Senior Data Scientist (Analytics), Courier & Logistics

Job Description

We are looking for a Senior Data Scientist to join Wolt’s Courier & Logistics mission!

As the international side of Doordash business, Wolt is active in 27 countries outside of the US and growing. Together with functional and cross-functional partners, you’ll tackle highly impactful challenges to craft the most-loved platform for gig workers, empower local businesses with our robust logistics system.

Ultimately, your efforts will connect consumers to everything they desire.

About the role

Are you a creative thinker who thrives on turning ambiguous problems into business solutions? As a Data Scientist at Wolt, you’ll 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.

We’re seeking someone who enjoys finding patterns amidst chaos, is excited to build solutions from the ground up, and has a proven track record in using data science to solve business problems.

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.

If you take ownership of business outcomes and are proactive in driving change, we want you on our team!

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 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 don’t learn, we won’t stay still but fall behind.

Read more about how we work .

Qualifications

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

Have over 5 years of experience in a data science or analytics position within an industry or research setting

Expertise in statistical analysis, including hypothesis testing, experimentation, and regression analysis using statistical software packages in Python, Matlab, R, or equivalent

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

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

Be analytical, inquisitive, and a self-starter who is motivated to achieve results and collaborate with colleagues both inside and outside of the team

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 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 ([email protected])