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(Senior) Data Scientist (Analytics), Consumer Loyalty, Wolt+

Analytics & Data Science

Stockholm, Sweden · Helsinki, Finland · Berlin, Germany

Full-time

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About the Consumer Loyalty Analytics at Wolt

At Wolt, we are committed to creating a seamless and rewarding experience for our customers. The Consumer Loyalty Analytics team plays a key role in driving initiatives that foster user engagement, retention, and long-term loyalty.

Our mission is to provide data-driven insights and solutions that enhance three core loyalty programs:

  • Wolt+ – Our premium subscription program that offers free delivery and many other exclusive benefits to members.

  • Rewards – A points-based program where users can earn points by making purchases and completing challenges, unlocking exciting rewards.

  • Promotions – Strategic promotional campaigns designed to boost user engagement and drive repeat purchases.

Our new (Senior) Data Scientist will support Wolt+ as a part of our Consumer Loyalty Analytics team.

About the Wolt+ Domain

Wolt+ is our premium subscription program designed to enhance the convenience and value of the Wolt experience. By offering free delivery and exclusive perks, Wolt+ encourages frequent and loyal usage across our platform.

The Wolt+ domain focuses on growing the subscriber base, improving user engagement, and maximizing retention by delivering compelling benefits and a seamless subscription experience. Our work involves optimizing pricing, enhancing the value proposition, and ensuring that Wolt+ meets the needs of customers across diverse markets.

As part of this team, you’ll work closely with product, and business & operations teams to uncover insights, measure program performance, and develop data-driven strategies that drive Wolt+ adoption and long-term customer loyalty.

About the Role

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.

Our offering to you

• 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 choose the location from our tech hubs Helsinki, Berlin and Stockholm, or you can work entirely remotely anywhere in Finland, Germany, 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

• 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. Read more about how we work.

Our humble expectations

• Degree in Mathematics, Statistics, Computer Science, or a related field.

5+ years of experience in a Data Analytics or Data Science position.

• Expertise in statistical analysis, including hypothesis testing and experimentation (A/B testing) using statistical software packages in Python, R, or equivalent for product development (preferably consumer-facing).

• Proficiency in writing structured and efficient SQL queries for large data sets.

• Have prior experience building intuitive data visualizations and dashboards that influence business decisions, utilizing tools like Looker, Tableau, Mixpanel, or similar.

• Relentless pursuit of new ideas and data sources, and have the ability to systematically tackle ambiguous problems with a data-driven, hypothesis-based approach.

That'll give you extra points:

Have prior experience with any Subscription product, or understanding/curiosity on subscription dynamics - Free Trial, Conversion-to-Paid, Paid Retention, Overall value proposition.

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!

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 - Zhanna Filintseva (zhanna.filintseva@wolt.com)

Apply now

Basic information

Attachments

You're welcome to send us supporting docs, e.g. a resume and a cover letter. Please only submit PDF files.

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