Principal Data Scientist

What you'll do

• Partner with product, marketing, finance, and ML leaders to frame business questions and guide decisions.
• Design and interpret experiments and causal analyses; establish metrics and measurement strategies.
• Build and own reusable tools such as forecasting, spend allocation, incrementality, and attribution models.

What they ask for

• 8+ years of experience in data science or quantitative roles directly affecting product or business strategy.
• Demonstrated mastery of experimental design and A/B testing, plus deep statistical expertise including causal inference.
• Strong coding experience in Python or equivalent, with ability to build organizationally leveraged tools.
• Track record of translating data into business decisions with non-technical stakeholders; exposure to ML applications and effective collaboration with ML/data science teams.

Nice to have

• Experience in forecasting, spend allocation optimization, marketing incrementality, or attribution.
• Familiarity with personalization, recommendation systems, or matching algorithms.

Pay

$195,300 — $270,400 USD (base salary); $182,800 — $230,000 CAD (base salary)

Tools

Python

AI focus

Partner with the ML organization on technical challenges, applying statistical rigor and causal reasoning; role also requires exposure to ML applications.