Teams at Fospha Marketing

Supports incrementality testing and marketing mix modeling by validating client data, assessing experimental designs, running analyses, interpreting diagnostics, investigating model-trust queries with SQL, and reconciling measurement results. The role also includes client explainer sessions, documentation, methodology fact-checking, incident logging, and workflow improvement. Work is performed under detailed supervision with structured development toward independent testing, MMM delivery, and automated trust monitoring.

Build, ship, and maintain production data science models for attribution, marketing mix modelling, incrementality testing, and brand impact measurement. Independently select modelling approaches, debug code, collaborate with QA, communicate with clients as a modelling expert, use AI tooling and automation, and mentor junior colleagues.

Develop and maintain data science models for marketing measurement products, including attribution, forecasting, optimization, and experimentation. Own analytical investigations, model backtesting, production bug fixes, and pipeline work. Write and review Python and SQL production code, debug unfamiliar repositories, use AWS and QA tooling, and communicate findings to clients and colleagues. The role also involves applying machine learning methods, reviewing AI-assisted code, clarifying requirements, and progressively taking ownership of technical areas.