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Vanguard Charitable · 8 hours ago

Senior Data Scientist

Malvern, PA

Full-time

Onsite

Senior Level

6+ years exp

Vanguard Charitable is seeking a highly skilled and motivated Senior Data Scientist - Marketing to lead the development of their next-generation marketing analytics ecosystem. This role will focus on building the underlying algorithms and processes for marketing data analytics, including attribution, ROI, web analytics, and experimentation.

Association

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

Qualification

PythonSQLMachine LearningAttribution ModelsData ScienceCommunication SkillsProblem-Solving

Required

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