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Staff Data Scientist

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Job Description:

Activision Blizzard Media and King (a part of Activision-Blizzard) are building a new team to introduce innovative, impactful, and rewarding advertising experiences to our huge audience of highly-engaged players, and to create powerful marketing solutions embraced by the world's biggest marketers. Activision Blizzard Media is seeking a passionate Data Scientist interested in pushing the boundaries of mobile games analytics and advertising product performance.

Your role within our Kingdom

• Leverage understanding of metrics, testing methodology and business strategy to help define the roadmap of the company.
• Promote and use advanced modeling techniques (eg. reinforcement learning, time series forecasting, causal methods) to provide precise measurement of our player base and build data products powering our advertising platform.
• Present and visualise results in a clear and concise way to senior management for decision making.
• Lead data-driven decision making by partnering with key cross-functional teams and leadership.
• Proactively identify and lead improvements to the execution of research and analytics within the Data Science team.

Skills to create thrills

• 5+ years experience as a data scientist in a technology company
• Can research, identify and disseminate best practices across teams in terms of tools, systems and processes.
• Ability to communicate and collaborate effectively with cross-functional audiences (e.g Product, Engineering, Business Strategy).
• You are methodological and practical; able to prioritize and assist with business requests i.e. analyzing A/B tests, strange player behaviour, complex interaction dynamics, etc.
• Experience with a broad set of statistical and machine learning methods to solve and optimize critical business problems and metrics
• Bonus points
• Prior experience in advertising data products.
• Ability to learn quickly and work in a fast paced, rapidly changing and collaborative environment.
• The ability to write complex SQL queries and work effectively in any functional programming language for numerical analysis purposes.
• Strong adherence to data driven development and design, with an experimental and analytical approach to product improvement..
• Able to show good communication skills, and experience in visualising and reporting learnings.