Back
Mid-level data scientist role with common skills and metro location increases candidate competition.
Specialized Marketing Mix Optimization and marketing analytics focus limit cross-industry transferability.
Explicit 4+ years plus mandatory MMO, Python, SQL, and statistical modeling requirements enforce strict filtering.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design and enhance Marketing Mix Optimization (MMO) solutions to optimize marketing budget allocation and maximize ROI.
Build and deploy statistical and machine learning models to quantify marketing effectiveness and support media investment decisions.
Develop scalable Python-based analytical pipelines, optimization frameworks, and perform scenario planning to inform marketing strategies.
4+ years of hands-on experience in Data Science, Marketing Analytics, or Marketing Mix Optimization.
Strong programming skills in Python and SQL for data extraction and analysis.
Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Data Science, Economics, Operations Research, Engineering, or related quantitative field.
Proven experience with regression modeling, applied statistics, feature engineering, model validation, and working with large marketing/sales datasets.
Experienced in building scalable optimization and decision-support models specifically for marketing budget allocation and ROI measurement.
Able to translate complex analytical findings into actionable business recommendations and communicate effectively with both technical and non-technical stakeholders.
Experienced with Marketing Mix Modeling (MMM), media optimization, and marketing effectiveness analytics, preferably in CPG, Retail, Healthcare, Pharma or Media industries.