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Tier-1 brand, metro location, mid-level generalist data role with broad required skills increases competition.
Core analytics skills transfer broadly, but gaming domain knowledge and product context raise specificity.
Explicit 5+ years plus required SQL, Python, Hadoop/Spark and ML increases shortlist filtering.
Analyze large-scale game data to identify user behavior insights and opportunities for experience improvement.
Develop, test, and implement machine learning models and analytics projects that drive measurable improvements in core game metrics affecting millions of users.
Collaborate with game teams, product managers, and engineers to translate analytics into actionable product features and maintain dashboards as a source of truth.
Bachelor's degree in Computer Science, Math, Statistics, Economics, or related quantitative field; advanced degrees preferred.
5+ years of work experience in data science or analytics roles.
Proficient in SQL, Python programming, and at least one visualization tool like Tableau or QlikView.
Experience working with large datasets in Hadoop or Spark environments and deploying production-ready systems at scale.
Experienced in developing data and machine learning solutions specifically for gaming or interactive entertainment products.
Comfortable operating in fast-paced and evolving environments, collaborating across multidisciplinary teams.
Skilled in delivering impactful, evidence-based insights to influence product and business decisions at scale.