Data Scientist

Role: Sr Data Scientist

Location: London

Role Type: Contract

Work Mode: Hybrid(3 days onsite)

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
• Primary and extensive experience in MMM & PyMC areas/tools
• 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