Role Overview
The data science and analytics team at Zynga uses data to model and predict user behavior, making games more personalized and fun to play. The team strives for a better understanding of players, which translates into challenges and features that delight them and increase social engagement within games.
What You Will Do
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, drive and empower game studios to make quantitatively informed decisions, and work closely with the game team to design, test, verify, and implement machine learning models and product features.
Why It Might Be a Fit
The ideal candidate has a strong passion for gaming, experience in data science or analytics roles, and a background in computer science, math, statistics, economics, or other quantitative fields. They should be able to work effectively in a fast-paced environment with changing priorities and collaborate effectively with engineers, product managers, analysts, and marketing to deliver unambiguous business impact.
Requirements
- BS in Computer Science, Math, Statistics, Economics, or other quantitative field
- 5+ years of work experience in data science or analytics roles
- 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
- 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
To apply for this job please visit job-boards.greenhouse.io.
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