Senior Data Scientist

Location: Remote in Manitoba, Canada

Company

hirify.global is a global online food delivery platform connecting customers with restaurant, grocery, and convenience partners.

What you will do

• Design and deploy real-time courier pay and boost algorithms that balance delivery supply and demand.
• Build constrained optimization and machine learning models to improve spend efficiency and earnings fairness.
• Lead causal inference and experimentation frameworks, including switchback and geo testing, to measure incremental impact.
• Partner with Product and Tech to deliver scalable, low-latency production services.
• Monitor model health, investigate performance drift, and establish production fail-safes.
• Support team development through code reviews, technical guidance, and mentoring.

Requirements

• Hands-on experience developing machine learning models, dynamic pricing algorithms, or constrained optimization systems.
• Strong proficiency in Python and SQL, with experience shipping reliable models into production.
• Practical knowledge of causal inference and marketplace experimentation, including A/B and switchback test designs.
• Ability to design fair and transparent algorithmic incentives that build courier trust.
• Collaborative communication skills and experience partnering cross-functionally.
• Ability to use AI agents to accelerate data analysis, coding, code reviews, and technical workflows.

Nice to have

• Experience deploying and maintaining models in low-latency, real-time streaming architectures, including sub-second feature retrieval and serving.
• Experience in on-demand logistics, ride-hailing, food delivery marketplaces, or algorithmic revenue management.
• Familiarity with Kafka, Google BigQuery, AWS data stores such as S3, DynamoDB, and Kinesis, or modern ML tracking platforms.
• Experience with GPS traces, spatial indexing such as H3 or S2, and fine-grained time-series forecasting.

Culture & Benefits

• Work remotely from Manitoba, Canada.
• Collaborate across international teams and with well-known global brands.
• Work in a fast-paced, supportive environment focused on movement, growth, inclusion, diversity, and belonging.