Senior Data Scientist, Workforce Management Analytics

At Wolt we create technology that brings joy simplicity and earnings to the neighborhoods of the 2014 we started with delivery of restaurant food. Now were building the delivery of (almost) everything and youll find us in over 500 cities in 30 countries around the 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe.

Working at Wolt isnt always easy but its definitely exciting. Here youll learn more build more and ship more than in most other companies. Youll be challenged a lot but also have a lot of fun on the way. So if youre a self-starter with drive and entrepreneurial spirit this could be the ride of your life.

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

During the years weve invested a lot in the in-house built support tooling as we believe that its the only way we can ensure the satisfaction of all of our customers and partners in each of the 25 countries that we operate in. We take huge pride in our customer operations quality so on top of building delightful support experiences in our consumer app we also want to proactively identify and solve issues even before our customers and partners even notice something might be wrong.

Our Support Analytics teams main goal is to deliver an amazing Customer Merchants & Courier support experience while optimizing our operations by providing actionable insights and quantifying the impact of those actions on the overall business.

Youll be part of this team working with top Data Science and Analytics Engineering professionals.

As a Senior 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.

Your job will mainly focus on driving operational efficiency with theWorkforce Management (WFM) team and optimizing resource allocation by creating accurate scheduling and intraday forecasts simplifying forecasting processes building and supporting KPI dashboards conducting root cause analysis for SLA improvements exploring cost optimization opportunities managing the capacity plan framework enhancing the WFM data pipeline and uncovering data-driven insights to refine planning scheduling reporting and intraday management.

Required:

• 5 years of experience in a data science or analytics position
• Experience building forecasting models and time series analysis (Prophet SARIMA Holt-Winters or similar)
• Experience in Cost Analysis and What-if Scenario Analysis
• Deep knowledge of statistical packages in Python or R
• Proficiency in writing structured and efficient SQL queries for large data sets
• Ability to influence and advise senior stakeholders Good to have:
• Experience using ML for forecasting
• Experience working with ML engineers/ML platform
• 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 interesting company to practice analytics.
• You have the chance to decide the ways of working: a hybrid at the office or remote in Berlin.
• 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 and keep in mind that Luke was Yodas greatest achievement.

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!

For any further questions about the position you can turn to Senior Talent Acquisition Partner - Zhanna Filintseva via

Were committed to growing and empowering a more inclusive community within our company industry and cities. Thats why we hire and cultivate diverse teams of people from all backgrounds experiences and perspectives. We believe that true innovation happens when everyone has room at the table and the tools resources and opportunity to excel.