The Bit About Urbantz
At Urbantz, we help the world’s largest retail, grocery, e-commerce and logistics companies love their last mile with a smarter, greener approach to delivery management. Our SaaS platform was built specifically for enterprises to help them cut through the complexity of multi-fleet operations and drive greater sustainability in the final mile at any scale.
More than 100 brands enjoy the clarity and control to cut their CO2 emissions, allocate smartly across carriers, build unique workflows and ensure on-brand delivery experiences for recipients with Urbantz.
Since our inception in 2015, we’ve enjoyed phenomenal growth across Europe, the Middle East and beyond. In 2020, Deloitte ranked us third in its annual Technology Fast 50 list.
The Challenge
Orchestrating the delivery of thousands and thousands of packages daily is no small feat. It gets even more interesting if you ship from multiple locations, time-slot restrictions, zero-emission zones, and a mixed fleet of bicycles, electric and carbon fuelled vehicles ...
Our customers count on us not only to keep track of their deliveries but also to deliver them in the most optimal way.
As a Data Scientist, you'll mine through data and build algorithms that help our customers to operate efficient and sustainable last-mile operations.
The Day-to-Day
- Together with the product management team, you identify opportunities to improve our customer's last-mile operations.
- You mine route planning and tracking data, research algorithms, and design new models.
- Together with the software engineering teams, you implement end-to-end solutions and launch them in production.
- You develop mechanisms to assess the performance of models and algorithms both offline, using historical data or simulations, and online in production environments.
The Must Haves
- Master's degree in Computer Science, Applied Mathematics, Statistics or Machine Learning.
- At least three years of experience in a similar role.
- A positive mindset and like to find ways to constantly improve in what you do.
- You can build a plan to iteratively deliver larger initiatives and organise the work to be done.
- Expertise in data mining tools and programming languages such as SQL and Python.
- Hands-on experience in building and deploying Machine Learning models.
- Proficient in English.
The Great to Haves
- PhD in Machine Learning or Operational Research.
- You have prior experience or interest in solving complex mathematical problems in Supply Chain or similar domain.
- Previous experience in Network Simulation (Discrete Event Simulation) or Optimization is desirable but not mandatory.
The Perks
- Work where you choose: our fancy offices in the center of Brussels, your spare bedroom, a cabin in the woods… you decide.
- Autonomy to define and navigate your own path to success.
- A competitive salary, the right tools and a range of fringe benefits depending on your country location.
- An incredibly diverse international team and a company culture that encourages freedom, creativity and collaboration.
- Opportunities to grow your expertise through training, workshops and conferences.
- Team meetups in Brussels, an annual offsite somewhere sunny.
