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About the Role

This role co-owns critical AI deliverables for AT&T Finance Operations, supporting Treasury/Payments, Billing Operations, and Corporate Financial Planning. You will translate business problems into actionable insights through a comprehensive workflow involving data extraction, feature engineering, model creation, and deployment to drive informed decision-making.

Responsibilities

• Collect and clean data from structured and unstructured sources including datalakes and warehouses.
• Design and build complex data sets for strategic use.
• Perform exploratory data analysis and feature engineering.
• Develop, tune, and deploy machine learning models into production.
• Monitor model performance and implement ML ops for diagnosis and resolution.
• Create visualizations and reports for stakeholders.
• Collaborate with cross-functional teams to align efforts with business objectives.
• Develop and implement generative AI models including GANs, VAEs, and Transformers.
• Apply prompt engineering and retrieval-augmented generation (RAG) techniques.
• Lead moderate-sized projects with strategic value.
• Guide others by applying advanced principles and company practices.

Requirements

• Minimum of 5 days per week office presence.
• 3+ years of related experience.
• Master's degree in a quantitative field such as Data Science, Math, Statistics, Engineering, or Physics.
• Certification required in some areas.
• Proficiency in at least one data science language (Python, R, Scala).
• Expertise with modern ML packages and libraries (Spark, SciKitLearn, Pandas, PyTorch, TidyVerse, Tensorflow, Keras, Shiny, AutoML).
• Experience with IDEs such as Databricks Workspaces or Visual Studio Code.
• Understanding of agentic architecture and optimization.

Skills

• Statistical analysis
• Machine learning
• Big data technologies
• Supervised and Unsupervised Learning
• Optimization Algorithms
• Deep Learning
• AI-Computer Vision
• Natural Language Processing
• Deep Reinforcement Learning
• Search Algorithms
• AI-Knowledge Graphs
• Generative AI
• Prompt Engineering
• Retrieval-Augmented Generation (RAG)
• Data visualization (ggplot, D3.js)

Location

• Atlanta, Georgia
• Dallas, Texas

Work Type

• Full-time
• Regular
• Onsite

Experience Level

• Experienced professional

Education Level

• Master's degree (MS/MA) in a quantitative field

Salary/Compensations

• $139,000.00 - $233,500.00 USD

Benefits

• Medical, Dental, and Vision coverage
• 401(k) plan
• Tuition reimbursement program
• Paid Time Off and Holidays (at least 23 days vacation and 9 holidays)
• Paid Parental Leave
• Paid Caregiver Leave
• 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)
• Employee wellness programs
• Employee discounts on AT&T mobility, internet, and phone services

About the Company

• AT&T is a pioneer in telecommunications with nearly 150 years of history.
• The company focuses on bringing families, communities, and businesses together through 5G, Fiber, and innovative connectivity solutions.

Equal Opportunity

• AT&T provides equal employment opportunity to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by law.
• AT&T provides reasonable accommodations for qualified individuals with disabilities.
• AT&T is a fair chance employer.