Product Data Scientist, thatgamecompany

• Have deep passion for video games; be a gamer and think on behalf of our players
• Be curious, a problem solver and a self starter who is comfortable taking risks. Know how and when to apply your knowledge, and be willing to share with the rest of us
• Be comfortable with ambiguity and able to navigate it to iteratively refine the problem space
• 3+ Years of Experience applying Data Science methodologies to product development
• Strong understanding of machine learning and statistical methods, including classical ML, deep learning, NLP, and anomaly detection
• Expertise in statistical concepts such as experimental design, hypothesis testing, regression, classification, and clustering
• Proficiency in writing clean, efficient code in Python, Java, or Typescript
• Experience writing optimized SQL Queries to build and analyze datasets
• Familiarity with modern Cloud Platforms (preferably GCP)
• Exposure to big data processing tools like BigQuery, Redshift, Snowflake, Spark, and Beam
• Strong communication skills, desire to understand the data you’re using, and the ability to explain what you built and why you built it
• Willingness to continuously learn, adapt, and step outside of your comfort zone

Desirable

• We’re looking for an experienced Data Scientist to help us develop scalable data-driven solutions that enhance player understanding, foster safe and secure online communities, and optimize the overall player experience
• This role is critical for innovating and expanding upon our existing game analytics tooling, and will work with data professionals, application engineers, and stakeholders throughout the studio to create new functionality that serves the needs of gamers AND game developers everywhere
• Comb through large sets of game telemetry data to uncover player relationships, feature usage trends, security threats, inefficiencies, and opportunities to improve the player or developer experience
• Design and test innovative solutions to improve new player retention through data-driven insights and automation
• Develop novel solutions to identify, surface, and mitigate non-human bot activity
• Translate data-driven solutions into product features to automate and share our innovations
• Give a presentation to help talk through some unintuitive discoveries from one of your data models