Senior Data Scientist, Riot Games

• 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

Desirable

• Riot Data Scientists combine their broad technical expertise across data processing, automation, machine learning ("ML"), artificial intelligence ("AI"), and experimental design to inform decisions and develop data-powered products
• As a Senior Data Scientist, you’ll dive into projects across all areas of game development and will directly impact Riot’s live games
• You’ll work at a cross team scope, contribute to product vision, inform technical designs, and design datasets & models for our most important data applications
• As a Data Scientist on the Valorant Data Ops team, you will answer the question “How can data help us deliver the best possible player experience, at launch and beyond?
• ” You will use pre-production datasets and simulations to help designers answer their most nuanced game questions
• You will build production quality ML models for skill estimation, game understanding, matchmaking, personalization, and more
• You will collaborate with producers, game designers, analysts, and engineers – on game teams directly and in partnership with shared platform teams
• You will report directly to the Data Science Manager within Valorant Studio
• 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
• For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes the delight of players