Product Data Scientist
thatgamecompany- Full Time
- Mid-level (3 to 4 years)
Candidates should possess a Bachelor's degree in a quantitative field such as Statistics, Mathematics, Computer Science, or a related discipline, and have at least 5 years of experience as a Data Scientist. Strong experience with machine learning methodologies, statistical modeling, and data analysis is required, along with proficiency in programming languages like Python and experience with cloud computing platforms like AWS, specifically Redshift and Kinesis. Familiarity with tools such as Databricks, PySpark, Airflow, and Tableau is also desired.
As a Senior Data Scientist, you will develop innovative tools using a modern tech stack including AWS (Redshift & Kinesis), Databricks and PySpark, Airflow, and Tableau to support measurement, optimization, and automation across Zynga’s marketing, publishing, and product functions. You will apply statistical methodologies to evaluate performance, implement machine-learning pipeline technologies to scale operations, provide thought leadership in pipeline architecture, and design and develop solutions within a CI/CD environment, ultimately delivering prescriptive actions for key initiatives.
Develops social games for mobile platforms
Zynga develops social games primarily for mobile and web platforms, with popular titles like FarmVille and Words With Friends. Their games are designed to be engaging and accessible, featuring social elements that allow players to connect with friends. This focus on social interaction helps keep users engaged and encourages them to return to the games. Zynga targets casual gamers who prefer quick and easy entertainment on their smartphones and tablets. The company uses a freemium model, offering free downloads with optional in-game purchases for enhancements and generating revenue through advertising. Zynga also partners with organizations like Amazon Prime and educational initiatives to expand its reach and support social causes.