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Senior Pymc Marketing Data Scientist

Posted 4 hours 26 minutes ago by ecm resourcing limited

Contract
Not Specified
Marketing & PR Jobs
London, United Kingdom
Job Description

Senior Pymc Marketing Data Scientist

6 month contract + extensions long term!

Start ASAP

An excellent opportunity for a Senior Data Scientist to join a leading FMCG client to drive Marketing Effectiveness using Marketing Mix Modelling, Multi-Touch Attribution, and other models. Minimum 6 month contract + extensions long term. Mainly remote working. UK based. This client is pushing the boundaries of Marketing data science with an very interesting program set for the next 3-4 years.

Responsibilities:

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

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

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)

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