Senior Data Scientist

. Design and deploy real-time courier pay and boost algorithms balancing supply with delivery demand .

Posted 10/15/2026full-timeRemote • CanadaSeniorWebsite

Tools & technologies

AWSBigQueryDynamoDBKafkaPythonSQL

Key responsibilities & impact

Design and deploy real-time courier pay and boost algorithms balancing supply with delivery demand
Build constrained optimization and machine learning models to maximize spend efficiency and earnings fairness
Lead causal inference and experimentation frameworks, including switchback and geo testing
Partner with Product and Tech to translate marketplace goals into scalable, low-latency production services
Monitor live model health, triage performance drift, and establish production fail-safes
Mentor team peers through code reviews and technical guidance

What you’ll need

Proven hands-on experience developing machine learning models, dynamic pricing algorithms, or constrained optimization systems
Strong proficiency in Python and SQL
Experience shipping reliable models into production environments
Practical knowledge of causal inference and marketplace experimentation, including A/B and switchback test designs
Commitment to designing fair and transparent algorithmic incentives
Excellent communication and cross-functional collaboration skills
Proven ability to leverage AI agents for data analysis, coding, code reviews, and technical workflows
Experience deploying and maintaining low-latency, real-time streaming ML systems (preferred)
Background in on-demand logistics, ride-hailing, food delivery marketplaces, or algorithmic revenue management (preferred)
Familiarity with Kafka, Google BigQuery, AWS S3, DynamoDB, Kinesis, or modern ML tracking platforms (preferred)
Experience with GPS traces, spatial indexing such as H3 or S2, and fine-grained time-series forecasting (preferred)

Comp & perks