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.

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

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonSparkSQLmachine learningRegressionclassificationClusteringsegmentationTime seriesforecasting

Soft Skills

communicationcollaborationmentorshipanalytical thinkingpresentation skills

Certifications

Master’s degreePh.D.