Hey, you look like you might be our new  Senior Data Scientist, Consumer, Pricing

Analytics & Data Science

Helsinki, Finland


About the Consumer Group

As the name Consumer Group implies, this group is responsible for building and developing Wolt’s consumer-facing products. The core mission is to master the user experience while scaling up the platform to enable delivering a mall in a pocket. 

Inside the Consumer Group, there are several teams, and two of them are currently in need of more Data Scientist support - Pricing and AdTech. This advert is focused on the Pricing domain, but if you’re interested in AdTech, please check this job advert


About the Pricing Domain

The Consumer Pricing Data Science  team is committed to consumer-first pricing that's fair, transparent, and compliant. We create innovative pricing solutions that offer clear value for our consumers. We collaborate cross-functionally to achieve both short-term and long-term business goals. Our team of Data Scientists and partners closely with Product, Engineering, Strategy & Operations, conducting experiments, advanced analytics, and operational reporting to enhance our consumer pricing strategies.


About the Consumer Data Science Team

Our Consumer Analytics team comprises a cross-section of Data Scientists and Analytics Engineers. We work closely with the Data Engineering and Machine Learning teams who help ensure we have the right platform to deliver our insights at scale. We partner with Product, Engineering, and Strategy & Operations teams to guide measurement and tactical decision-making using advanced analytics as we expand the Wolt platform across the globe.


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 Pricing, we're 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 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 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 don’t learn, we won’t stay still but fall behind and keep in mind that Luke was Yoda’s greatest achievement. Read more about how we work.

Our humble expectations

• Degree in Mathematics, Statistics, Computer Science, or a related field, or equivalent work experience. 

• 3+ years of experience in an analytics or data science position within an industry or research setting.

• 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.

• Exposure to building intuitive data visualizations and dashboards that influence business decisions, utilizing tools like Tableau, Mixpanel, Looker, or similar.

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

• Experience in Pricing analytics is considered as a plus.

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 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 (zhanna.filintseva@wolt.com)

Apply now

Basic information


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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