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About the Role
You will build the data processing and analytics engine underneath Workbench. This part of the platform is responsible for ingesting customer data that comes in inconsistent shape and format, and turning it into clean, standardized, product-ready datasets on which repeatable analytics workflow can be conducted. This is a coding role where your deliverable is code, not data. You will write the data ingestion, transformation and imputation logic, build it so it runs automatically against data we have never seen, and produce the metrics and prototypes that our industrial engineers and product team ask for. You will report to the Chief Scientist and work shoulder to shoulder with domain experts and the engineering team. You do not need to be a supply chain expert on day one; the domain questions come from the people around you. What you need to bring is the ability to write efficient and maintainable code that automates what is currently a manual and time-consuming process, and the judgment to see the repeated pattern and build it into the product instead of doing it by hand a hundred times.
Responsibilities
- Develop and deploy code that ingests, cleans, reconciles, and standardizes large, heterogeneous customer supply chain datasets, and do it in a way that holds up when the next customer's data looks nothing like the last.
- Turn raw data files into the standardized order, inventory, and shipment datasets that Workbench is built on. Find the patterns across customers and build the automation that handles them generically.
- Produce the metrics, segmentations, and analyses the industrial engineers and product team need, by writing the code that computes them, not by working a spreadsheet.
- Build data visualization demos and prototypes so the team can see what an analysis looks like before engineering builds the production version. You will not own production UI but will give input on its development.
- Hand your transformation and analytics code to the engineering team in a state they can take to production and stay the owner of the data logic underneath it.
- Lean hard on AI coding tools to move fast and own every line they produce. If you cannot read it, debug it, and defend it, it does not ship.
Requirements
- Fluency in Python and tabular analytics at scale, proven on messy, real-world data. You can load an unfamiliar file, inspect it, reshape it, reconcile it, and compute what is asked, and you can do it live. This is non-negotiable and it is what we screen for first.
- Experience with tabular data tools like SQL, Polars or Arrow.
- The habit of using AI coding tools to go fast while genuinely owning the output. You can read the code, catch when it is wrong, and fix it.
- The business sense to see a repeated pattern and turn it into a clear ask for an engineering team, and the communication to present it well.
- Enough visualization judgment to say what to show and how, even though you will not build the front end.
- A Bachelor's in Computer Science, Data Science, Statistics, Engineering, or a related quantitative field, or equivalent proof you can do the work. We care more about how you code and think than about years.
Skills
- Python
- Tabular analytics
- SQL
- Polars
- Arrow
- AI coding tools
- Data visualization
Location
- Toronto
Work Type
- Hybrid
- Full-Time
Experience Level
- Senior
Education Level
- Bachelor's in Computer Science, Data Science, Statistics, Engineering, or a related quantitative field, or equivalent proof you can do the work.
Salary/Compensations
- $125,000 - $155,000 CAD base per year
Benefits
- Comprehensive health and dental coverage for you and your family
- Competitive paid time off and flexible leave policies
- Retirement savings programs and employer contributions
- Dedicated learning and development budget
- Hybrid work options
- Equipment allowances
- Internet reimbursements
- Business travel coverage
- Employee stock options (ESOP), where applicable.
About the Company
- Fulfillment IQ is a supply chain engineering and transformation company that helps brands, retailers, and 3PLs design, build, and scale high-performance logistics operations.
- We work at the intersection of strategy, supply chain, and technology where we solve complex, real-world problems across warehouse design, automation, order management, transportation, and end-to-end supply chain execution.
- Workbench is our warehouse design platform, built inside CrossDock Studio, FIQ's product studio. It is early, it is real, and it is backed by Prologis. We are a small team building a genuinely new product, not maintaining a mature system.
Equal Opportunity
- Fulfillment IQ is a people-first company built on trust, collaboration, and ownership. We are proud to be an equal opportunity employer and are committed to building a diverse, inclusive, and high-performing workplace. We consider all qualified applicants without regard to any ground protected under the Ontario Human Rights Code, including race, ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity, gender expression, age, marital status, family status, or disability.