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Senior Research Scientist


Headquarters: Palo Alto, CA

Data driven decision-making is integral to game development, platform, marketing and operations at MZ. We’re looking for research scientists with Deep Learning experience and a passion for games and Internet technologies to help drive informed decision-making. You will work with top-talent and cutting edge technology on, for example, but not limited to, real-time platform, performance marketing and next-generation games and have a unique opportunity to turn your insights into products used by millions of users. The potential candidate will have an extensive background in a quantitative field, will have experience working with large data sets, and will have some experience in data-driven decision making. The candidate should be results-driven, highly motivated to take up new initiatives and have a track record of using data analytics to drive the understanding, growth and success of a product. Your work will directly impact millions of end-users in the future. This is your chance to leave your legacy and be part of a highly successful and growth company! What you'll be doing:
Collaborate with colleagues across multiple teams (Product, Marketing, Platform, and Security) on unique challenges at scale
Design and evaluate experiments to monitor key product metrics, understand root causes of changes in metrics
Building models of user behavior to guide product roadmap
Research new algorithms to assess the efficacy of marketing campaigns and for real-time anomaly/breakout detection
Research and develop methodologies to guide marketing strategies and for analyzing high velocity streaming data
Detect fraud, phishing, bots, DDoS and other attacks
Design experiments to answer targeted questions such as: 1) Understanding ecosystems, user behaviors, and long-term trends and 2) Identifying levers to help move key metrics. Your background and who you are:
5+ years of experience with development of statistical models and their validation with real data
5+ years of experience with R/Matlab/Python
1+ year of Deep Learning experience
MS or Ph.D. in Computer Science with focus on Data Mining, Machine Learning or a MS or Ph.D. in Statistics, plus 3+ years of experience in the industry
Published papers in top-tier peer-reviewed conferences and/or journals
Extensive knowhow of the literature of one or more of the following: time series analysis, classification, clustering or game theory
Experience with developing algorithms for anomaly and/or breakout detection would be a big plus
Contributions to open source (e.g., R packages) would be a big plus
Experience with mining of data streams and frameworks such as Spark streaming would be a plus
An effective communicator – you shall be an ambassador of MZ Research at external forums

MZ is an equal opportunity employer and considers qualified applicants without regard to race, gender, sexual orientation, gender identity or expression, genetic information, national origin, age, disability, medical condition, religion, marital status or veteran status, or any other basis protected by law.