Data Science Intern – Platform Machine Learning

Zynga Early Careers•Austin, TX

About The Position

Zynga’s Platform Machine Learning (PML) team is searching for a Data Scientist Intern for the summer of 2026. The PML team is a group of full-stack data scientists charged with building core products for the measurement, optimization, and automation of marketing, publishing, and product functions across our vast portfolio of games. These ML products are vital to Zynga’s success, informing all facets from operational and executive decision-making. The Data Science Intern for PML will be responsible for improving and maintaining existing machine learning models in production, as well as exploratory data analysis or proof-of-concept development for testing new models.

Requirements

Working towards an M.S. degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, Physics, Economics, or related quantitative or computational fields
Experience in Python and SQL, specifically for data wrangling, exploratory data analysis, and modeling
Solid problem-solving skills and essential knowledge of probability and statistics
Foundational knowledge of statistical modeling techniques and methods
Able to quickly learn new technologies and systems as needed
Ability to work in a cross-functional and fast-paced environment

Responsibilities

Implement and improve on groundbreaking machine-learning pipeline technologies to scale and propel the marketing, publishing, and product functions
Use our modern tech stack, AWS, Databricks and PySpark, Airflow, and Tableau to develop innovative tools
Apply statistical methodologies to evaluate performance and account for uncertainties in major initiatives
Design and develop in a CI/CD environment