Lead Data Scientist

📋 Description

• Conduct deep investigations into revenue-generating options and the data behind them, and use them
• Design, build, deploy, and operate production ML systems, from batch inference to online services
• Partner with Product, Mobile Engineering, Cloud Engineering, Data Engineering, and MLOps to
• Set up monitoring for new ML-based features so their performance and business impact are measured.
• Implement lineage tracking for data, code, and model artifacts to keep the ML lifecycle compliant
• Improve the data ecosystem with Data Engineering, including the pipelines that feed experimentation

🎯 Requirements

• Advanced degree in a field that relies on sophisticated statistical analysis or equivalent industry
• 6+ years of experience scoping, building, and analyzing ML-powered systems, including models you
• Significant experience with Python and scikit-learn, PySpark, and causal inference programming
• Technical training and professional experience applying modern causal inference and causal analysis
• Significant experience working with found data, guiding instrumentation to generate new data, and
• Hands-on experience setting up experiments in the consumer technology space, including experiment

🎁 Benefits

• Medical, dental, vision, life and disability insurance plans (100% paid for US employees). We offer
• 401(k) plan with company matching program in the US and RRSP with DPSP plan for Canadian employees.
• Paid parental leave.
• Mental Wellness Program & Employee Assistance Program (EAP) for mental well-being.
• Generous time off: flexible PTO, companywide holidays throughout the year plus summer and winter
• Learning & Development programs.