Data Science Manager, Riot Games

• M.S. in ML, AI, Statistics, Math, or related Computer Science/Quantitative field with 4+ years of industry experience or equivalent experience (i.e., Ph.D. with 2+ years relevant experience, or B.S. with 6+ years relevant experience)
• Proven ability to mentor and coach data science teams to success
• Hands-on programming experience in Python and SQL
• Deep knowledge of data science methodologies, including machine learning, statistics, deep learning, and optimization
• Experience in data science use cases and data engineering concepts (e.g., modeling, pipelines, distributed processing)
• Exceptional communication and collaboration skills, with a proven track record of effectively engaging with multidisciplinary teams
• We will be looking at your past studies, experience, and your personal relationship with games
• If you embody player empathy and care about players' experiences, this could be your role!

Desirable

• As a Data Science Manager, you will lead a team of 3-6 Data Scientists and collaborate with multidisciplinary teams of Software Engineers, Data Engineers, and Data Scientists, focusing on delivering the best player journey possible
• You are responsible for hiring, performance management, professional development, and maintaining a healthy team environment
• Reporting to the head of LDC, your leadership will be instrumental in setting the vision for data science projects, ensuring alignment with the broader product vision, and nurturing a culture of excellence and continuous learning
• Ensure the delivery of player value through your team’s projects, being accountable for the team’s deliverables and technical design
• Lead the conceptualization and setting of a clear, actionable vision for data science projects within your team, aligning with and contributing to the broader objectives of LDC and Riot Games
• Act as a pivotal liaison between your team, stakeholders, and other organizational units, fostering a collaborative environment to ensure alignment around the broader data product vision
• Communicate clearly and often, ensuring your stakeholders and team are well-informed
• Build healthy, highly functional teams strongly aligned with Riot culture, keeping aligned with your leadership team on hiring needs and being a skilled and effective interviewer
• Understand and maintain good team health and resolve personnel issues quickly and effectively across organizations
• Hold a high bar for performance, grow and coach every team member, and build succession plans to backfill key roles and eliminate single points of failure effectively
• Ensure the team is building products/services meeting high data science, ML, AI, and data engineering standards and that products are well-tested and well-supported operationally
• Be a great career mentor/coach, partner with recruiting in hiring world-class scientists and engineers, and create a diverse and inclusive team environment