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optimization sql python machine learning segmentationπ Description
- Own end-to-end analytical and modeling strategy for transfers.
- Lead investigations across large datasets to uncover operational failures.
- Build scalable data products and analytics to drive improvements.
- Partner with Product, CXO, Operations, and Data teams.
- Mentor senior data scientists and raise analytical standards.
- Own a critical business domain and drive impact at scale.
π― Requirements
- 7-10+ years in data science or analytics; 3-5 years in staff roles.
- Strong background with complex operational systems (transfers, payments, risk).
- Expert SQL with joins, window functions, and optimization.
- Excellent Python for analysis, modeling, and production workflows.
- Hands-on ML and operations research techniques (optimization, segmentation).
- Strong communication; ability to present complex results to non-technical stakeholders.
π Benefits
- Competitive salary and top-tier benefits (health and life insurance).
- Long-term savings with employer match via Wealthsimple for Business.
- 20 vacation days + 4 wellness days per year; unlimited sick and mental health days.
- 90 days away program: work outside Canada up to 90 days/year.
- Remote-first team across North America with 1,500+ employees.
- Access to Employee Resource Groups (ERGs) and culture initiatives.
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