Data Scientist / Data Engineer (m/w/d)

In 2014 we started with delivery of restaurant food. Now we're building the delivery of (almost) everything and you'll find us in over 500 cities in 30 countries around the world. Working at Wolt isn't always easy, but it's definitely exciting. About the Support Group

As the name Support Group implies, this group is responsible for the core part of the customer experience journey that has earned Wolt top-notch ratings in app stores.

During the years, we've invested a lot in the in-house built support tooling as we believe that it's the only way we can ensure the satisfaction of all of our customers and partners in each of the countries that we operate in. You'll be part of this team, working with top Data Science and Analytics Engineering professionals.

As a Data Scientist at Wolt, your role involves diving into our data to solve crucial business problems. This is a rare, operational, and actionable data-driven experience. Your job will mainly focus on identifying opportunities to optimize an in-house tool developed for support operations to resolve customer queries by identifying support ops needs, building supporting KPI & dashboards, conducting root cause analysis for product improvements, exploring cost optimization opportunities, and uncovering data-driven insights to refine product roadmap & automation capabilities.

Collaborate with senior stakeholders across Finance, Product, Analytics, and Support Operations, including country and regional heads of support and the overall head of Customer Service, to influence our operating model and how we structure our queues to provide the best support for our customers

Create metrics and build data pipelines, transforming data into valuable information to be used in critical decision-making.

Use advanced analytics & statistical analysis to accelerate decision-making and build heuristics to quantify the impact of those decisions.

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

• 3+ 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 causal inference using statistical software packages in Python, R, or equivalent.
• Exceptional communication skills, with the ability to influence and advise senior stakeholders through telling exciting and valuable stories from any data exploration.
• 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.
• Comfortable with building data pipelines using Airflow or similar tools.
• 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 have the chance to decide the ways of working — a hybrid, at the office, or remote, within the location above. &##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.

We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.