Lead Data Scientist- Call Of Duty Mobile

Job Description

Your Platform

Welcome to Activision Mobile. We're a new in-house studio, dedicated to developing the best AAA mobile games in the world.
Our first project is a new AAA mobile title in the Call of Duty franchise and we're looking for great talent from mobile, console and PC backgrounds passionate about their work, who share our belief in what AAA experiences on mobile can and should be. We're incredibly excited to build out our teams and get to work, and invite you to join us in making something special.

Your Mission

Join the Call of Duty Mobile Growth team in building a world-class Business Intelligence toolset and marketing/growth engine. In this role you will own the design, development, and deployment of machine learning models in production to solve complicated marketing/growth problems; partnering closely with data platform, product and research teams.

Responsibilities:
• Identify high-impact analytical problems and find innovative ways to tackle these problems via data analysis, experimentation and statistical modeling
• Lead cross-functional and cross-team relationship building and collaboration with marketing, product and engineering teams
• Work with the game data science and engineering teams to deliver high quality data science powered solutions to interesting problems
• Define and implement metrics to evaluate the performance of the models, both for computing performance (such as CPU & memory usage) and for ML performance (such as precision, recall, and F1)
• Support the deployment of machine learning models on our infrastructure, including containerization, instrumentation and versioning
• Support the whole life-cycle of our machine learning models, including gathering data for retraining, A/B testing and redeployments

Player Profile

Requirements:
• Master's degree in a quantitative field (e.g. Computer Science, Engineering, Mathematics, Physics, Operations Research, Econometrics, Statistics)
• 7+ years of experience designing, building and evaluating practical machine learning solutions
• 7+ years of experience with statistical programming language (e.g. Python, Spark, PySpark)
• 5+ years of database languages (e.g. SQL)

Extra Points:
• Doctorate degree in a quantitative discipline
• Excellent analytical skills, advanced level of statistics knowledge
• Strong expertise with Python/Scala and libraries such as scikit-learn, SciPy
• Familiarity with Bayesian modeling and probabilistic programming
• Familiarity with data platforms and applications such as: Databricks, Jupyter, Airflow, Github
• Familiarity with designing and analyzing A/B testing and other experiment types
• Demonstrated skills in selecting the right statistical tools given a data analysis problem
• Ability to adapt quickly in a fast-moving environment with shifting priorities
• Strong communication skills, for both technical and non-technical audiences
• Ability to handle multiple tasks concurrently and in a timely manner, including large and complex ones
• Demonstrated leadership experience, including people and project management

COVID-19 Hiring Update: While our Mobile Studio is based in Santa Monica, CA, we've transitioned to a work-from-home model and we're continuing to interview and hire during this time. This role is expected to begin as a remote position. We understand each person's circumstances may be unique and will work with you to explore possible interim options.

Jobcode: Reference SBJ-r0wz5e-18-218-138-170-42 in your application.