Senior Data Scientist, Search

  • Full-time
  • Department: Engineering

Company Description

Wolt is a Helsinki-based technology company that provides an online platform for consumers, merchants and couriers. It connects people looking to order food and other goods with people interested in selling and delivering them. To enable this, Wolt develops a wide range of technologies from local logistics to retail software and financial solutions – as well as operating its own grocery stores under the Wolt Market brand. Wolt’s products include Wolt+ (subscription service for customers), Wolt for Work (meal benefits and office deliveries for companies), Wolt Drive (fast last-mile deliveries for merchants) and Wolt Self-Delivery (service for merchant partners with their own delivery staff). Wolt’s mission is to make cities better by empowering and growing local communities. Wolt was founded in 2014 and joined forces with DoorDash in 2022. DoorDash operates in 29 countries today, 25 of which are with the Wolt product and brand.

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 40  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.

#LI-FP1

Job Description

Data Scientists at Wolt build and deploy models using a variety of approaches including statistical analysis, machine learning and deep learning for the most important processes and parts of Wolt’s online delivery platform and business operations that affect all the 25 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 Consumer Search team, to work together with engineers, product, design and analytics people, on developing algorithms and solutions for improving our search experience. Some of our models include query understanding, query completion and expansion, results blender and results ranking. The team owns the domain end to end, from developing approaches to testing and understanding their impact and deploying and maintaining them under strict performance requirements.The team uses an iterative and pragmatic development approach, A/B testing our solutions and measuring the performance of our models both offline and online. This is a great opportunity to leave your mark in the experience that we provide to more than 29M customers with a direct impact in our business KPIs.

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. 💡

📍This role can be based in one of our tech hubs in Helsinki, Berlin or Stockholm, or you can work remotely anywhere in Finland, Sweden, Germany, Denmark, and Estonia. Read more about our remote setup here. If you live outside of these countries - not to worry! We provide relocation support to help you make your way to Finland, Germany or Sweden.

Qualifications

  • Interest and past experience in search engines (both in natural language retrieval and ranking), recommendation systems and/or personalization;
  • 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;
  • Knowledge of experimental design and analysis, such 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 value good software engineering practices and take pride in the quality of your code;
  • 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.

Additional Information

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!

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 Prado ([email protected]).

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