Hey, you look like you might be our new Senior Data Scientist
Analytics & Data Science
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, AWS, Flyte, Seldon Core, Airflow, MLflow, Kafka, Jenkins, and Looker to get the job done, and constantly looking for ways to improve how our data scientists work. 💪💪
As a Data Scientist, you’ll be embedded in one of our product/ business teams and focus on and own that specific area together with a cross-functional product team. You’ll closely collaborate with Product Leads, Engineers, Designers, and fellow Data Scientists and Product Data Analysts. Some examples of areas with coming openings are forecasting & optimization, recommendations & personalization, pricing, operations & logistics. These teams for example develop:
- different time estimate models used throughout the delivery process, such as ETAs
- approaches to forecast and influence supply (courier availability) and demand (orders)
- approaches to personalise and improve how customers engage with and find our content (e.g. restaurants, stores and retail items)
- models and solutions needed to personalise the search experience
- machine learning models for managing advertisements, e.g. conversion prediction for content
Also, be sure to check out Machine learning at Wolt - our journey towards MLOps, our Wolt Algorithmic Transparency Report, and Wolt Tech Talks to learn more. 💡
Our humble expectations
- 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 solid understanding of statistics. Depending on the team and role, we’ll value experience with computer vision, deep learning, reinforcement learning, NLP, Bayesian methods, and other approaches relevant to the problem domain.
- You’ve got knowledge of experimental design and analysis, as well as A/B testing
- You’ll have fluent programming skills in Python, which is our main language for data science projects, and experience with databases (SQL)
- 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, Sweden 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.
- In addition to our country-specific benefits, our compensation package includes a monthly salary based on your expertise and stock options. . 🚀
- 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.