Senior Data Scientist Analytics Consumer Loyalty Wolt
Senior Data Scientist Analytics Consumer Loyalty Wolt
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Job Description
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 longterm loyalty.
Our mission is to provide datadriven 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 pointsbased 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 youll work closely with product and business & operations teams to uncover insights measure program performance and develop datadriven strategies that drive Wolt adoption and longterm 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 decisionmaking. This is a rare operational and actionable datadriven 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 realtime 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 dont learn we wont stay still but fall behind and keep in mind that Luke was Yodas greatest achievement. Read more about how we work.
Qualifications :
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 consumerfacing).
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 datadriven hypothesisbased approach.
Thatll give you extra points:
Have prior experience with any Subscription product or understanding/curiosity on subscription dynamics Free Trial ConversiontoPaid Paid Retention Overall value proposition.
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 youll own a piece of the pie.
For any further questions about the position you can turn to Product Talent Acquisition Partner Zhanna Filintseva ()
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
