Principal Data Scientist, Live Ops Analytics

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

The Live Ops Analytics Team is looking for a data science expert. As a thought leader within the Live Ops Team, your mission is to put the science into decision making.

Priorities can often change in a fast-paced environment like ours, so this role includes, but is not limited to, the following responsibilities:

• Being the trusted expert charged with evolving our Data Science roadmap for all product analytics teams
• Develop novel analytics to qualitatively deduce and draw conclusions from player behavioral data that directly influences game design, play balance, retention of our live titles
• Design and implement predictive models to make an impact on our future business decisions, product planning, and personalization
• Provide technical leadership and mentorship to data scientists with a wide range of backgrounds

• Democratize and socialize learnings by contributing to a centralized repository that informs future game design, and is carried across titles and franchises
• Evangelize data science outside the company to increase company visibility and recruit new talent

Player Profile

Minimum Requirements:

• Advanced degree required with technical focus (Statistics, Computer Science, Physics, Engineering, etc.)
• 10+ years total experience in analytics
• Exceptional technical skills with SQL, R/ Python for data analysis and experience in ML driven products
• Demonstrated programming skills either in data science or software development settings a plus
• Expert at deriving narrative from data and communicate the results effectively
• Expert in experimentation and causal inference methodologies
• Comprehensive experience with predictive and prescriptive modeling
• Deep product sense, with a solid understanding of user engagement and monetization strategies in gaming, entertainment/ecommerce service providers, or mobile apps a plus

Extra Points:

• Consistently demonstrates ability to identify and meet the needs of others across the company
• Guiding teams to be agile in response to change and to solve complex problems

• Being active in the industry, recognized for application of science to games & entertainment 
• Delivering breakthrough analytical projects resulting in measurable engagement or revenue impact 
• Exemplifies multi-dimensional?skill set?–?data science,?experimentation, analysis, engineering, etc. 
• Being a renowned champion for best practices within the analytics, data and engineering teams
• Provides context, not control, remaining highly aligned but loosely coupled