Senior Data Scientist (Full Stack)

Zynga; Toronto; On-site; CAD 80,000 - 120,000; Full time

Job summary

Join a dynamic team at a forward-thinking company where you can leverage your expertise in machine learning and data science to create impactful solutions. As a full-stack data scientist, you'll work on innovative projects that drive the success of mobile gaming. Collaborate with talented professionals and enjoy a culture that values creativity and technical excellence. This role offers a unique opportunity to contribute to exciting challenges in the gaming industry while enjoying a comprehensive benefits package. If you're passionate about data and technology, this is the place to elevate your career.

Benefits

World-class benefits package

Flexible working hours

Career development opportunities

Inclusive workplace culture

Qualifications

• 4+ years of experience in data science or analytics roles.
• Strong background in statistical modeling and machine learning.

Responsibilities

• Develop innovative tools using AWS, Databricks, and PySpark.
• Implement machine-learning pipelines to enhance marketing functions.

Skills

Statistical Modeling

Machine Learning (ML)

Data Analysis

Python

SQL

Education

Bachelor's in Computer Science

Master's or PhD in related field

Tools

AWS

Databricks

Airflow

Tableau

PySpark

Job description

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!

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.

Responsibilities:

• 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
• Providing inventive thought leadership in the architecture of our pipelines
• Design and develop in a CI/CD environment

Required Skills and Experience:

• 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
• 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

What 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

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 [e-mail] to request any accommodations or for support related to your application for an open position.

Please be aware that Zynga does not conduct job interviews or make job offers over third-party messaging apps such as Telegram, WhatsApp, or others. Zynga also does not engage in any financial exchanges during the recruitment or onboarding process, and will never ask a candidate for their personal or financial information over an app or other unofficial chat channel. Any attempt to do so may be the result of a scamp or phishing attack, and you should not engage. Zynga’s in-house recruitment team will only contact individuals through their official Company email addresses (i.e., via a zynga.com, naturalmotion.com, smallgiantgames.com, themavens.com, gram.gs email domain).

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