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Wolt is a global delivery platform operating in over 500 cities across 30 countries. The Support Group is responsible for core customer experience, and the Support Analytics team delivers actionable insights to optimize operations while ensuring customer, merchant, and courier satisfaction.
As a Senior Data Scientist on the Support Analytics team, you will solve crucial business problems by diagnosing issues, identifying solutions, designing experiments, and influencing decision-making. This is an operational, frontline analytics role focused on driving action rather than traditional reporting.
Your primary focus will be workforce management (WFM) optimization, including:
- Creating accurate scheduling and intraday forecasts
- Simplifying forecasting processes and building KPI dashboards
- Conducting root cause analysis for SLA improvements
- Exploring cost optimization opportunities
- Managing the capacity planning framework
- Enhancing WFM data pipelines
- Uncovering data-driven insights to refine planning, scheduling, reporting, and intraday management
You will work with top data science and analytics engineering professionals in a hybrid environment in Berlin, with flexibility to work remotely, at the office, or hybrid as you prefer.
Wolt operates across 25 countries with significant geolocational and temporal data in real-time, combined with varying economics and dynamics across cities, creating complex and interesting analytical challenges.
REQUIREMENTS:
- 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 datasets
- Ability to influence and advise senior stakeholders
GOOD TO HAVE:
- Experience using ML for forecasting
- Experience working with ML engineers/ML platforms
- Building data pipelines using Airflow or similar tools
