Data Scientists at Wolt are working with machine learning for the most important processes and parts of Wolt’s online delivery platform and business operations that affect all the 23 countries we operate in. The work consists of owning machine learning use cases as part of a product or business team; starting from identifying opportunities, to developing and prototyping a solution, all the way to deploying, maintaining, and improving a production-ready solution inside of the embedded product team. We use a variety of technologies and tools including Python, SQL, Spark, Docker and K8s, Snowflake, Looker, Flyte, Seldon Core, Airflow, MLflow and Kafka to get the job done, and constantly looking for ways to improve how our data scientists work. 💪💪

We are looking for a data scientist to be embedded into our cross-functional Logistics Optimization team, working together with engineers, optimization algorithm developers, product and analytics people, on different problems related to our logistics operations. The team owns several key components to Wolt’s operations, e.g. the route optimizer and the delivery time estimates. The logistics platform connects couriers to tasks through our in-house route optimization service, which in turn relies on the delivery estimates that we generate for each step of the delivery process. All the different parts of the system come together to automatically manage customer expectations and delivery efficiency. The team also develops approaches for understanding and estimating the operational and business impact of different improvements.

Also, to learn more about Wolt, be sure to check out Machine learning at Wolt - our journey towards MLOps, our Wolt Algorithmic Transparency Report, and Wolt Tech Talks. 💡

• You have plenty of hands-on experience with production-level data science projects — from prototyping to deploying and maintaining and improving production-ready solutions (i.e. ability and interest to handle a use case end to end).
• You have a deep understanding and experience with machine learning, and a solid understanding of statistics. It helps if you know about operations research and optimization too.
• Interest in the logistics domain, prior experience a plus
• You’ve got knowledge of experimental design and analysis, such as A/B testing and/or switchback experiments
• You’ll have fluent programming skills in Python, which is our main language for data science projects, and experience with databases (SQL). You value good software engineering practices and take pride in the quality of your code.
• You’re comfortable with a long enough list of buzzw… tools and technologies to be effective in your role. Some of the technologies we work with are mentioned in the beginning of this ad.
• Ideally, you’ll also have a degree in a field relevant to data science
• You’re analytical and curious, 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 in- and outside of the team

Our offering to you  

• Small yet growing data science team around you so there will be plenty of opportunities for you to grow as a Data Scientist.
• You can choose the location from our tech hubs Helsinki or Berlin, or you can work entirely remotely anywhere in Finland, Germany, Sweden, Denmark and Estonia. You have the chance to decide the ways of working —· a hybrid, at the office, or remote within the location above. 💙 Read more about our remote setup. 

At Wolt, you’ll get to work in a company culture where we take ownership beyond the obvious, do common things uncommonly well, we think big but stay humble, do right by people, we treat others kindly and justly, recognise that if we don’t learn, we won’t stay still but fall behind and keep in mind that Luke was Yoda’s greatest achievement. Read more about how we work. 🤩

The position will be filled as soon as we find the right person, so make sure to apply as soon as you realise you really, really want to join us!

If you want to check up on your application or have any further questions about the position, you can turn to our Talent Acquisition Partner / Analytics, Marco Ohde at any given time.