Data Scientist

Role Overview

The Data Scientist serves as a core analytical authority on ADT’s marketing efforts, translating complex customer, campaign, and media data into high-value, predictive, and actionable insights.

What You Will Do

The ideal candidate will work alongside stakeholders to solve critical business problems like predicting high-value customer acquisitions, optimizing media spend, and supporting our company’s growth, customer lifetime value (LTV), and digital personalization objectives.

Why It Might Be a Fit

The ideal candidate combines strong technical capabilities in machine learning, statistical modeling, and data engineering with an understanding of consumer behavior, marketing technology (MarTech), and executive storytelling.

Requirements

• Bachelor’s degree (or equivalent experience) in Analytics, Computer Science, Statistics, Mathematics, Economics, or a related highly quantitative field.
• 3+ years of directly applicable experience in data science, predictive modeling, and building end-to-end data pipelines within a marketing or customer acquisition context.
• Advanced proficiency in Python with deep experience in data modeling packages.
• Advanced SQL skills and experience manipulating high-dimensional consumer datasets.
• Proficiency using Vertex AI/Colab notebooks.
• Solid understanding of digital marketing channels (Paid Search, Paid Social, Programmatic), web analytics platforms (e.g., Google Analytics, Adobe Analytics), and MarTech/AdTech ecosystems.
• Proven ability to navigate dynamic, fast-paced, and entrepreneurial environments with ambiguous or evolving project requirements.
• Familiarity with Customer Data Platforms (CDP) in supporting no code/low code Marketer driven target audiences.