Staff Data Scientist
Workplace: Stockholm, Sverige
Expires: August 28, 2025
As a Staff Data Scientist at Wolt, you will play a key role in shaping strategic decisions across operational business teams by combining scientific expertise with hands-on collaboration to drive global growth through data-driven initiatives.
Main requirements:
- Over 6 years of experience in data science or analytics in industry or research.
- Degree in mathematics, statistics, economics, computer science, or related field.
- Proven track record in using data science to solve business problems.
- Expertise in statistical analysis and experimentation using Python, R, or equivalent.
- Proficiency in writing structured and efficient SQL queries for large datasets.
- Experience in data modelling and building scalable, self-serve reporting solutions.
- Great communication skills to explain complex topics to technical and non-technical audiences.
- Strong stakeholder management and collaboration skills.
Responsibilities:
- Own impact assessment for early-stage, high-potential initiatives.
- Lead root cause analysis of metric trends and support annual planning and budgeting with data-driven reasoning.
- Run causal inference analyses and experimentation to evaluate new ideas and guide decisions.
- Build and maintain tracking infrastructure, develop new metrics, and monitor performance to ensure strategic alignment.
- Collaborate cross-functionally to embed measurement into product and operational decisions.
Required hard skills:
- Statistical analysis and experimentation skills
- Proficient in Python, R, or equivalent statistical software packages
- Efficient SQL querying of large datasets
- Data modelling
- Building scalable, self-serve reporting solutions
Recommended hard skills:
- Causal inference techniques
- End-to-end tracking and monitoring frameworks
Soft skills:
- Strong communication
- Ability to explain complex topics clearly
- Stakeholder management
- Collaboration
Coding languages:
- Python
- R
- SQL
Natural languages:
- English (Proficient)
Cultural skills:
- Ownership mindset
- Excellence in execution
- Humility
- Kindness and fairness
- Continuous learning
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