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 machine learning and statistical 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 visualize recommendations in a clear and concise way to senior management for decision-making.
- Partner with key cross-functional teams and leadership, including Product, Engineering, and Game Studios.
- Proactively identify and lead improvements to the execution of research and analytics within the Data Science team.
Skills to create thrills
- Master’s degree in Statistics, Data Science, Quantitative Finance, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field
- 4+ years of work experience using statistical analysis and machine learning, coding, and querying data
- Deep understanding of experimental design, machine learning concepts, and statistical models. Experience translating product and business needs into the appropriate modeling or statistical framework.
- You are methodological and practical; able to prioritize and assist with business requests i.e. analyzing A/B tests, unexpected user behavior, complex interaction dynamics, etc.
- Ability to communicate and collaborate effectively with cross-functional partners (e.g., Product, Engineering, Business Strategy, Game Studios) on a day-to-day basis.
- Proficient in coding (Python, SQL) and computer science fundamentals.
- Familiar with data pipelining tools and automation systems. Comfortable partnering with data engineering and software engineers to define data requirements and needs
Bonus points
- Prior experience in advertising data products
- Prior experience working with game studios
- Experience working within cloud data platforms (e.g., AWS, GCP)
- Familiar with data processing (e.g., Spark, Flink, Hive) and storage systems (e.g., S3, Redshift, Bigquery) at large scale
