Senior Data Scientist
Xcede are currently supporting a Global consumer product company with a Marketing effectiveness project, focused on Marketing Mix Modelling, Multi-Touch Attribution, and other models.
Our customer is actively searching for Freelance Senior Data Scientists, with 2+ years of experience in Media/Marketing Mixed Models (MMM), strong knowledge of Bayesian Methods and expert level knowledge of Python.
The Senor Data Scientists will be responsible for data collection, including data extraction and manipulation, data analysis and validation. They will build base models according to the project specification, incorporating all drivers of KPIs, providing rationale for variables selection, understanding coefficients and contribution.
Key skills include;
- Minimum of 5 years of proven experience in developing and implementing Marketing Mix Models
- Expert in Python and familiar with R programming for MMM Models
- Have in depth understanding of statistical modelling / ML techniques
- Strong experience with Regression based models applied to the context of MMM modelling
- Solid experience with Probabilistic Programming and Bayesian Methods
- Be an expert in mining large & very complex data sets using SQL and Spark
- Have in depth understanding of statistical modelling techniques and their mathematical foundations,
- Have a good working knowledge of Pymc and cloud-based data science frameworks and toolkits. Working knowledge of Azure is preferred
- Have a deep knowledge of a sufficiently broad area of technical specialism (Optimisation, Applied Mathematics, Simulation)
- MS or PhD degree in Data Science, Computer science, applied mathematics, statistics, or another relevant discipline with a strong foundation in modelling and computer science.