Data Scientist, Wolt Ads
About this 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.
Responsibilities
- 3+ years of experience in a Data Analyst or Data Scientist position.
- Expertise in statistical analysis, including hypothesis testing (A/B testing), experimentation using statistical software packages in Python, R, or equivalent.
- Proficiency in writing structured and efficient SQL queries for large data sets.
- Experience building intuitive data visualizations and dashboards that influence business decisions, utilizing tools like Tableau, Mixpanel, Looker, or similar.
Requirements
- 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 interesting company to practice analytics!
- You can choose the location from our tech hubs in Helsinki or Stockholm, or you can work entirely remotely anywhere in Finland or Sweden. You have the chance to decide the ways of working: hybrid, at the office, or remote within the location above. 💙
- 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.
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. About Consumer Analytics at Wolt As the name Consumer Analytics implies, this team aims to provide reliable data insights that drive informed decision-making, empower Wolt's product organisation, and foster a data-driven culture through collaboration and education, ultimately inspiring teams and building value for the Consumer group. Within Consumer Analytics, there are several domains, including WoltAds. About the WoltAds Domain The WoltAds team is a team that owns the end-to-end experience of advertising at Wolt. They build tools for merchants and brands that can offer visibility and increased performance. Their long-term goal is to create a unified Wolt + DoorDash advertising platform that will benefit both global and local clients. What you’ll be doing As a Data Scientist at Wolt, your role involves diving into our data to solve crucial business problems. The scope of this role ranges from diagnosing problem areas to identifying solutions to designing experiments and ultimately influencing decision-making. This is a rare, operational, and actionable data-driven experience. When you join this team, you will be driving action from the frontlines, rather than just doing yet another analytics role. If you enjoy finding patterns amidst chaos, are excited to build from 0 to 1, and have experience using analytics to affect AdTech, we're looking for someone like you. Our humble expectations 3+ years of experience in a Data Analyst or Data Scientist position. Expertise in statistical analysis, including hypothesis testing (A/B testing), experimentation using statistical software packages in Python, R, or equivalent. Proficiency in writing structured and efficient SQL queries for large data sets. Experience building intuitive data visualizations and dashboards that influence business decisions, utilizing tools like Tableau, Mixpanel, Looker, or similar.