Zynga's data science and analytics team uses our unique and expansive data to model and predict user behavior, making our games more personalized and more fun to play! We strive for a better understanding of our players which translates into challenges and features that delight them and increased social engagement within our games.
Requirements
- Fluent in SQL; Solid experience with programming in Python; Adept in at least one visualization tool such as Tableau, or QlikView
- Demonstrable experience with some or all of the following: statistics, experimental design, machine learning, deep learning
- Experience in analyzing large datasets, preferably in a Hadoop or Spark environment, and deploying production ready systems at scale
Responsibilities
- identify and formalize problems to understand user behavior.
- Create systems and analyses to derive insights that change the studio’s world view.
- Work with large amounts of data to find opportunities to improve the experience that Zynga provides to its players
- Deliver analytics and data science projects that are aligned with the roadmap, and product goals - balancing actionable insights to substantially improve core game metrics
- Drive and empower game studio to make quantitatively informed, evidence based decisions through maintaining source of truth data sources and dashboards
- Work closely with game team to design, test, verify and implement machine learning models and product features with Zynga’s games that impact millions of users.
Other
- BS in Computer Science, Math, Statistics, Economics, or other quantitative field; Masters, MBA or PhD preferred
- 3+ years of work experience in data science or analytics roles
- Strong written and oral communication skills
- Ability to work effectively in a fast-paced environment with changing priorities
- Ability to collaborate effectively with engineers, product managers, analysts, and marketing to deliver unambiguous business impact
- Strong passion for gaming!
