Position: Mid-Senior level

Job type: Full-time

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Job content

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 ing, maintaining, and improving a production-ready solution inside of the embedded product team. We use a variety of technologies and tools including , , Spark, Docker and K8s,, , Flyte, Seldon Core, , MLflow, Kafka, Jenkins, and 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:

  • ways for forecasting demand, and optimizing our Wolt Market operations
  • approaches to forecast and influence supply (courier availability) and demand (orders) through different actions
  • approaches to improve and personalize how customers engage with and find our content (e.g. restaurants and retail items)

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 ing 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, , 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 , which is our main language for data science projects, and experience with databases ()
  • 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. ????

Next Steps

Once we get your application, we can further discuss how to match your ambition with the different roles we’re having in the Data Science team.

About Wolt

Wolt is a technology company that makes it incredibly easy to discover and get the best restaurants, grocery stores and other local shops delivered to your home or office. Wolt is not just a delivery app – we’re a technology company building a global logistics platform to seamlessly connect our millions of customers with thousands of merchant and courier partners, in real-time across 23 countries and 250+ cities. Our apps (iOS and Android) have the industry’s highest ratings, largely thanks to our customer-first-mindset, which shows in how we build products and run operations. In November 2021 Wolt and DoorDash announced we’re joining forces, and the transaction is expected to close in H1 2022.

Working in Product Development at Wolt

At Wolt, we’re about getting things done. You’ll probably enjoy it here if you like taking ownership, developing yourself and being around friendly, humble and ambitious people.

The behind the scenes of Wolt is run by an awesome bunch of over 400+ planners, builders, designers and data crunchers. We call ourselves Product+, as we’re the very core of Wolt’s products, tools and platforms. To build our products, we work in over 37 cross-functional, independent and autonomous teams. Teams are made up of a mix of talented individuals: engineers, designers, data scientists, analysts, and product leads. Each team takes ownership for solving customer problems in the best possible way.

Our Commitment to Diversity, Equity & Inclusion

We want to have all sorts of people in our team – people like you and me, and people different from you and me. To be able to work with diverse teammates – when it comes to gender, age, ethnicity, life background, sexual orientation, political views, religion, or any other personal trait – we consciously aim to offer equal opportunity for everyone to work with us. This is because we believe diverse teams make the most thought-through decisions and build things in the most inclusive way.

Join us today to build Wolt together!

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Deadline: 06-12-2024

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