Senior Product Data Scientist

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.

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