Senior Data Scientist, Marketing Analytics
Workplace: Stockholm, Sverige
Expires: September 7, 2025
Join Wolt's Marketing Analytics team to improve marketing effectiveness and support business growth. Use data science to solve marketing challenges through attribution, MMM, and experimentation across Wolt's markets. Collaborate closely with various teams to provide actionable insights and drive decision-making. This role offers operational, data-driven impact beyond traditional analytics.
Main requirements:
  • 5+ years experience in data analytics, consulting, or a related quantitative field
  • Proficiency in SQL querying and predictive modeling
  • Experience with visualization tools such as Looker or Tableau
  • Familiarity with Python or R preferred
  • Expertise in experimentation techniques including causal inference and A/B testing
  • Ability to design experiments and conduct statistical analysis
  • Strong critical and creative thinking skills for problem solving in dynamic environments
  • Excellent interpersonal and cross-functional collaboration skills
  • Ability to lead strategic projects to completion
  • Team player attitude and humility
  • Experience with multi-sided marketplaces and marketing is a plus
Responsibilities:
  • Use statistical techniques, hypothesis testing, and experimentation to validate findings and influence business decisions
  • Provide insights on marketplace dynamics, user behaviors, and long-term trends
  • Conduct quantitative analyses and present data to uncover business drivers
  • Build analytics experiments, reports, and dashboards; do ad-hoc analyses using SQL, R, or Python
  • Identify and measure levers to improve metrics and make actionable recommendations
  • Collaborate effectively with Marketing, Strategy & Operations, Product, Finance, and Engineering teams
  • Mentor team members towards achieving actionable outcomes
Required hard skills:
  • SQL
  • Predictive modeling
  • Visualisation tools (Looker, Tableau)
  • Experiment design and statistical analysis
  • Hypothesis testing
  • A/B testing
Recommended hard skills:
  • Python
  • R
  • Experience in multi-sided marketplaces
  • Marketing analytics
Soft skills:
  • Creative mindset
  • Critical thinking
  • Strong interpersonal skills
  • Cross-functional collaboration
  • Leadership in strategic projects
  • Humility
  • Team-player attitude
Coding languages:
  • SQL
  • Python
  • R
Natural languages:
  • English (Proficient)
Cultural skills:
  • Ownership beyond the obvious
  • Doing common things uncommonly well
  • Thinking big but staying humble
  • Kindness and justice
  • Continuous learning
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