Senior Data Scientist (Full Stack)

Zynga; Toronto; On-site; CAD 115,000 - 143,000; Full time

Job summary

A global interactive entertainment leader in Toronto is looking for an experienced full-stack data scientist to build critical ML products. You will leverage your skills in machine learning and software engineering to develop innovative tools and solutions across various gaming platforms. Candidates should have over four years of experience and solid backgrounds in statistical modeling, SQL, and Python. This role offers a competitive salary and a comprehensive benefits package.

Benefits

Medical, dental, and vision insurance

Paid vacation time

Paid parental leave

Qualifications

• 4+ years of experience in data science, machine learning or analytics roles.
• Experience with Bayesian modelling preferred.
• Experience crafting large‑scale ML pipelines.

Responsibilities

• Build end‑to‑end solutions for marketing and product functions.
• Implement machine‑learning pipeline technologies.
• Use AWS, Databricks, and PySpark to develop innovative tools.

Skills

Statistical modelling

Machine learning methods

SQL proficiency

Python proficiency

Mentorship skills

Education

BS in Computer Science, Math, Statistics, Economics, or other quantitative field

Tools

AWS tools

Databricks

Airflow

Job description

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 FarmVille™, 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.

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, optimisation, 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 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

What You Bring:

• A strong statistical background building sophisticated models that can reasonably describe actual underlying data generation processes. Experience with Bayesian modelling 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

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 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 days per calendar year; paid parental and compassionate leave; wellbeing programs for mental health and other wellness support; family planning support through 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 offences, 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).