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.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.Join us and be part of the play!Position Overview: 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.What You'll Do: Use our contemporary tech stack, AWS (Redshift & Kinesis), Databricks and PySpark, Airflow, and Tableau to develop cutting-edge toolsApply statistical methodologies to evaluate performance and account for uncertainties in major initiativesImplement groundbreaking machine‐learning pipeline technologies to scale and propel the marketing, publishing,



and product functionsProviding inventive thought leadership in the architecture of our pipelinesDesign and develop in a CI/CD environmentWhat You Bring: A strong statistical background building sophisticated models that can reasonably describe actual underlying data generation processes. Experience with Bayesian modeling preferredExperience exploring and implementing innovative ML/AI methods and the ability to apply that knowledge broadly across our various data pipelines to improve efficacy and efficiencyExperience crafting large‐scale ML pipelines using technologies such as AWS tools, Databricks, and Airflow. Proficiency in SQL and Python is neededFull‐stack knowledge, especially around software‐engineering principles such as modularity, automated testing, and documentation4+ years of work experience in data science, machine learning or analytics rolesBS in Computer Science, Math, Statistics, Economics, or other quantitative field; Masters or PhD stronglypreferredWhat We Offer You: 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 participate in our 401(k) plan and Employee Stock Purchase Program. Regular, full‐time employees are also eligible for a range of benefits at the Company, including: medical, dental, vision, and basic life insurance coverage; 14 paid holidays per calendar year; paid vacation time per calendar year (ranging from 15 to 25 days) or eligibility to participate in the Company's discretionary time off program; up to 10 paid sick daysper calendar year; paid parental andcompassionate leave; wellbeing programs for mental health and other wellness support; family planning supportthrough Maven; commuter benefits;and reimbursements for fitness‐related expenses.The use of Artificial Intelligence is not being used to screen candidates. The position is for an existing vacancy.We are proud to be an equal opportunity employer, which means we are committed to creating and celebrating diverse thoughts, cultures, and backgrounds throughout our organization. Employment with us is based on substantive ability, objective qualifications, and work ethic – not an individual's race, creed, color, religion, sex or gender, gender identity or expression, sexual orientation, national origin or ancestry, alienage or citizenship status, physical or mental disability, pregnancy, age, genetic information, veteran status, marital status, status as a victim of domestic violence or sex offenses, reproductive health decision, or any other characteristics protected by applicable law.As an equal opportunity employer, we are committed to providing the necessary support and accommodation to qualified individuals with disabilities, health conditions, or impairments (subject to any local qualifying requirements) to ensure their full participation in the job application or interview process. Please contact us at [email protected] to request any accommodations or for support related to your application for an open position.#J-18808-Ljbffr

📌 Senior Data Scientist (Full Stack) - $115,700 - $142,660 A Year (Toronto)
🏢 Zynga
📍 Toronto