Title : Senior Data Scientist (Econometrician / Marketing Mix Modelling Specialist

Senior Data scientist required to work with the Haleon Data Science team to drive Marketing Effectiveness using Marketing Mix Modelling, Multi-Touch Attribution, and other models.

Responsibilities:

· Oversee and be responsible for data collection including data extraction and manipulation, data analysis and validation.

· Analyse all datasets to ensure that each KPI is understood, and data is ready for modelling.

· Proficiency in using Excel/SQL/Python/Pandas to process, transform, create variables, and build models.

· Build base models according to the project specification, incorporating all drivers of KPIs, providing rationale for variables selection, understanding coefficients and contributions.

· Taking base models, oversee or build in additional improvements and progress the model towards finalisation

· Create sales effect/ ROI workbook,

· Create response curves and optimisation charts

· budget allocation. Run scenarios required to answer client objectives for the purpose of forward looking optimization,

· Validate models, identify areas of weakness, suggest and test possible improvements and ensure robustness and validity.

Requirements:

· Minimum 5 years of proven experience in developing and implementing Marketing Mix Models

· Be an 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.