
Senior Data Scientist, Skill & Matchmaking - VALORANT Data Ops
- Redwood City, CA
- Permanent
- Full-time
- Use machine learning to build products or inform decisions that directly improve the player or fan experience
- Deeply understand the landscape of skill-related problems across our titles, flag new product opportunities, and establish best practices for experimentation and evaluating success within the context of Skill systems
- Own the ML and AI iteration loop including dataset creation, feature engineering, technical discovery and prototyping, model tuning, and model management.
- Build ML and AI tools and products for game development, working with stakeholders and engineers to design and deploy dashboards, web apps, forecasts, and simulations.
- Continually improve our data science practice by identifying novel applications of existing capabilities as well as brand new technical approaches to address critical game and business problems
- Develop relationships with game producers, designers, QA, product managers, and engineering to ensure ML-oriented game features can launch successfully
- Represent data products to non-technical partners and collaborators
- Experience delivering full-stack solutions from requirements gathering through live deployment, with hands-on ownership of design, coding, testing, and release
- Previous experience working on skill-based matchmaking systems (or in optimizing player experiences) for large, multiplayer online games
- Masters in Machine Learning, AI, Statistics, Math, or related Computer Science/Quantitative field, or equivalent professional experience (i.e. B.Sci with 3 years of professional experience, etc.)
- 2+ years of experience with applied data products in gaming or entertainment
- Expertise in Python and SQL
- Expertise in machine learning frameworks such as tensorflow, torch, scikit-learn, or Spark MLlib
- Experience in the design, implementation, and analysis of online experiments
- Experience developing and deploying machine learning models at scale
- Effective at storytelling with data to a diverse and non-technical audience
- Previous experience working on skill-based matchmaking systems (or in optimizing player experiences) for large, multiplayer online games
- Experience designing and implementing online services and features at scale
- Experience with big-data platforms such as Spark and Airflow
- Experience with modern deep learning frameworks in practical applications
- Familiarity with game development engines, tools, and processes
- Fighting game genre exp / passion
- Safeguarding confidential and sensitive Company data
- Communication with others, including Rioters and third parties such as vendors, and/or players, including minors
- Accessing Company assets, secure digital systems, and networks
- Ensuring a safe interactive environment for players and other Rioters