Part Time
USD 7-15 / hour paid on a fixed basis
20
Apr 8, 2026
Location: Remote (Global) Time Commitment: ~20 hours/week (Flexible hours, strict deadlines) Compensation: Hourly (USD) + Performance Bonuses
We are a fast growing boutique consulting firm based in Toronto and we are in the business of helping American software companies win. From US-based SaaS platforms to crypto trading firms and anything in-between.
We are looking for a Data Scientist who loves to code to join our team.
We are looking for someone who enjoys the "builder" side of data science. You are the kind of person who enjoys writing clean Python scripts to clean and model data, and even create streamlit apps to stand them up.
You will be working directly with the Founder (Robert), effectively acting as his technical right hand. If you are sharp, curious, and want to work on projects that actually move the needle, we’d love to meet you.
What You’ll Be Working On
Our projects vary, which keeps things interesting! You might:
Automate Analysis: Write scripts (Python preferred) that take messy raw data and turn it into clean, structured insights or formatted Excel reports.
Build Predictive Models: Help us test hypotheses—like figuring out which crypto assets might dip—using statistical methods or machine learning.
Create Tools: Occasionally help us build simple calculators or internal tools so non-technical people can use your models.
Visualize Data: Create clear, honest charts that tell the truth about the data (we value "high data-to-ink ratio").
Who We Are Looking For
You don't need to be a "Product Manager" or a "Business Guru"—we handle the strategy. We need someone who is technically fluent and can execute ideas quickly.
The Must-Haves:
You are a coder at heart: You are very, very capable in your language of choice (we strongly prefer Python, but if you are a wizard in R, we are open to it). You aren't a "tourist" in code; you know how to write clean, logical functions. You can work at the speed of thought and use AI to help you intelligently too (i.e. without totally outsourcing your thinking to it).
You are "Super Sharp": You catch details others miss. You notice when a number looks wrong before you send the report.
Fluent English (C2): We collaborate a lot. You need to be able to explain how your code works or why a model is giving a certain result in clear English. Accents are welcome but we need to be able to understand you.
Data Intuition: You understand that data isn't just numbers—it represents real-world behavior (churn, revenue, usage).
The "Nice-to-Haves" (Bonus Points):
Experience with Streamlit or similar tools: If you know how to spin up a quick web app to show off your work, that’s a huge plus.
LLM / AI Interest: Familiarity with using ChatGPT/Claude APIs to clean data or speed up workflows. Big bonus for creating langchain/n8n like tools for modern LLM pipeline processing (high code low code are all fine)
Sophisticated Machine Learning: Experience using various models for predictive analytics (time series, categorical, and so on) and sourcing cleaning the data for modelling.
How to Apply
Please reply with:
Your "Builder" Story: Tell us about a time you used code to solve a boring or difficult problem. Did you automate a spreadsheet? Build a script to scrape data? (1 short paragraph)
(optional) Your "Analyst" Story: What is the most interesting insight you’ve found in a dataset? Or, what is the most interesting technical project you've worked on? (1 short paragraph)
A White Tiger: Please attach or link a picture of a white tiger so we know you read the whole post! :)