VP Marketing Data Science

Citigroup Inc.; New York (NY); On-site; USD 140,000 - 180,000; Full time

Benefits offered by this job

Medical, dental, and vision coverage

401(k)

Paid time off packages

Job summary

Citigroup Inc. is looking for a VP, Marketing Data Science, to lead advanced analytics for the Media Sciences team. This senior role focuses on optimizing marketing spend through sophisticated measurement models and analytics.

The ideal candidate will possess extensive experience in financial services analytics with a strong background in machine learning and data science.

Competitive benefits including medical and wellness programs are offered.

Qualifications

• 6-10 years of experience in media measurement and analytics in financial services.
• Hands-on experience with complex structured and unstructured marketing data.
• Strong understanding of core AI/ML concepts.

Responsibilities

• Design and implement models to analyze marketing effectiveness.
• Conduct A/B testing and incrementality studies.
• Oversee the model development lifecycle.

Skills

Python

R

Machine learning

Statistical modeling

Data visualization

Predictive analytics

Education

Masters in Business Analytics, Finance, or Statistics

Tools

SQL

Tableau

Power BI

Dataiku

TensorFlow

PyTorch

Job description

Overview

The VP, Marketing Data Science is a highly experienced and senior role, part of the larger Media Sciences team in the Client Org, reporting to the SVP Marketing Data Science.

This role will primarily perform advanced analytics on data from the clean room, marketing data analytics, audience analytics, creative analysis, consumer journey, attribution and scenario planning.

This pivotal role will be responsible for leading advanced analytics initiatives and developing sophisticated measurement models to optimize marketing spend and drive demonstrable business impact. The successful candidate will be a strategic thinker with deep expertise in data science, marketing analytics, and a proven track record of translating complex data into actionable insights for senior stakeholders.

Key Responsibilities

• Design, develop, and implement advanced statistical and machine learning models to analyze marketing effectiveness, cross-channel attribution, audience analytics and user journey analytics.
• Leverage multiple analytical approaches, tools and techniques on multiple data sources (media channel data, acquisitions data, revenue data, digital data) to conduct A/B testing and incrementality studies addressing business questions through a marketing lens.
• Utilize predictive analytics to forecast marketing outcomes, identify optimal spending levels, and inform budget allocation decisions.
• Translate complex business questions into analytical problems and guide the team in developing data‑driven solutions.
• Communicate complex analytical concepts and data‑driven insights clearly to diverse audiences, including senior leadership, marketing teams and cross‑functional partners.
• Oversee the end-to-end model development lifecycle, from data collection and preprocessing to model building, validation, and deployment.
• Ensure the team adheres to best practices in data science, model governance and ethical data usage and ensure timely deployment of models.
• Serve as a subject‑matter expert in analytics, drive ideation on analytical projects and simplify outcomes for stakeholders.

Qualifications

• 6‑10 years of experience within media measurement and analytics, preferably in financial services, client side, agency side or publisher side.
• Proficiency in Python and R and experience with relevant data science libraries and frameworks.
• Experience with big data technologies, cloud platforms and data visualization tools such as SQL, Tableau, Power BI and Dataiku.
• Hands‑on experience with complex structured and unstructured marketing data and leading predictive modeling using machine learning, deep learning and neural networks across multiple projects.
• Strong understanding of core AI/ML concepts (RNN, LSTMs, LLMs, NLP) and ability to identify the optimal solution for any business case.
• Ability to independently own and project‑manage workstreams involving multiple stakeholders, demonstrating accountability and decisiveness.
• Ready for hands‑on involvement in measurement to identify roadblocks, uncover solutions, operate with curiosity and be hypothesis‑driven.
• Process‑oriented, organized and able to deliver high‑quality work in a fast‑paced dynamic environment across teams.
• Extensive experience working closely with legal, compliance and procurement teams on technology contracting and approvals in a highly regulated environment.
• Tools and Platforms: proficient in Python/R, Hive/SQL; experience with machine learning frameworks like TensorFlow, PyTorch; good to have experience on Gen AI platforms and tools.

Education

Masters or Bachelor’s degree in Business Analytics, Finance, Statistics (advanced degree preferred).

Benefits

Citi offers competitive benefits including medical, dental and vision coverage; 401(k); life, accident and disability insurance; wellness programs; paid time off packages (vacation, sick leave, paid holidays). For additional information, please visit citibenefits.com.

Legal Notices

Citi is an equal opportunity employer and qualified candidates will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran or any other characteristic protected by law.