Our client, a global entertainment brand is looking for a Data Scientist in their Bay Area office. 

Responsibilities

• Build predictive models and automated machine learning pipelines to guide marketing campaign strategies with applicable insights, by analyzing high velocity streaming data
• Work with colleagues across multiple teams (Marketing, Game and Data Science Engineering) on unique challenges at scale
• Design experiments to monitor important product metrics, understand causes of changes in metrics
• Research new algorithms to assess the efficacy of marketing campaigns and for real-time anomaly/breakout detection, e.g. fraud and bot detection

Requirements

• Design experiments to answer targeted questions with hypothesis testing such as: 1) Understanding ecosystems, user behaviors, and long-term trends and 2) Identifying levers to help move key metrics.
• Experience with ads product development (e.g., DSP/ad-exchange/SSP) and is ideal
• Experience with Google BigQuery and Kubeflow and Looker is helpful
• Contributions to open source (e.g., R/python packages) is a plus
• Published papers in high impact peer-reviewed conferences or journals is ideal