Summary: The role of Data Scientist with Marketing Mixed Modelling experience involves working with a top global company on a 6-month contract basis, focusing on driving marketing effectiveness through various modelling techniques. The position requires expertise in data collection, analysis, and the development of marketing mix models. The role is primarily remote with one day onsite per month and is classified as inside IR35 due to the requirement to set up via an umbrella company or PAYE.

Key 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.

Key Skills:

• Proven experience in developing and implementing Marketing Mix Models.
• Expert in Python and familiar with R programming for MMM Models.
• In-depth understanding of statistical modelling/ML techniques.
• Experience with Regression based models applied to the context of MMM modelling.
• Solid experience with Probabilistic Programming and Bayesian Methods.
• Expert in mining large & very complex data sets using SQL and Spark.
• In-depth understanding of statistical modelling techniques and their mathematical foundations.
• Good working knowledge of Pymc and cloud-based data science frameworks and toolkits; working knowledge of Azure is preferred.
• 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 is highly desirable.

Salary (Rate): undetermined

City: London

Country: UK

Working Arrangements: hybrid

IR35 Status: inside IR35

Seniority Level: Senior

Industry: IT