Data Scientist

ADT • Irving, TX

1d • Remote

About The Position

The Data Scientist, Marketing Analytics serves as an analytical authority on ADT’s marketing efforts, translating customer, campaign, and media data into predictive, actionable insights. The role connects advanced data science with strategic marketing operations to address business challenges such as predicting high-value customer acquisitions, optimizing media spend, and supporting growth, customer lifetime value (LTV), and digital personalization objectives.

The position combines machine learning, statistical modeling, and data engineering with knowledge of consumer behavior, marketing technology, and executive communication. The Data Scientist works with the Marketing Analytics Leader, data analysts, data engineers, and channel managers to build scalable, evidence-based solutions that influence customer acquisition and retention strategies.

Requirements

• Bachelor’s degree or equivalent experience in Analytics, Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.
• At least 3 years of directly applicable experience in data science, predictive modeling, and building end-to-end data pipelines in a marketing or customer acquisition context.
• Advanced proficiency in Python, including deep experience with 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, including Paid Search, Paid Social, and Programmatic; web analytics platforms such as Google Analytics or Adobe Analytics; and MarTech/AdTech ecosystems.
• Ability to navigate dynamic, fast-paced, entrepreneurial environments with ambiguous or evolving project requirements.
• Familiarity with Customer Data Platforms (CDPs) supporting no-code/low-code marketer-driven target audiences.
• Communication involving writing and talking/hearing on the phone continually (67–100% of the workday).
• Ability to work in a remote/home-office environment continually (67–100% of the workday).

Nice To Haves

• Master’s degree.

Responsibilities

• Apply statistical methods, machine learning, and clustering to predict customer lifetime value, model acquisition propensity, and identify churn risk.
• Support development of Marketing Mix Modeling and multi-touch attribution frameworks to help business leaders understand and act on marketing efficiency issues.
• Design and execute research and hypothesis testing, including A/B and multivariate tests, for digital marketing campaigns, creative assets, and landing page personalization.
• Translate complex statistical findings into clear visualizations and narratives that support executive strategy, action, and decision-making.
• Collaborate with data platform and engineering teams to design, implement, and maintain data pipelines integrating ad-platform APIs, web analytics, and offline sales data into a single source of truth.
• Implement and champion data privacy standards and ethical data collection practices while navigating consumer privacy regulations such as CCPA/CPRA and cookie changes.
• Partner with Brand, Digital Media, Demand Gen, and Product Marketing teams to turn marketing challenges into structured, measurable data science initiatives.
• Stay current with marketing technology trends, MLOps practices, and innovative data sources to advance analytical maturity from descriptive reporting to prescriptive action.
• Create and define customer personas and segments to deliver personalized experiences throughout the customer lifecycle.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level