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Senior Data Scientist, Consumer, Payments

Analytics & Data Science

Helsinki, Finlandย ยท Stockholm, Swedenย ยท Berlin, Germany

Full-time

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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 organization, and foster a data-driven culture through collaboration and education, ultimately inspiring teams and building value for the Consumer group.

About the Payments Domain

Payment Group at Wolt is building a world-class payment infrastructure for the best customer experience. Youโ€™ll be part of the team working on a smooth, scalable, and secure checkout experience adapting to the many use cases of consumers.

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.

If you enjoy finding patterns amidst chaos, are excited to build from 0 to 1, and have experience using analytics to affect Payments, we're looking for someone like you!

Our offering to you

โ€ข 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. 

โ€ข 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 โ€” a hybrid, at the office, or remote within the location above. ๐Ÿ’™ Read more about our remote setup

โ€ข 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 donโ€™t learn, we wonโ€™t stay still but fall behind and keep in mind that Luke was Yodaโ€™s greatest achievement. Read more about how we work.

 

Our humble expectations

โ€ข Degree in Mathematics, Statistics, Computer Science, or a related field.

โ€ข 5+ years of experience in a Data Analyst or Data Scientist position.

โ€ข Experience with the Payments domain - weโ€™ll pay lots of attention to this experience.

โ€ข Expertise in statistical analysis, including hypothesis testing (A/B testing), and experimentation using statistical software packages in Python, R, or equivalent.

โ€ข Proficiency in writing structured and efficient SQL queries for large data sets.

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

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 youโ€™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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