Overview
Data Analyst 2 on Zynga's data science and analytics team, using large-scale player data to model and predict user behavior and make games more personalized and engaging.
What you'll do
- Work with large amounts of data to find opportunities to improve the experience Zynga provides to its players.
- Deliver analytics and data science projects aligned with the roadmap and product goals, balancing actionable insights to substantially improve core game metrics.
- Drive and empower the game studio to make quantitatively informed, evidence-based decisions by maintaining source-of-truth data sources and dashboards.
- Work closely with the game team to design, test, verify and implement machine learning models and product features in Zynga's games that impact millions of users.
- Communicate findings to technical and non-technical peers, and collaborate with Product Managers, Game Designers and Engineers to deliver business impact.
What you'll need
- 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 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 analyzing large datasets 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.
- Strong passion for gaming.
Nice to have
- Masters, MBA or PhD.
- Experience analyzing large datasets in a Hadoop or Spark environment.
Read the full description and apply on the company’s own careers page.