Innovate with Machine Learning to Enhance Wolt's 70 Million Product Data Items

Our Applied Scientists at Wolt design and deploy machine learning and applied science solutions that tackle some of our most complex business challenges. By leveraging advanced techniques like statistical analysis, machine learning, deep learning, and operations research, they enhance key processes across Wolt's platform and business operations, creating measurable impact in all 28 countries where we operate.

As an Applied Scientist, you’ll take ownership of use cases within a product development team—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, Flyte, MLflow, and Seldon Core, and always strive to optimize our workflows to support rapid experimentation and innovation.

We're seeking an Applied Scientist to join our cross-functional Merchant Product Data team within the Merchant Group. In collaboration with data engineers, product managers, designers, and analysts, you'll develop algorithms and data-driven solutions to enhance our extensive product data. This includes refining the accuracy, completeness, and structure of over 70 million product listings—encompassing item names, descriptions, categories, and attributes. You'll build machine learning and generative AI models to deliver high-quality, well-classified product data, empowering Wolt merchants and improving search, discovery, and other key use cases.

📍This role can be based in one of our tech hubs in Helsinki, Berlin or Stockholm, or you can work remotely anywhere in Finland, Sweden or Germany.  Read more about our remote setup here. 

We’re looking for an Applied Science enthusiast who is passionate about using data science to make a measurable impact. Here’s what we hope you bring:

• Passion for Applied Science: You identify as a problem solver who loves leveraging data science and machine learning 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. You’re comfortable managing the entire lifecycle of data science projects, from ideation through to production and ongoing maintenance.

• Strong Foundations in ML, Statistics, and NLP: You bring a solid educational background and practical skills in machine learning, statistics, and NLP, enabling you to design reliable and meaningful solutions. Working experience with generative AI solutions is a big plus.

• Engineering Excellence: You’re skilled in writing production-level code and following engineering best practices, ensuring your solutions are efficient, maintainable, and scalable.

• Clear Communication: You can effectively communicate complex technical concepts to non-technical audiences, bridging the gap between data 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.

If you’re driven to make an impact through innovative machine learning solutions, we’d love to see how you can help us push boundaries!

The position will be filled as soon as we find the right person, so make sure to apply as soon as you realize you really, really want to join us! We will review your application soon, and you can expect feedback within two weeks.

The compensation will be a negotiable combination of monthly pay and DoorDash RSUs. The latter makes it exceptionally easy to be excited about our company growing and doing well, as you’ll own a piece of the pie.

For any further questions about the position, you can turn to Product+ Talent Acquisition Partner - Fernanda (fernanda.prado.e.silva@wolt.com).