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High applicant density due to strong employer brand, metro location, and common mid‑level data skillset.
Medium because analytics skills transfer broadly, but gaming product experience and collaboration expectations matter.
High because JD mandates 5+ years plus SQL, Python, ML, and Spark/Hadoop experience.
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Analyze large datasets to identify opportunities improving player experience and game metrics.
Design, test, and deploy machine learning models and analytics solutions impacting millions of Zynga players.
Collaborate cross-functionally with game teams to convert data insights into actionable product changes and features.
Bachelor's degree in Computer Science, Math, Statistics, Economics, or related quantitative field; advanced degrees preferred.
5+ years of professional experience in data science or analytics roles.
Fluent in SQL and Python; experience with visualization tools like Tableau or QlikView.
Experience working with large datasets in Hadoop or Spark environments and deploying production-ready systems.
Experienced in applying machine learning, deep learning, and experimental design to drive business impact in gaming or comparable tech environments.
Proven ability to communicate complex data insights effectively to technical and non-technical stakeholders.
Skilled at working in fast-paced, dynamic settings collaborating closely with engineers, product managers, and game designers to influence product decisions.