Senior Data Scientist Analytics Courier
Senior Data Scientist Analytics Courier
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Job Description
We are looking for a (Senior) Data Scientist (Analytics) to join Wolts Courier & Logistics mission!
As the international side of the Doordash business Wolt is active in 27 countries outside of the US and growing. Together with functional and crossfunctional partners youll tackle highly impactful challenges to craft the mostloved platform for gig workers and empower local businesses with our robust logistics system. Ultimately your efforts will connect consumers to everything they desire.
About the role
As a Data Scientist at Wolt youll dive deep into our data to tackle crucial business challenges. You will diagnose problem areas develop new metrics design experiments uncover foundational causal relationships in our data and influence strategic decisions. This role combines scientific expertise with stakeholder engagement positioning you at the forefront of driving business outcomes. You will work closely with Product Engineering Design and Operations teams to guide measurement strategies and tactical decisions helping to expand the Wolt platform globally.
In this role you will use data to optimize and quantify the onboarding of couriers and help us to reach the right number of couriers in the most efficient way to maximize the business outcome.
From day one you will work on questions such as
- Whats the business impact of one missing courier or a delay in the onboarding process
- How do referrals impact courier performance and retention
- What are the main blockers in the onboarding funnel and how can we improve them
- Do automated processes perform better or worse than manual ones and how much so
You will be the expert from the data side to answer the questions and own exploration tracking and experimentation.
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 in Berlin Helsinki and Stockholm or you can work entirely remotely anywhere in Germany Finland and Sweden. 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. Read more about how we work.
Qualifications :
A typical candidate for this role has over 3 years of experience in a data science or analytics position within an industry or research setting and a degree in mathematics statistics economics computer science or a related field.
We value the following attributes in an applicant:
proven track record in using data science to solve business or research problems
expertise in statistical analysis including hypothesis testing experimentation and regression analysis using statistical software packages in Python R or equivalent
proficiency in writing structured and efficient SQL queries for large data sets
good communication skills and the ability to explain complex topics to a technical and nontechnical audience
good stakeholder management
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
