Marketing Data Scientist/Engineer

**Role & responsibilities** As Marketing Data Scientist, you will be responsible for: Data Management & QA Skilled in SQL and Python/R to extract, clean, and validate large, complex marketing and external datasets Statistical Modeling Proficient in Bayesian MMM and econometric methods; addresses lag effects, seasonality, and multicollinearity Insight Generation – Translates MMM outputs into ROI by channel, saturation curves, and budget scenarios to inform investment decisions Business Communication – Develops executive-ready presentations and partners with leaders to align on insights and recommendations Technical Tools – Expertise in SQL, Python, R, Google Meridian, and visualization platforms to automate analyses and deliver model refinements **Required Skills:** - (Required) Skilled in SQL and Python/R to extract, clean, and validate large, complex marketing and external datasets ( - (Required) Proficient in Bayesian MMM and econometric methods; addresses lag effects, seasonality, and multicollinearity - (Required) Translates MMM outputs into ROI by channel, saturation curves, and budget scenarios to inform investment decisions - (Required) Develops executive-ready presentations and partners with leaders to align on insights and recommendations - (Required) Excellent English communication skills (Spoken/Written) Note: This is a third party job (Aggregated by careeruplift.ai). Shortlisting and Final hiring decision & process is handled by the company.