Data Scientist

Role :

Data Scientist (Marketing Mix Modelling )Responsibilities :

Own, develop, train and deploy MMM models (regression + optimization) in close collaboration with marketing and business teamsCreate Optimization Framework for resource allocation within marketing in close collaboration with business / marketing teams to define constraintsDesign and build data extracts using SQL, prepare and standardize relevant datasets from various data sources to support Marketing Mix Modeling (MMM) data pipeline, while data maintenance exercise like cleaning, and QA as necessarySupport the development and maintenance of recurring reporting and insight development related to MMM, marketing campaign performance, forecasting, and other marketing team and MMM activitiesDesign and build visualizations that present findings from modeling, optimization and analysis phases (e.G. ROAS trends, channel mix over time, and funnel performance dashboards)Present findings / recommendations to all levels of management leveraging an understanding of typical marketing channel behaviorsBuild hypothesis on channel-level knowledge of media partners, tactics, objectives and buy-types and communicate test results to technical and non-technical stakeholdersBuild simple tools for business to interact with MMM models and generate budget and plans per requirements and constraints interactivelyRequirements :

Bachelor's degree or above in a quantitative field4+ years of Data Science experience with projects delivered end to end in marketing or retailHands on experience with MMM and other marketing modelsAn understanding of marketing business / strategy / objectivesGood communication and presentation skillsTech skills :

PythonSQL (Bigquery experience preferred)Machine Learning