Lead Data Scientist

This position requires office presence of a minimum of 5 days per week and is only located in the location(s) posted. No relocation is offered.

AT&T is one of the world’s leading telecommunications and technology companies, serving millions of consumers and businesses across the United States. We are investing heavily in data, analytics, and machine learning to improve customer experiences, optimize decision‑making, and support long‑term business strategy at scale.

Why Join AT&T Data Science:

AT&T data scientists work on complex, high‑impact problems that influence real business outcomes. As part of the data science organization, you’ll partner with cross‑functional teams across marketing, forecasting, pricing, and strategy—using data and machine learning to improve customer experiences and drive growth at mass‑market scale.

As a Lead Data Scientist
, you will be responsible for building, deploying, and maintaining predictive machine learning models that support marketing activities across the customer lifecycle
.

You will also contribute to data science initiatives that inform business strategy, including offer optimization, forecasting, and pricing
.

In this role, you will own end‑to‑end data science solutions, from problem definition and modeling to measurement and stakeholder communication, while serving as a technical leader within project teams.

Key Responsibilities:

• Design, develop, and deploy predictive and machine learning models to support:
  Customer lifecycle marketing (acquisition, retention and save) Offer and promotion optimization, Pricing and Forecasting and performance tracking
• Use Python, Spark, and SQL
  to extract, transform, and analyze large‑scale datasets, ensuring data accuracy, quality, and reproducibility.
• Partner closely with marketing, forecasting, pricing, and strategy teams
  to translate business requirements into actionable data science solutions.
• Measure and evaluate model performance and business impact, including campaign effectiveness and targeting efficiency.
• Contribute to the continuous improvement of data science methodologies, tools, and analytical processes.
• Communicate analytical findings and recommendations through clear documentation, visualizations, and presentations tailored to diverse audiences.
• Provide technical guidance and informal mentorship to peers through code reviews, modeling discussions, and best‑practice sharing.
• Apply working knowledge of Large Language Models (LLMs) and AI agent concepts
  to enhance analytics workflows, insight generation, or decision support where appropriate.
• Stay current with advancements in data science, machine learning, marketing science, and applied AI.

COMPENSATION OFFERED:

Our Lead Data Scientist
earns between $160,900 - $270,400 USD Annual. Not to mention all the other amazing rewards that working at AT&T offers. Individual starting salary within this range may depend on geography, experience, expertise, and education/training.

Required Qualifications:

• Advanced degree (Master’s or Ph.D.) in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field, with 5+ years of applied data science experience
  .
• Strong hands‑on experience in data science, particularly in marketing analytics, customer analytics, pricing, or forecasting
  .
• Proficiency in Python, Spark, and SQL
  for data analysis and model development.
• Solid understanding of machine learning techniques, including Regression and classification Clustering and segmentation Time series and forecasting methods
• Experience developing and deploying models used in marketing campaigns, offer strategies, pricing analysis, or forecasting
  .
• Strong communication skills and ability to collaborate effectively with cross‑functional partners.
• This role is critical to maintaining and operating core BB predictive models, including Prospects propensity to buy Fiber/AIA, Fiber customers cross‑sell Wireless propensity/uplift, BB/Fiber Vol churn, upgrade, and mover propensity models, total 20 models
  . With ongoing BSS migration, these models require extensive and continuous maintenance to address possible data structure changes, product changes during migration.

Preferred Qualifications:

• Experi…