Making Science is looking to solve the business problem of quantifying the effectiveness of a client's marketing investments by building, maintaining, and validating statistical marketing mix models.
Requirements
- building and interpreting statistical or econometric models
- Strong proficiency in Python or R for data analysis and modeling.
- Experience with SQL for data extraction and manipulation.
- Familiarity with MMMs such as Google Meridian or other providers is a plus.
- Familiarity with cloud platforms (e.g., AWS, Google Cloud) is a plus.
Responsibilities
- Collect, clean, and integrate large, disparate datasets from various sources, including advertising spend, sales, pricing, and external factors (e.g., seasonality, competitor activity).
- Design and build custom Marketing Mix Models using advanced statistical techniques like multivariate regression and Bayesian modeling to isolate the incremental impact of each marketing channel.
- Conduct rigorous model validation through back-testing and cross-validation to ensure accuracy and robustness.
- Automate data workflows and model pipelines using programming languages like Python (NumPy, Pandas, Scikit-learn) or R.
- Analyze and have a deep understanding of media spend (investment and return) to assess and measure the performance of client marketing campaigns.
- Stay current with the latest trends in marketing measurement, contributing to the development of new modeling techniques and frameworks.
- Work closely with the client-facing team to provide technical support and ensure the model's outputs are well-understood. Ensure model architecture is aligned with core business questions and designed to output metrics that directly address client problematics.
Other
- Bachelor's or Master's degree in a quantitative field such as Statistics, Economics, Mathematics, or Data Science.
- We care about a healthy work-life balance. You can count on having flexible working hours and the possibility to work from home.
- Health, vision, and dental insurance included. 401k plan with company contribution.
- The opportunity to meet our international team with our Ambassadors Program.
- 15 paid days off per year of holidays (plus bank holidays).
