Senior Data Scientist; Full Stack

Level Up Your Career with Zynga!

At Zynga, we bring people together through the power of play. As a global leader in interactive entertainment and a proud label of Take‑Two Interactive, our games have been downloaded over 6 billion times—connecting players in 175+ countries through fun, strategy, and a little friendly competition. From thrilling casino spins to epic strategy battles, mind‑bending puzzles, and social word challenges, our diverse game portfolio has something for everyone.

Fan‑favorites and latest hits include Farm Ville™, Words With Friends™, Zynga Poker™, Game of Thrones Slots Casino™, Wizard of Oz Slots™, Hit it Rich! Slots™, Wonka Slots™, Top Eleven™, Toon Blast™, Empires & Puzzles™, Merge Dragons!™, CSR Racing™, Harry Potter:
Puzzles & Spells™, Match Factory™, and Color Block Jam™—plus many more! Founded in 2007 and headquartered in California, our teams span North America, Europe, and Asia, working together to craft unforgettable gaming experiences. Whether you’re spinning, strategizing, matching, or competing, Zynga is where fun meets innovation—and where you can take your career to the next level.

The Platform ML 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 this vast portfolio. These ML products are vital to Zynga’s success, informing all facets from operational and executive decision‑making. As a full‑stack data scientist, you will use your expertise across machine learning, software engineering, and business analytics to build end‑to‑end solutions that scale across our broad portfolio, embody CI/CD standard processes for continuous operations/improvements, and provide prescriptive actions to some of the most exciting problems in the mobile gaming space and beyond.

You will be entrusted with key initiatives and given a fair amount of autonomy, so it is critical that you bring technical excellence, a mind for architecture, and a mature sense for timelines to this role.

• Use our modern tech stack, AWS (Redshift & Kinesis), Databricks and PySpark, Airflow, and Tableau to develop innovative tools
• Apply statistical methodologies to evaluate performance and account for uncertainties in major initiatives
• Implement groundbreaking machine‑learning pipeline technologies to scale and propel the marketing, publishing, and product functions
• Provide inventive thought leadership in the architecture of our pipelines
• Design and develop in a CI/CD environment

• A strong statistical background building sophisticated models that can reasonably describe actual underlying data generation processes. Experience with Bayesian modeling preferred.
• Experience exploring and implementing innovative ML/AI methods and the ability to apply that knowledge broadly across our various data pipelines to improve efficacy and efficiency.
• Experience crafting large‑scale ML pipelines using technologies such as AWS tools, Databricks, and Airflow. Proficiency in SQL and Python is needed.
• Full‑stack knowledge, especially around software‑engineering principles such as modularity, automated testing, and documentation.
• Strong mentorship skills.
• 4+ years of work experience in data science, machine learning or analytics roles.
• BS in Computer Science, Math, Statistics, Economics, or other quantitative field;
  Masters or PhD strongly preferred.

Zynga offers a world‑class benefits package that helps support and balance the needs of our teams. To find out more about our benefits, visit the Zynga Benefits site. The pay range for this position in Ontario at the start of employment is expected to be between $115,700 and $142,660 per year. However, base pay offered is based on market location, and may vary further depending on individualized factors for job candidates, such as job‑related knowledge, skills, experience, and other objective business considerations.

Subject to those same considerations, the total compensation package for this position may also include other elements, including a bonus and/or equity awards and eligibility to…