Staff Data Scientist, Selection Analytics
Wolt - English
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Compensation
Salary & market context
Salary not listed
Requirements
Top requirements
- Our humble expectations 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.
Perks & setup
Benefits candidates care about
- The online delivery platform that Wolt is building will offer you interesting and complex challenges together with the 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 a challenging and so interesting company to practice analytics.
- You can work onsite at our offices in Helsinki, Stockholm, or Berlin. Alternatively, you can work remotely anywhere in Finland, Sweden, or Germany. You have the chance to decide the ways of working โ a hybrid, at the office, or remote, within the location above. ๐
- 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, recognize 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.
- Next steps
Why candidates care
Benefits & perks
- The online delivery platform that Wolt is building will offer you interesting and complex challenges together with the 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 a challenging and so interesting company to practice analytics.
- You can work onsite at our offices in Helsinki, Stockholm, or Berlin. Alternatively, you can work remotely anywhere in Finland, Sweden, or Germany. You have the chance to decide the ways of working โ a hybrid, at the office, or remote, within the location above. ๐
- 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, recognize 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.
- Next steps
- 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!
- For any further questions about the position, you can turn to the Product+ Talent Acquisition Partner - Zhanna Filintseva -----
- Our Commitment to Diversity and Inclusion
- 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.
Start here
Requirements
- Our humble expectations 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.
Responsibilities
What you'll do
- Now we're building the delivery of (almost) everything and you'll find us in over 500 cities in 30 countries around the world.
- 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.
- About the role The 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.
- What you'll be doing As 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.
Role snapshot
About the role
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. 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 !
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