Senior Data Analyst

• 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.

• BS in Computer Science, Math, Statistics, Economics, or other quantitative field; Masters, MBA or PhD preferred
• 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
• Strong passion for gaming!

What we offer you:

Zynga offers a world-class benefits package that helps support and balance the needs of our teams.

To find out more about our benefits, visit the Zynga Benefits

We are proud to be an equal opportunity employer, which means we are committed to creating and celebrating diverse thoughts, cultures, and backgrounds throughout our organization. Employment with us is based on substantive ability, objective qualifications, and work ethic – not an individual’s race, creed, color, religion, sex or gender, gender identity or expression, sexual orientation, national origin or ancestry, alienage or citizenship status, physical or mental disability, pregnancy, age, genetic information, veteran status, marital status, status as a victim of domestic violence or sex offenses, reproductive health decision, or any other characteristics protected by applicable law.

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