Marketing Mix Modeling & Optimization Lead

Citizens; Westwood (MA); Sur place; USD 149 000 - 194 000; Plein temps

Résumé du poste

Citizens is seeking a Principal Marketing Mix Model & Optimization Developer to lead MMM efforts and optimization for budget allocation. You will build MMMs using Python and SQL and partner with Marketing Analytics and stakeholders across business lines.

The role requires 8+ years in quantitative analytics, 5+ years with Python/SQL, 3+ years MMM or similar models, and strong time-series/Bayesian skills. Excellent ability to translate insights to actionable recommendations.

Qualifications

• 8+ years' experience in quantitative/marketing analytics.
• 5+ years developing analytical solutions using Python and SQL.
• 3+ years building Marketing Mix Models (MMM) or similar analytics.
• Strong time series, Bayesian, and regression modeling expertise.
• Excellent communication and ability to translate insights to business impact.

Responsabilités

• Build, validate, and enhance Marketing Mix Models across product lines.
• Develop marketing attribution insights and ROMI metrics.
• Partner with Marketing Analytics and stakeholders to drive opportunities.
• Develop optimization solutions for budget allocation and scenario planning using Pyomo or SciPy.
• Communicate methodologies and recommendations to technical and non-technical audiences.
• Location preference: Greater Boston MA, Columbus OH, Charlotte NC, New York NY or Chicago IL are preferred.

Connaissances

Quantitative analytics

Python

SQL

Statistical modeling

Time series

Communication

Formation

Bachelor's degree in statistics, mathematics, computer science

Outils

Pyomo

SciPy

Gurobi/CPLEX

Description du poste

Citizens is seeking a Principal Marketing Mix Model & Optimization Developer to lead MMM efforts and optimization for budget allocation. You will build MMMs using Python and SQL and partner with Marketing Analytics and stakeholders across business lines.

The role requires 8+ years in quantitative analytics, 5+ years with Python/SQL, 3+ years MMM or similar models, and strong time-series/Bayesian skills. Excellent ability to translate insights to actionable recommendations.