
Market Mix Model Developer
3 days ago
Data Scientist - Market Mix Modelling Role
Our organization is seeking a skilled Data Scientist to lead the design and development of advanced Market Mix Models (MMM) using Bayesian frameworks. This cutting-edge role involves leveraging statistical techniques and econometric principles to improve MMM accuracy.
The ideal candidate will have experience in building efficient and scalable probabilistic modelling tools to support MMM, as well as integrating Bayesian frameworks and advanced statistical methods to drive business outcomes.
We are looking for a highly motivated individual who can explore emerging methodologies like multi-touch attribution (MTA) and incrementality testing to complement MMM. The successful candidate will also be responsible for designing and deploying automated MMM pipelines using Python and cloud platforms.
To succeed in this role, you should have:
- 4-6 years of experience in Market Mix Modelling or marketing analytics.
- Advanced degree in Statistics, Data Science, Economics, Computer Science, or a related field.
- Immediate joiners are preferred or candidates with a maximum 15-day notice period.
Suggested skills include:
- Expert-level Python skills.
- Deep expertise in probabilistic programming and Bayesian frameworks.
- Strong grasp of econometric modeling, time-series analysis, causal inference, and hierarchical/multi-level modelling.
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