brydonparker.ca · published in 3 editions
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Brydon · Level 60 Dwarf Hunter
Data scientist by day. Explorer at heart.
Brydon · Jedi
A clear mind. A steady hand. A cyan lightsaber.
Brydon · Data scientist
Good questions. Better experiments. Measurable impact.
Data scientist and data leader
Brydon Parker
I find and capitalize on the highest-leverage opportunities to drive measurable business impact — through experimentation, causal inference, data deep dives, and ML/AI.
Currently working on new market growth and AI at Shopify. Previously Stan’s first data hire, Head of Data, and interim GM of stan.store, helping grow the business from $1M to $40M+ ARR.
📍 Toronto, ON, Canada · brydonparker4@gmail.com
experience
Shopify — Senior Data Scientist
Oct 2026 – PresentToronto, ON
- Lead Data Scientist on Shopify’s New Market Growth team, helping Shopify expand into new markets.
- Building AI tooling for use across Shopify.
Stan — Interim GM, stan.store
Jul 2026 – Oct 2026Toronto, ON
- Established growth experimentation systems to prioritize opportunities, test changes, and guide investment decisions.
- Led initiatives to unlock international growth for stan.store: payments, local currencies, localized languages.
- Improved the core product experience across email flows, community, and core infrastructure.
Stan — Head of Data
Jan 2025 – Oct 2026Toronto, ON
- Designed and ran the experimentation, causal inference, and measurement programs used to evaluate product, growth, pricing, and AI investments across the business — 100+ experiments annually.
- Built the forecasting, opportunity-sizing, attribution, and incrementality frameworks that prioritized growth initiatives and informed the investment decisions behind scaling from $1M to $40M ARR.
- Built the recommendation systems and evaluation frameworks powering Stanley for Instagram, an AI-powered creator coaching platform ($1.5M+ ARR) — shipping 3 statistically significant production improvements and surfacing 3 more high-confidence opportunities, contributing to 8/10 user-satisfaction scores for AI ideation and recommendations.
- Scaled the function from its first hire into a team of 8 across data science and data engineering, setting technical direction while staying hands-on with the highest-leverage modeling and measurement work.
Stan — Founding Data Scientist
Jul 2022 – Jan 2025Toronto, ON
- First data hire at Stan; built the company's analytics, experimentation, and AI capabilities from the ground up while helping scale the business from $1M to $40M ARR.
- Built Stan's data & experimentation platform from scratch — data infrastructure, executive reporting, experimentation systems, forecasting, and company-wide measurement frameworks — enabling hundreds of experiments annually.
- Defined the company's core metrics and launched Stanley, Stan's first AI-powered creator coach — establishing the foundation for product decision-making and the company's broader AI strategy.
Shopify — Senior Data Scientist
Mar 2021 – Jul 2022Toronto, ON
- Lead Data Scientist for the launch of Shopify's $5 Starter Plan — driving financial modeling, opportunity sizing, experimentation, and success measurement for one of Shopify's most significant growth initiatives.
- Built self-serve analytics and decision-support systems used across Shopify's Growth org to inform product, investment, and go-to-market decisions.
- Mentored data scientists and product teams on experimentation, causal inference, opportunity sizing, and machine learning — raising analytical rigor across the org.
Deloitte — Senior Data Scientist
May 2018 – Mar 2021Toronto, ON
- Data science lead on a retail demand-forecasting system (PyTorch on Azure Databricks) for 100k+ items and $1B+ in annual sales, cutting inventory costs ~30% vs. baseline.
- Drove model enhancements that reduced forecast error by $10M+ and improved performance 5% over baseline, while supervising a team of 5 data scientists.
- Built deep-learning + NLP risk-detection models (TensorFlow / PyTorch) achieving PR-AUC > 0.8 across most risk classes for major retail and financial-services clients.
education
University of Toronto
2014 – 2019B.Sc. — Specialist in Mathematical Applications in Economics & Finance, Major in Statistics
skills
- Programming:
- Python, SQL
- Analytics & Statistics:
- Experimentation, Causal Inference, Forecasting, Attribution, Incrementality, Opportunity Sizing
- Machine Learning & AI:
- Predictive Modeling, Recommendation Systems, LLM Applications, AI Evaluation Frameworks
- Data & Infrastructure:
- Data Modeling, Data Pipelines, Snowflake, dbt, Airflow, Airbyte, Streamlit, Git
side projects
🍁 Made in Canada ↗
A product search engine for finding things actually made in Canada — clothing, food, home, beauty and more — from verified Canadian brands. Built on top of Shopify's UCP and Cohere's reranker for semantic search, with a Next.js frontend and Python/FastAPI backend.
🗺️ TorCrime ↗
Real-time, personalized crime alerts for your Toronto neighbourhood — set your address, radius, and the crime types you care about, and get notified the moment something's reported nearby. Paired with a free, open-source dashboard for exploring crime trends and safety across all 158 Toronto neighbourhoods. iOS app + Next.js web.
🖥️ torc.sh ↗
A control room for your coding agents — real terminal panes, live status, token usage, and running costs in one view. See which agents are working, finished, or waiting on you without cycling through tabs. Open source, built for macOS.
more projects
📊 Canada Dashboard ↗
A dashboard tracking key metrics for Canada — population, economy, and more, in one place.
💸 Spend Breakdown ↗
Visualize and auto-categorize your spending across credit cards and chequing accounts with keyword-based transaction classification.
📺 Top Canadian YouTube ↗
Find the top YouTube videos in Canada at any point in time — and trace the country of origin behind each channel.
🍿 Movie Rex ↗
Pick a few of your favourite movies and get recommendations for similar ones you'll love. Built on the MovieLens 25M dataset.
⏳ Time Left ↗
A tiny motivational tracker — how many days are left and what % complete the month, quarter, and year are.
⚖️ Household Budget Balancer ↗
Helps couples fairly distribute their joint expenses — splitting costs equitably (e.g. proportional to income) rather than a flat 50/50.