***Vanguard Charitable may offer a sign‑on bonus of up to $10,000, aligned with candidate experience and organizational guidelines***

Position	Senior Data Scientist – Marketing
Reports to	Data Science Manager

Summary

We are seeking a highly skilled and motivated Senior Data Scientist - Marketing to lead the development of our next-generation marketing analytics ecosystem. This role will be pivotal in directing the setup of our marketing data analytics infrastructure, focusing on building the underlying algorithms and processes that provide: attribution, ROI, web analytics, and experimentation. The ideal candidate brings deep expertise in machine learning, AI‑driven optimization, and scalable data product development, along with the ability to influence stakeholders, partner with data engineering, and elevate the sophistication of our marketing measurement framework.

Responsibilities

Lead the design and implementation of data science products to analyze marketing performance with a specific focus on predictive modeling, causal inference, and ROI forecasting.
Identify, engineer, and govern the critical data elements required to support a robust, multi‑touch attribution ecosystem.
Collaborate with the data engineering team to design and recommend data structures that facilitate efficient data analysis for several foundational marketing functions: ROI, web analytics, and experimentation.
Drives marketing strategy through effective execution of projects. Ensures data products drive decision making by demonstrating their efficacy and fostering a business understanding of value provided.
Build and operationalize machine learning models—including attribution algorithms, uplift models, next‑best-action logic, and automated optimization pipelines—to drive continuous improvement across the marketing funnel.
Proactively identifies actionable solutions to business pain points or previously untapped opportunities. Presents, discusses and debates findings with stakeholders and leadership – including the Executive Team.
Stays up to date with the latest trends and best practices in data science and marketing analytics.
Mentor and guide junior data scientists and analysts within the team.

Requirements

6+ years of experience in data science, with a focus on marketing analytics.
Expert-level proficiency in Python, SQL, and modern ML frameworks (scikit-learn, TensorFlow, PyTorch)
Strong understanding and proven experience working with and developing: attribution models, channel and campaign-level ROI, and automated experimentation pipelines.
Deep understanding of the full machine learning lifecycle: data preparation, model selection, training, evaluation, deployment and continuous integration.
Excellent problem-solving skills and attention to detail.
Strong communication skills, with the ability to present complex data insights to non-technical stakeholders.

Stand-out assets:

MS/Ph.D. in Data Science, Statistics, Computer Science or related field.
Demonstrated experience building an experimentation framework from the ground up.
Experience working within the Google Analytics suite.
Experience in MLOps, working with infrastructure teams to deploy machine learning models.
Previous experience in the finance and/or nonprofit sectors.

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