
Senior Data Scientist
Posted 1 day ago

Posted 1 day ago
This is a fully remote position, open to applicants in Canada.
• Design and implement real-time algorithms for courier compensation and incentives, effectively aligning supply with delivery demand.
• Develop constrained optimization and machine learning models aimed at enhancing spending efficiency and ensuring fair earnings.
• Lead frameworks for causal inference and experimentation, including switchback and geographical testing methodologies.
• Collaborate with Product and Tech teams to transform marketplace objectives into scalable, low-latency production services.
• Oversee the health of live models, address performance drift, and establish fail-safes for production environments.
• Provide mentorship to colleagues through code reviews and offering technical guidance.
• Create impactful real-time pricing solutions for both couriers and customers.
• Demonstrated hands-on experience in developing machine learning models, dynamic pricing algorithms, or constrained optimization systems.
• Strong expertise in Python and SQL programming languages.
• Experience in deploying reliable models within production settings.
• Practical understanding of causal inference and marketplace experimentation, including A/B and switchback testing methodologies.
• A commitment to designing algorithmic incentives that are fair and transparent.
• Exceptional communication skills and the ability to collaborate across functions.
• Capability to utilize AI agents to expedite data analysis, coding, code reviews, and technical processes.
• Preferred: experience in deploying and maintaining models within low-latency, real-time streaming architectures.
• Preferred: background in on-demand logistics, ride-hailing, food delivery marketplaces, or algorithmic revenue management.
• Preferred: familiarity with technologies such as Kafka, Google BigQuery, AWS S3, DynamoDB, Kinesis, or contemporary ML tracking platforms.
• Preferred: experience with GPS data, spatial indexing methodologies like H3 or S2, and detailed time-series forecasting.
• Enjoy a fun, fast-paced, and supportive work culture.
• Be part of an inclusive environment that emphasizes diversity and belonging.
• Gain opportunities for professional growth.
• Contribute to international initiatives and collaborate with renowned global brands.
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