Apply statistical and econometric methods to marketing effectiveness projects, building robust models and translating complex analyses into actionable recommendations for clients and senior executives.
Junior Business Scientist, Data Science and Marketing Effectiveness
📜 Description
- Contribute to client projects in Marketing Mix Modeling (MMM) and Marketing Mix Optimization (MMO).
- Clean, prepare, and analyze data from multiple sources using Python, R, SQL, or Excel.
- Support statistical and predictive modeling, including regression, econometrics, and Bayesian methods.
- Develop dashboards, charts, and visualizations to communicate insights.
- Participate in supervised client meetings and help translate analytics into practical recommendations.
- Prepare client deliverables and contribute to team knowledge-sharing and professional development.
🛠️ Requirements
- 0-2 years of professional experience, including internships or graduate placements.
- Bachelor's or Master's degree in Statistics, Economics, Data Science, Computer Science, Applied Mathematics, or a related analytical field.
- Basic knowledge of Python or R and willingness to learn advanced techniques.
- Understanding of statistical modeling, regression, econometrics, Bayesian statistics, or marketing metrics.
- Ability to work with and clean large datasets while maintaining quality.
- Databricks, Azure, or MMM experience is a plus.
- Proficiency in Microsoft Office, including Excel, PowerPoint, and Word.
- Analytical problem-solving skills, curiosity, communication skills, and ability to work autonomously and collaboratively.
Full job description
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