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Data Scientist - Electronic Arts
Data Scientist
Data Scientist driving game‑centric insights using Python, ML, and cloud analytics to empower design and player experience across EA titles.
About the role
Key Responsibilities
- Design, develop, and deploy predictive models to forecast player behavior and monetization trends.
- Collaborate with game designers and product teams to translate business questions into analytical solutions.
- Extract, clean, and transform large datasets from game telemetry and external sources using SQL and Python.
- Visualize findings with Tableau or Power BI to communicate actionable insights to stakeholders.
- Maintain and scale data pipelines on AWS (S3, Redshift, Glue) ensuring data quality and performance.
Requirements
- BS/MS in Computer Science, Statistics, or related field with 3+ years of data science experience.
- Proficiency in Python (pandas, scikit‑learn, TensorFlow/PyTorch) and SQL.
- Hands‑on experience with cloud services (AWS) and data warehousing.
- Strong analytical mindset with ability to explain complex models to non‑technical audiences.
- Passion for gaming and understanding of player engagement metrics.
Skills
pythonmachine learningsqlaws