Lead Data Scientist

Role Overview

• 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.

Requirements

• 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.

Tech Stack

• Python
• Spark
• SQL

Benefits

• Medical/Dental/Vision coverage
• 401(k) plan
• Tuition reimbursement program
• Paid Time Off and Holidays (based on date of hire, at least 23 days of vacation each year and 9 company-designated holidays)
• Paid Parental Leave
• Paid Caregiver Leave
• Additional sick leave beyond what state and local law require may be available but is unprotected
• Adoption Reimbursement
• Disability Benefits (short term and long term)
• Life and Accidental Death Insurance
• Supplemental benefit programs: critical illness/accident hospital indemnity/group legal
• Employee Assistance Programs (EAP)
• Extensive employee wellness programs
• Employee discounts up to 50% off on eligible AT&T mobility plans and accessories, AT&T internet (and fiber where available) and AT&T phone