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Senior Data Scientist (Crypto)

Wealthsimple

full-remoteseniorpermanentdata Full remote 109 days ago via WTTJ

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Tags

Data ScienceSQLPythonExperimentationCausal InferenceProduct AnalyticsFintechCryptoProduct Thinkingdbt

About the role

Role Overview

Join Wealthsimple as a Senior Data Scientist on the Crypto team. You’ll use product thinking and analytical rigor to support high-quality business decisions and improve customer experience, growth, retention, and operational efficiency through data. This role is not a data/ML engineering position.

Key Responsibilities

  • Partner cross-functionally (Product, Engineering, Design, Operations) to shape product strategy, prioritization, and decision-making.
  • Build metrics, data models, and analytical frameworks to better understand customer behavior and business performance.
  • Proactively identify and communicate trends, risks, and opportunities to focus the team on highest-impact work.

Requirements

  • Strong analytical and problem-solving skills using SQL and Python.
  • Familiarity with experimentation and causal inference methods.
  • 5+ years experience in data science, product analytics, experimentation, or a related field.
  • Knowledge of fintech, investing, or crypto products.
  • Ability to influence product/business decisions through data and clear communication.
  • Strong product thinking and ability to connect customer behavior to business outcomes.
  • Comfortable working cross-functionally and building strong relationships.
  • Thoughtful communication across different audiences; ability to work through ambiguity and create clarity.

Nice-to-Haves

  • Experience using AI tools to improve analysis and decision-making workflows.
  • Exposure to dbt or modern data modeling tooling.

About Wealthsimple

Wealthsimple is a leading fintech company focused on improving clients’ financial lives. The Crypto team builds and shapes the company’s crypto experience, working closely with Product, Engineering, Design, and Operations to drive customer outcomes using data.

Scraped 6/11/2026