Senior Data Scientist Consumer Payments
Senior Data Scientist Consumer Payments
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Job Description
About Consumer Analytics at Wolt
As the name Consumer Analytics implies this team aims to provide reliable data insights that drive informed decisionmaking empower Wolts product organization and foster a datadriven 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 worldclass payment infrastructure for the best customer experience. Youll 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 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.
If you enjoy finding patterns amidst chaos are excited to build from 0 to 1 and have experience using analytics to affect Payments were looking for someone like you!
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 Analyst or Data Scientist position.
Experience with the Payments domain well pay lots of attention to this experience.
Expertise in statistical analysis including hypothesis testing (A/B testing) and experimentation using statistical software packages in Python R or equivalent.
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 Tableau Mixpanel Looker or similar.
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
