Job Overview
- Lead the design and implementation of data science solutions to evaluate and estimate the impact of marketing campaigns.
- Develop and deploy models including time series, classification, and regression models.
- Apply causal inference methodologies to measure campaign effectiveness and business impact.
- Analyze large datasets using Python and SQL to extract insights and support decision-making.
- Design and analyze A/B tests to validate hypotheses and optimize strategies.
- Collaborate with cross-functional teams including business stakeholders, marketing, and engineering.
- Translate complex analytical findings into clear, actionable recommendations.
- Ensure best practices in data modeling, experimentation, and statistical analysis.
Ready to Apply?
Take the next step in your career journey
Stand out with a professional resume tailored for this role
