Principal Data Scientist, Live Ops Analytics

Key Skills

Java Programming, Python Programming, SQL, Agile methodologies, Data science techniques, R Programming, Data Analysis

Job Description

Founded in 1979, Activision has continuously disrupted the world of entertainment as a leader in the videogame industry. With a history of delivering iconic game changers -- like Pitfall®, Tony Hawk®, Guitar Hero®, Crash Bandicoot™, Skylanders™ and Call of Duty® -- our obsession is delighting our players around the globe. Focused and committed to innovation, we consistently deliver the most beloved, engaging and successful entertainment.

And while we have world-class franchises, infrastructure and resources, our success comes from a passionate, talented and diverse team of people producing greatness together. So, if you’re interested in our biggest priority, it’s our people.

We’re currently driving the next era for our company and community by creating amazing experiences for fans and continuing to make Activision an inclusive place where everyone can thrive.

Join us, make history. To learn more, check us out at www.activision.com, https://blog.activision.com or @Activision on Instagram, Twitter, Facebook and LinkedIn.

Your Mission

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