Ready for a challenge?

Then Just Eat Takeaway.com might be the place for you. We’re a leading global online food delivery platform, and our vision is to empower everyday convenience. 

Whether it’s a Friday-night feast, a post-gym poke bowl, or grabbing some groceries, our tech platform connects tens of millions of customers with hundreds of thousands of restaurant, grocery and convenience partners across the globe.

About this role:

Join our Courier Pay Data Science team to help us lead, deliver, and care for our couriers and customers by building high-impact, real-time pricing solutions. 

In this role, you will develop algorithmic pay models that balance courier earnings fairness with marketplace efficiency, collaborating across product and engineering teams to deliver world-class dynamic pricing systems.

Location: Manitoba ( Remote)

Reporting to: Lead Data Scientist

These are some of the key ingredients to the role:

• Design and deploy real-time courier pay and boost algorithms that balance supply with delivery demand.
• Build constrained optimization and machine learning models to maximize spend efficiency and earnings fairness.
• Lead causal inference and experimentation frameworks, such as switchback and geo testing, to measure true incremental impact.
• Partner closely with Product and Tech to translate marketplace goals into scalable, low-latency production services.
• Monitor live model health, triage performance drift, and establish robust fail-safes for production systems.
• Mentor team peers through code reviews and technical guidance, fostering collaboration to help everyone succeed.

What will you bring to the table?

• Proven 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 environments.
• Practical knowledge of causal inference and marketplace experimentation, including A/B and switchback test designs.
• Commitment to acting responsibly by designing fair, transparent algorithmic incentives that build courier trust.
• Collaborative mindset with excellent communication skills, passionate about partnering cross-functionally and helping teammates excel.
• Enthusiasm for agentic AI development, with a proven ability to leverage AI agents to accelerate data analysis, coding, code reviews, and technical workflows.

Preferred Qualifications (Nice to have)

• Real-Time ML Systems: Experience deploying and maintaining models in low-latency, real-time streaming architectures (e.g., sub-second feature retrieval and serving).

• Domain Experience: Background in on-demand logistics, ride-hailing, food delivery marketplaces, or algorithmic revenue management.

• Big Data & Cloud Tooling: Familiarity with modern data stack tooling such as Kafka, Google BigQuery, AWS data stores (S3, DynamoDB, Kinesis), or modern ML tracking platforms.

• Spatial-Temporal Analytics: Hands-on experience working with GPS traces, spatial indexing (e.g., H3, S2), and time-series forecasting at fine geographic grains.

At JET, this is on the menu:

Our teams forge connections internally and work with some of the best-known brands on the planet, giving us truly international impact in a dynamic environment. 

Fun, fast-paced and supportive, the JET culture is about movement, growth and about celebrating every aspect of our JETers. Thanks to them we stay one step ahead of the competition.

Inclusion, Diversity & Belonging

No matter who you are, what you look like, who you love, or where you are from, you can find your place at Just Eat Takeaway.com. We’re committed to creating an inclusive culture, encouraging diversity of people and thinking, in which all employees feel they truly belong and can bring their most colorful selves to work every day. 

What else is cooking?

Want to know more about our JETers, culture or company? Have a look at our career site where you can find people's stories, blogs, podcasts and more JET morsels.

Are you ready to take your seat? Apply now!

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