SQL and Python, including common data science libraries such as scikit-learn
• An academic background that includes the fundamentals of data science. You will probably have a Masters’ degree or PhD in a relevant technical or mathematical field
• Strong written & verbal communication skills; including the ability to present detailed analyses to a broad audience
• Ability to work collaboratively with other business units to achieve common objectives
• Organized self-starter, with drive and commitment; able to work with little supervision
• Excellent interpersonal skills and the ability to maintain effective working relationships

• Experience working with data science tooling on major cloud computing platforms
• Experience of relevant industries (e.g. gaming, digital commerce, subscription services)
• Interest in gaming

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