Applied Scientist

About Wolt

At Wolt we create technology that brings joy simplicity and earnings to the neighborhoods of the 2014 we started with delivery of restaurant food. Now were building the delivery of (almost) everything and youll find us in over 500 cities in 30 countries around the 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe.

Working at Wolt isnt always easy but its definitely exciting. Here youll learn more build more and ship more than in most other companies. Youll be challenged a lot but also have a lot of fun on the way. So if youre a self-starter with drive and entrepreneurial spirit this could be the ride of your life.

Applied Scientists at Wolt work with AI and machine learning for the most important processes and parts of Wolts online delivery platform and business operations that affect all the 30 countries we operate in.

Our Applied Scientists are embedded in our product development teams. That helps to focus on a specific area together with a cross-functional team. Applied Scientists closely collaborate with Product Leads SoftwareEngineers Designers and Product Data Analysts.

As an Applied Scientist youll take ownership of use cases within a product development teamv - from identifying high-value opportunities to developing prototyping and deploying solutions and ensuring they continuously improve in production. We work with a range of technologies including Python SQL Snowflake and different MLOps tools and always strive to improve our tooling and ways of working to support rapid experimentation and innovation.

What youll be doing

Were seeking an Applied Scientist to join our cross-functional Inventory Routing and Replenishment team within the Merchant Group. The team works on developing tooling for our Merchants and Wolt Markets to efficiently manage their close collaboration with software engineers product managers designers and analysts youll develop algorithms and data-driven products such as demand forecasting and inventory optimization solutions that empower our Merchants to automate and optimize their retail inventory processes. Youll get to work with forecasting machine learning and statistical modeling to have a clear business impact in providing better customer experience by improving inventory availability and increasing procurement addition you will also work on developing insights for Merchants to help efficiently manage inventory.

Our humble expectations

Were looking for an Applied Science enthusiast who is passionate about using data science to make a measurable impact. Heres what we hope you bring:

• Passion for Applied Science: You identify as a problem solver who loves leveraging data science machine learning and AI to drive business results and create real-world impact.
• Expertise in Production-Ready ML Solutions: You know what it takes to build robust scalable models suitable for large-scale deployments. Youre comfortable managing the entire lifecycle of data science projects from ideation through to production and ongoing maintenance.
• Strong Foundations in ML and Statistics: You bring a solid educational background and practical skills in modeling and statistics enabling you to design reliable and meaningful solutions. You know how to deal with time-series data and produce reliable forecasts at scale. We value experience with Bayesian methods and optimization.
• Engineering Excellence: Youre skilled in writing production-level Python code and following engineering best practices ensuring your solutions are efficient maintainable and scalable. You have both read and written some SQL in your time and dont find it scary. You have the ability (or willingness to learn) to productionalize ML solutions with our ML tooling.
• Clear Communication: You can effectively communicate complex technical concepts to non-technical audiences bridging the gap between applied science and business needs.
• Analytical Problem-Solving: You excel at breaking down complex business challenges into clear solvable machine learning problems and designing data-driven solutions to address them. You understand that model metrics are most valuable when they are connected to business outcomes.
• Understanding of Experimental Design: You have a good grasp of experimental methodologies and analysis allowing you to support experimentation and validation of the impact of your work.
• Experience in procurement and supply-chain optimization: We will value knowledge of procurement and inventory management processes especially in fresh items and retail domains.

If youre driven to make an impact through innovative machine learning solutions wed love to see how you can help us push boundaries!

What we offer

This role gives you the chance to work on real practical problems that directly impact how merchants manage their inventory every day. Your forecasting and optimization models wont stay theoretical theyll be turned into tools used at scale improving availability and efficiency across the platform.

Youll work closely with engineers product managers and analysts with real ownership from idea to production. If youre looking to apply machine learning and statistical modeling in a way that drives clear business impact this is a role where your work will truly matter.

Our Commitment to Diversity and Inclusion

Were committed to growing and empowering a more inclusive community within our company industry and cities. Thats why we hire and cultivate diverse teams of people from all backgrounds experiences and perspectives. We believe that true innovation happens when everyone has room at the table and the tools resources and opportunity to excel.