Staff Data Scientist, Selection Analytics
Quick Summary
About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world.
At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe.
Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life.
We are looking for a Staff Data Scientist to join Wolt’s mission in Finland, Sweden, or Germany!
About the Role
~1 min readThe Selection Analytics Team at Wolt owns the data and infrastructure that helps all 32 of our country teams build a portfolio of high-quality restaurant and retail stores. Our overarching mission is to provide customers with the best selection by enabling sales teams across all markets to acquire the best merchants.
To do this, we work directly with country sales teams to help them identify and prioritize the highest potential merchant candidates. We also work with Wolt leadership by providing metrics to track selection quality, upon which they develop strategic initiatives and goals. This is a lean and mighty team that owns and operates the engine for merchant acquisition globally.
Responsibilities
~1 min readAs a senior member of the Selection Analytics team, your role involves leveling up our approach to identifying and prioritizing better merchants. You’ll achieve this by:
- →Developing and deploying production-level ML models
- →Crafting metrics to unlock deeper insights into merchant selection quality for all markets
- →Conducting experiments to understand the impact of selection on specific markets
- →Work on self-serve tooling to track these insights.
This is also a rare, high-exposure experience where you will then use your findings to work directly with country leadership to help them uncover growth opportunities. When you join this team, you will be driving action from the frontlines, rather than just crunching numbers and creating dashboards.
- 3-5 years of experience in data science, consulting, or a related quantitative role
- Fluent in Python & SQL
- Strong exploratory data analysis skills, willingness to look under the hood
- Exposure to experimental design (A/B testing) and key statistical methods
- Experience in feature engineering, model design, evaluation, diagnostics, and monitoring
- Knowledge of MLOps concepts and tools (e.g. MLflow, Flyte)
- Determination to initiate and lead/own strategic projects to completion with a cross-functional team
- Innate curiosity to understand how things work and a first-principles approach to problem solving
What We Offer
~1 min readThe 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!
For any further questions about the position, you can turn to the Product+ Talent Acquisition Partner - Zhanna Filintseva (zhanna.filintseva@wolt.com)
We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.
Location & Eligibility
Listing Details
- Posted
- May 7, 2026
- First seen
- May 7, 2026
- Last seen
- May 8, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 67%
- Scored at
- May 7, 2026
Signal breakdown
We’re a tech company from Finland best known for our delivery platform.
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