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Key Responsibilities:
- Develop and deploy advanced machine learning models and algorithms at scale to drive innovation in our games
- Dive into multi-game projects to leverage data and provide insights that elevate the player experience at launch and beyond- Utilize machine learning to build products or inform decisions that directly improve player engagement, retention, and monetization
- Own the end-to-end ML lifecycle including data acquisition, feature engineering, model training, tuning, and deployment
- Effectively communicate data-driven insights and recommendations to technical and non-technical stakeholders
- Stay up-to-date with the latest advancements in AI/ML and apply them to drive continuous improvement in our gamesInclusive Culture, Work/Life Balance, & Career GrowthKey job responsibilities
1. Develop and deploy advanced machine learning models and algorithms at scale to drive innovation in games.
2. Leverage data and provide insights to enhance the player experience at launch and beyond, working on multi-game projects.4. Utilize machine learning to build products or inform decisions that improve player engagement, retention, and monetization.
5. Own the end-to-end ML lifecycle, including data acquisition, feature engineering, model training, tuning, and deployment.
6. Effectively communicate data-driven insights and recommendations to technical and non-technical stakeholders.
7. Stay up-to-date with the latest advancements in AI/ML and apply them to drive continuous improvement in games.
- 3+ years of data scientist experience
- 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
- 3+ years of Games Industry (supporting title Development, Release, or Live Ops) experience
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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