Senior Data Scientist, Riot Games

• Ph.D. in Machine Learning, AI, Statistics, Math, or related Computer Science/Quantitative field, or equivalent experience(i.e., M.Sc. with over two years of relevant experience, or B.Sc. with over four years of relevant experience, etc.)
• 2+ years experience with big data technologies such as Spark
• Strong understanding and experience applying ML and AI to improve business understanding and product development
• Hands on experience with building and maintaining mission critical models
• Experience developing data systems and ML services from scratch, including gathering requirements and designing scalable, production-ready architecture
• Proficiency in Python, SQL, and common data science frameworks (scikit, MLlib, etc)
• Effective at storytelling with data to a diverse and non-technical audience

Desirable

• As a Senior Data Scientist working with the Anti-Cheat data team, you will shape the way data is used to protect players
• By partnering with our game teams, you will apply your expertise in data science and exploration to stay steps ahead of bad actors looking to disrupt our players
• . Our work includes developing data powered products backed by novel machine learning and artificial intelligence capabilities, running large-scale distributed systems, and building traditional data pipelines
• The team is embedded in the larger anti-cheat organization
• You will report directly to the Data Science Manager for the anti-cheat data team
• You will use machine learning to build products or inform decisions that directly improve the player experience
• You’ll operate with a strong results orientation, increasing the team’s impact by cultivating productivity and by prioritizing high-value work with the team
• You will work with partners across the organization, gathering requirements, designing project plans, determining approaches, and defining success criteria
• You will improve our data science practice by identifying novel techniques and technical approaches
• Provide technical expertise throughout the product life cycle including design, implementation, and delivery of features while continuously improving the technical quality and efficiency
• You will mentor and advise other data professionals in using best practices
• For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes the delight of players