Marketing Mix & Attribution Modeling Lead- Data Science Manager

There’s no better time to be a Citizen! We are growing and looking to add to our Marketing Analytics team.

The Marketing Analytics team supports Enterprise Marketing with data analytics and insights that inform our customer marketing and product strategy across all Lines of Businesses. Marketing Analytics is responsible for analyzing the performance of marketing campaigns across online and offline channels and provides analytical support throughout the marketing campaign lifecycle including pre-campaign sizing list production experimental test design measurement optimization and forecasting. 

The Marketing Mix & Attribution Modeling Lead will manage a team of data scientists leveraging advanced statistical modeling techniques to lead the development of a suite of Marketing Mix Models and Multi-Touch Attribution models to holistically measure the incremental impact that marketing has on financial outcomes and build the framework to scenario plan and optimize marketing investments across products marketing channels markets and time. 

This person will have significant interactions with other colleagues in the Marketing Analytics team and is expected to provide analytical thought leadership and bring cutting edge statistical knowledge to solve complex marketing problems. Deep technical skills ability to continuously learn from industry and academic work and strong communication skills will be determining factors in selection.

Primary responsibilities include:

• Build maintain and evolve market level marketing mix models to estimate the causal impacts of marketing activities on Citizens’ financial outcomes in the short and long term

• Manage and lead the model development lifecycle for a suite of Marketing Mix Models including data wrangling exploratory data analysis feature engineering and variable transformations econometric model development model validation documentation model governance management and monitoring.

• Decompose models and derive marketing “due-tos” attributing financial outcomes to marketing impressions and spend. Derive marketing performance KPIs including Cost per Incremental Account (CPIAs) and Return on Marketing Investment (ROMIs).

• Leverage non-linear constrained optimization to operationalize the suite of Marketing Mix Models and develop a scenario planning and optimization tool that can be used by the Marketing Analytics and Marketing teams to optimize marketing investments across products channels markets and time.

• Automate the model development process to scale model building across all Citizens’ Consumer Lines of Businesses.

• Develop multi-touch attribution models using data driven statistical approaches beyond heuristic or rules-based models.

• Partner with Marketing Analytics SPOCs Media Analytics & Insights colleagues and Enterprise Marketing stakeholders to derive actionable insights and recommendations. Find opportunities to optimize the marketing mix and maximize NPV given a budget and/or minimize budget given a NPV goal.

• Become an expert across marketing channels customer segments and key markets tracked by Citizens’ Enterprise Marketing team to contextualize business activities and priorities.

• Document and communicate technical/analytic results insights and recommendations to both technical and non-technical audiences.

• Collaborate with data scientists and analysts on our team to brainstorm solutions understand data availability and tools provide project updates and share ideas.

Our preference would be to have a chosen candidate with onsite capabilities in the greater Boston MA or Columbus OH areas however we are open to remote employment within the United States for the ideal candidate.

Required Skills/Experience:

• 8+ years of experience in quantitative analytics including marketing analytics financial modeling applied statistics or equivalent.

• 5+ years of experience in continuous and discrete dependent variable regression-based modeling.

• 5+ years of experience coding in SQL Python and maintaining standalone Python-based applications.

• 3+ years of hands-on experience programming marketing mix modeling or comparable solutions in Python.

• Proven ability to lead high-performing teams through influence accountability coaching and talent development.

• Expertise translating statistical models into scenario planning and optimization tools leveraging GAMS PyOpt or a comparable platform that solves non-linear constrained optimization problems.

• Expertise on Time-Series Modeling with demonstrated ability to quantify uncertainty and model complex hierarchical data using Bayesian methods.

Additional Skills/Experience:

• Exceptionally strong technical background with deep knowledge of statistical areas including ANOVA Multiple Regression Logistic Regression Time-Series Modeling Principal Component Analyses Decision Trees Clustering etc.
• Strong sense of ownership relentless curiosity and self-driven approach to problem solving.

• Experience in data and analytics in Banking and Financial Services

• Experience working with model risk governance in terms of documenting and validating statistical models used for making business decisions.

• Strong written and verbal communication skills required with an ability to successfully communicate analytic results insights and resulting business implications to non-technical business partners.

• Ability to work in a team environment and collaborate with colleagues who have a background in statistics database development/maintenance and information technology.

Education Certifications and/or Other Professional Credentials:

• Bachelor’s Degree in statistics computer science engineering mathematics or similar quantitative field required; Master’s Degree preferred 

Hours and Work Schedule:

• Hours per Week: 40

• Work Schedule: Monday – Friday

• Hybrid: 4 days per week onsite

Pay Transparency

The salary range for this position is $190000 - $220000 per year plus an opportunity to earn an annual discretionary bonus. Actual pay is based on various factors including but not limited to the work location and relevant skills and experience.

We offer competitive pay comprehensive medical dental and vision coverage retirement benefits maternity/paternity leave flexible work arrangements education reimbursement wellness programs and more. Note Citizens’ paid time off policy exceeds the mandatory paid sick or paid time-away policy of every local and state jurisdiction in the United States. For an overview of our benefits visit https://jobs.citizensbank.com/benefits. 

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