Our Applied Scientists at Wolt build and deploy applied science and machine learning solutions to address a wide variety of challenging business problems. Utilizing a spectrum of methodologies including statistical analysis, machine learning, deep learning and operations research, they improve critical processes within Wolt's online delivery platform and business operations. Their contributions significantly impact all 28 countries in which we operate.

The work consists of owning applied science use cases as part of a product development team; starting from identifying opportunities, to developing and prototyping a solution, all the way to supporting its deployment, monitoring, and improving it in production. We use a variety of technologies and tools including Python, SQL, Snowflake, Flyte, MLflow and Seldon Core to get the job done, and are constantly looking for ways to improve how our applied scientists work.

We are looking for an Applied Scientist specialized in Operations Research to be embedded into our cross-functional Logistics Assignments team. Together with other operations researchers, software engineers, and product, design and analytics people, you would develop algorithms and solutions for efficiently assigning tasks to our Courier Partners. Our task assignments engine is at the core of our logistics system. This is a unique opportunity to work on challenging operation research problems, at a high scale. You will have great potential to make a significant impact by tackling complex problems and building new solutions to improve the efficiency of our logistics operations and hence our business.

📍This role can be based in one of our tech hubs in Helsinki, Berlin, or Stockholm.

Our humble expectations

• You have demonstrable experience in Operations Research and production-level Applied Science projects — from prototyping to deploying, maintaining and improving production deployed solutions (i.e. ability and interest to handle a use case end-to-end);

• You have a deep understanding of Operations Research and a solid understanding of statistics. 

• Proven ability to tackle highly complex domains, break them down into solvable problems and develop novel solutions to them. You can fluently discuss technical concepts and matters with non-technical stakeholders;

• Preferable experience with logistics domains, great if you have worked on projects within optimization and operational research fields

• Knowledge of experimental design and analysis, such as A/B testing;

• You have solid engineering skills and code fluently in Python, which is our main language for applied science projects, and experience querying databases (SQL). Experience with C++ is a plus. You value good software engineering practices, understand MLOps, and take pride in the quality of your code and the performance of your solutions;

• Ideally, you’ll also have a degree in a field relevant to Operations Research or Applied Science;

• You’re an analytical, curious, business-oriented and proactive problem solver. We’re looking for a self-starter with a drive to get things done. Also as well a good communicator, willing to collaborate with people inside and outside of the team.

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 in the next two weeks or so

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 ([email protected]).