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Marketing Mix & Attribution Modeling Lead- Data Science Manager jobs in United States
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Citizens · 12 hours ago

Marketing Mix & Attribution Modeling Lead- Data Science Manager

Citizens is a growing company looking to enhance its Marketing Analytics team. The Marketing Mix & Attribution Modeling Lead will manage a team of data scientists to develop Marketing Mix Models and Multi-Touch Attribution models, measuring the impact of marketing on financial outcomes and optimizing marketing investments.
BankingCredit CardsFinancial ServicesFinTechRetail

Responsibilities

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

Qualification

Quantitative analyticsMarketing mix modelingStatistical modelingSQLPythonTime-Series ModelingOptimization toolsData wranglingTeam leadershipCuriosityCommunication skillsProblem solvingCollaboration

Required

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
Bachelor's Degree in statistics, computer science, engineering, mathematics or similar quantitative field required

Preferred

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
Master's Degree preferred

Company

Citizens

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At Citizens, we recognize that the journey to accomplishment is no longer linear and that individuals are made of all they have done and all they are going to do.

Funding

Current Stage
Public Company
Total Funding
$2B
2025-02-26Post Ipo Debt· $750M
2024-07-09Post Ipo Debt· $1.25B
2014-09-23IPO

Leadership Team

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Melisa Carrascoza
SVP, Business Banking Market Executive - New England South
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Steve Kozek
Head of Commercial Excellence, Senior Vice President
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Company data provided by crunchbase