For an online delivery platform like Wolt data science is a big opportunity. Our business has grown to a level (and keeps growing) where machine learning models for user acquisition, demand prediction, delivery time prediction, dynamic pricing, etc. can have a big impact. A more effective delivery platform will benefit everyone in our ecosystem: courier partners, merchants and consumers. We're looking for an experienced Data Scientist to join our competence team of 15+ data science and analytics professionals in Helsinki or Berlin.
Data Scientists at Wolt are working with machine learning for the most important processes and parts of Wolt’s online delivery platform. The work consists of owning machine learning components as part of a product team; starting from prototyping all the way to maintaining and improving a production ready solution. We are using a variety of technologies and tools, e.g. Python, SQL, Spark, Snowflake, AWS, Looker, Airflow, MLflow, Kafka, Jenkins, and Grafana to get the job done.
You would focus on helping our Content & Personalisation team, responsible for “Your Wolt” -experience by research and developing methods and machine learning models for selecting and presenting the most relevant content to the customers based on their personal preferences at any given time, at any given place. Your work is directly impacting our recommendation models that define how we show content to over 10M+ people on our pages across 129+ cities we operate in. You would be working on our customer data, analyzing customer profiles and behaviour to further develop personalization methods and measure their impact. On a daily basis, you would closely collaborate with product leads, engineers, designers and fellow data scientists. We have recently expanded to retail so there are plenty of interesting opportunities coming from the content & personalization aspect.
The teams are based in Helsinki HQ (working remotely at the moment) but welcome new members to the Helsinki HQ or Berlin, Germany. Note that we don't have relocation support for other locations than Finland at the time, so we hope you are based in Berlin when applying for remote role.
- Plenty of hands-on experience with production level data science projects
- Deep understanding and experience with machine learning and solid understanding of statistics
- Interest and familiarity with personalization, recommenders, search and ranking problems
- Knowledge of experimental design and analysis, and A/B testing
- Experience with domains such as probabilistic modeling, constrained optimisation and causal inference
- Fluent programming skills in Python, which is our main language for data science projects and experience with databases (SQL)
- Analytical and curious thinking
- Interest to contribute towards our Data Science team
If you have been working in the area of computer vision before and with technologies such as Scala, Spark and / or Pytorch it would be a huge plus for you.
Our offering to you
You will be part of a team, who identify themselves as Data Scientists, Data Analysts, and Business Intelligence Analysts. This means you will get a lot of peer support and sparring on your way growing as a data professional.
The online delivery platform that Wolt is building will offer you interesting and complex challenges but also opportunities to create a big impact with your skills. Lots of geolocational and temporal data in real-time combined with differences in the economics and dynamics of the cities we operate in make Wolt both challenging and oh so interesting company to practice analytics and data science.
You would 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 fit, so make sure to apply as soon as possible!
The compensation will be a negotiable combination of monthly pay and Wolt stock options. The latter make it exceptionally easy to be excited about our company growing and doing well, as you'll own a piece of the pie.
If you want to check up on your application or have any further questions about the position you can turn to Talent Acquisition Partner, Jenni Kivikoski, at email@example.com at any given time.