Principal Marketing MMM & Optimization Scientist

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

Résumé du poste

Citizens in Boston, MA is seeking a Principal Marketing Mix Model & Optimization Developer to lead MMM initiatives and optimization for marketing budgets. You will build models in Python/SQL, quantify ROMI, and collaborate with Marketing Analytics, stakeholders, and cross-functional partners to translate insights into actionable business guidance.

The role emphasizes strong statistical methods, model governance, and the ability to influence decisions through data, with preferred locations in

Qualifications

• 8+ years of experience in quantitative analytics, marketing analytics, statistical modeling, or related fields.
• 5+ years of experience developing analytical solutions using Python and SQL.
• 3+ years of experience building Marketing Mix Models (MMM) or similar advanced analytics solutions.
• Strong expertise in time series modeling, Bayesian methods, and regression modeling.
• Experience developing, testing and deploying optimization solutions to support business strategy and decision-making using Pyomo, SciPy, or similar frameworks.
• Strong communication skills with the ability to translate analytical insights into clear business recommendations.
• Demonstrated ability to influence decisions and drive business outcomes through data and analytics.
• Experience applying data and analytics within Banking or Financial Services.

Responsabilités

• Build, maintain, validate, and enhance Marketing Mix Models (MMM) across product lines to measure the short- and long-term impact of marketing investments on business outcomes using Python and SQL.
• Develop marketing attribution insights and key performance metrics, including marketing contribution, cost per incremental acquisition, and return on marketing investment (ROMI).
• Partner with Marketing Analytics and marketing stakeholders to generate actionable insights and identify opportunities to improve marketing effectiveness and investment performance.
• Develop and implement optimization solutions for budget allocation, scenario planning, and resource optimization using tools such as Pyomo, SciPy, or similar frameworks.
• Communicate analytical methodologies, insights, and recommendations effectively to both technical and non-technical audiences.

Connaissances

Time series modeling

Bayesian methods

Regression modeling

Statistical modeling

Data-driven analysis

Strong communication

Problem solving

Influence decisions

Formation

Bachelor’s Degree in statistics, CS, engineering, mathematics, OR ORS

Outils

Pyomo

SciPy

Gurobi

CPLEX

IPOPT

KNITRO

Python

SQL

Description du poste

Citizens in Boston, MA is seeking a Principal Marketing Mix Model & Optimization Developer to lead MMM initiatives and optimization for marketing budgets. You will build models in Python/SQL, quantify ROMI, and collaborate with Marketing Analytics, stakeholders, and cross-functional partners to translate insights into actionable business guidance.

The role emphasizes strong statistical methods, model governance, and the ability to influence decisions through data, with preferred locations in