Data Scientist
Skills
Computer ScienceAnalyticsAssessmentBrand Health TrackingBusinessContextFinance
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
