Data and AnalyticsJob Subfunction Data EngineeringJob Description Flywheel’s suite of digital commerce solutions accelerate growth across all major digital marketplaces for the world’s leading brands. We give clients access to near real-time performance measurement and improve sales, share, and profit. Perpetua is the retail media platform within the Flywheel Commerce Network, built for the challenger brand; As a Data Scientist (ML Engineer), on the Perpetua team, you will design, experiment with, and ship the machine learning systems that decide how thousands of brands spend their advertising budgets across retail media.

This is the engine that takes autonomous action on the customer’s behalf. Your work runs live across thousands of customers worldwide.Our team primarily works with Python and the Google Cloud Platform suite of products like Cloud Run and Vertex AI to productize cutting-edge data features. Increasingly, this work sits alongside a newer layer of generative and agentic AI; LLM-based reasoning that plans, explains, and reacts to natural language goals.

Work across retail media (starting with Amazon) to understand the intricate relationships between bids, placement, conversion, and sales, and turn that understanding into systems that optimize advertising autonomously on the customer’s behalf.Analyze advertising performance data to improve the core strategies that power Perpetua's advertising engine.Help define how Perpetua’s machine-learning optimization works alongside the emerging generative and agentic layer, deciding where reinforcement learning and classical optimization are the right tools,



and where LLM-based reasoning meaningfully improves how the platform plans and explains its decisions.5+ years of experience as a data scientist or engineer working with data scientistsStrong experience with algorithms and data pipelines processing terabytes of data per dayYou have experience taking concepts from inception through to production and ongoing monitoring and enhancementsExperience in retail media, digital advertising, or e-commerce is an assetYou have worked in organizations with cross-functional teams of ~5 people, solving hard problems collaboratively and working tightly with your immediate team members and across the organizationWorking knowledge of reinforcement learning and linear/non-linear optimization is a strong asset, given how central these techniques are to the bidding engineCuriosity about applied LLMs and agentic systems, and comfort using modern AI-assisted development tools (such as Claude Code) as part of how you buildAble to create and make changes to traditional ML models, including but not limited to Linear regression, XGBoost and Logistic regressionCompetent in training and evaluating models using mainstream data science tools including but not limited to sklearn, Pandas, keras and/or PyTorchExperience in cloud native ML training platforms like BigQuery ML or SnowparkWorking at Flywheel We have office hubs across the globe where team members can go to feel productive, inspired, and connected to others - team members go into Hub Offices 3x a week.Competitive paid time off,



including annual leave plus paid public holidaysGreat learning and development opportunitiesBenefits that help you live your best lifeParental leave and benefitsVolunteering opportunitiesIf you’re looking to connect with teammates on a topic of inclusion and identity, chances are there’s an ERG for that.Every role starts the same, an introductory call with someone from our Talent Acquisition team. there may be some technical role-specific questions during this call.Every role is different after the initial call, but you can expect to meet several people from the team 1:1 and there might be further skill assessments in the form of a Take Home Assignment/Case Study Presentation or Pair Programming/Live Coding exercise depending on the role.

Flywheel Commerce

Network’s goal is to create a culture where all individuals of all backgrounds feel comfortable in bringing their authentic selves to work.

Flywheel Commerce

Network is an Equal Prospect Employer and participates in E-Verify. We do not discriminate based upon race, color, religion, sex, sexual orientation, age, marital status, gender identity, national origin, disability,If you have any accessibility requirements that would make you more comfortable during the application and interview process, please let us know at [email protected] more information about what data we collect and how we use it, please refer to our Privacy Policy.We leverage AI technology to streamline our hiring workflow, though all candidate decisions are made by our Talent Acquisition Team. 120,000 - $140,000 CADOmnicom’s policy requires employees to work in the office for a minimum of three days a week, unless additional in-office days are directed by their agency or manager. Our objective is to increase this requirement over time, and many of our agencies as well as Omnicom’s corporate group already require five days of in-office attendance.We will process your personal data in accordance with our Recruitment Privacy Notice.Link to Recruitment Privacy Notice:

- $140,000 CAD #

📌 Data Scientist (Ml Engineer) (Winnipeg)
🏢 Flywheel
📍 Winnipeg