Data Scientist (Analytics), Consumer

Job Description

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.

About the Consumer Data Science Team

Consumer Analytics team comprises a cross-section of Data Scientists (Analytics) and Analytics Engineers. We work closely with the Data Engineering team who help ensure we have the right platform to deliver our insights at scale.

We partner with Product, Engineering, Design and 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 that requires a good mix of technical and stakeholder engagement skills.

When you join this team, you will be driving action from the frontlines, rather than just doing yet another analytics or data science role.

Data Scientists at Wolt take ownership of the business outcomes.

If you enjoy finding patterns amidst the chaos, are excited to build from 0 to 1, and have experience using data science skills to solve business problems, 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 and Stockholm, or you can work entirely remotely anywhere in 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 and keep in mind that Luke was Yoda’s 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 Analytics or Data Science position.
• Expertise in statistical analysis, including hypothesis testing, experimentation using statistical software packages in Python, R, or equivalent for product development (preferably consumer-facing).
• 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 Looker, Tableau, Mixpanel, 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

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])