Associate Data Scientist

Job Description

Your Platform

Your Mission

The Associate Data Scientist will develop and operationalize machine learning models that personalize our in-game store with a Recommender. In addition the candidate will implement strategic (non-ML) experiments originating from business and studio stakeholders.
Our team has a wide range of responsibilities across Game Operations, Marketing, CRM, and Business Planning.

Some examples of other projects you may encounter: Cheating detection; Toxicity detection; Churn Risk and Mitigation; Customer Lifetime Value; Marketing models (Attribution and Media Mix Models); Matchmaking and skill.

The successful candidate will demonstrate the following skills:
• Prototype-to-production engineering skills in Python, including best practices such as source control, proper documentation, library packaging, versioning, testing, containerization, CI/CD, and task scheduling
• Advanced analytics and SQL skills
• Advanced Spark skills
• Machine learning expertise, i.e. regression, classification, and clustering algorithms. Time-series analysis, Bayesian methods, and survival analysis. Deep Learning experience a plus.
• Ability to understand and implement parameterized models from published techniques in Operations Research, Marketing Science, and Econometrics
• Professional habits around model validation, testing, and tracking
• Solid knowledge of statistics, e.g. statistical power analysis, significance testing, t-tests, ANOVA
• Engineering experience in at least one cloud platform such as AWS, GCP, or Azure
• Exposure to stream processing infrastructure such as Kafka and Spark Streaming a plus
• Data engineering skills to facilitate data movement, ETL, and analysis
• Hardware-level knowledge (C++, hacking, cheating) a definite plus!

Player Profile

Minimum Requirements:
• Masters in a quantitative science with heavy focus on data-driven modeling, e.g. Physics, Mathematics, Operations Research, etc; or Bachelors + 2 years industry experience.
• Must be a tenacious and self-catalyzing problem solver. You don't settle for good enough. Must be able to synthesize disparate data, detect and work around broken data, and investigate every possibility until you are confident you have and understand a thorough solution
• Process-oriented driving toward visibility, accountability, and communication
• Team-oriented, ability to build long-lasting and collaborative relationships effectively. You work selflessly and enthusiastically, serving as a positive catalyst for collaborative solutioning
• You contribute to the expertise in every data and analytic conversation as well as you listen with openness to other's expertise
• A passion for analytics and diving into as well as experiencing the products on which you work (video game enthusiasm with a solid understanding of the connection of gameplay to spending behavior is a plus)
• Ability to adapt quickly, high tolerance for ambiguity, and ability to coordinate on a team

Jobcode: Reference SBJ-r11ykm-18-119-132-223-42 in your application.