Data Scientist

Skills
Computer ScienceAnalyticsAssessmentBrand Health TrackingBusinessContextFinance
Role

What the job involves

The main requirements, responsibilities and hiring steps.

Requirements

  • Bachelor's degree in Mathematics Statistics a relevant technical field or equivalent
  • 8+ years of experience with analytics SQL Python R or statistical software
  • 8+ years of experience solving analytical problems using quantitative approaches and leading data-driven projects
  • Proven expertise in building and validating predictive models
  • Experience using machine learning and statistical analysis for data-driven solutions
  • Experience in the tech industry ideally at a consumer-facing data-rich organization
  • Comfortable working independently in a fast-paced matrixed environment
  • Strong communication skills for senior non-technical audiences

Nice to have

  • PhD in quantitative field
  • Synthetic data experience
  • Marketing measurement background
  • AI workflow optimization
  • Responsible AI practices
  • Ongoing AI skill development

Day to day

  • Design and run synthetic data pilots to evaluate viability methodology and practical uses for brand and insights work
  • Build predictive models that combine brand health tracking business performance and media spend to surface correlations and set evidence-based targets
  • Develop forecasting frameworks to predict in-market creative success and translate complex model outputs into clear actionable recommendations for non-technical stakeholders