Director, Data Science

AT&T

Director of Data Science responsible for leading a large team to drive data-driven insights at AT&T. Overseeing modeling, analytics, and generative AI projects to innovate solutions.

Posted 5/14/2026full-timeDallas • Texas • 🇺🇸 United StatesLead💰 $241,500 - $362,300 per yearWebsite

Tech Stack

Tools & technologies

KerasPandasPythonPyTorchScalaSparkTensorflow

About the role

Key responsibilities & impact

Directs and leads a large team of professionals who translate business problems into actionable insights through a comprehensive workflow involving coding, data extraction, cleansing, feature engineering, exploratory data analysis, model creation and tuning, visualization, and deployment, leveraging statistical analysis, machine learning, and big data technologies to drive informed decision-making and innovation.
Collect data from various structured and unstructured sources and ensure its quality for analysis through cleaning and preprocessing.
Codes solutions following typical workflow including data extraction, cleansing, feature engineering, exploratory data analysis, model selection/creation, hyper-parameter tuning, model interpretation, model retraining, visualization, deployment to production, post deployment monitoring.
Build, evaluate, and optimize machine learning models through hyperparameter tuning and continuously monitor their performance.
Create visualizations and reports for stakeholders while working closely with cross-functional teams to align efforts with business objectives.
Develop and implement generative AI models, focusing on creating new content or augmenting existing data.

Requirements

What you’ll need

Master's degree (MS/MA) desired from an accredited University in a Quantitative field of study such as Data Science, Math, Statistics, Engineering or Physics
10+ years of related experience
Coding proficiency required in at least one data science language (Python, R, Scala, etc.)
Expertise with modern ML packages and libraries (Spark, SciKitLearn, Pandas, PyTorch, TidyVerse, Tensorflow, Keras, Shiny, and/or AutoML tools)
Highly proficient in the full AI workflow such as (1) data extraction, cleansing, feature engineering, exploratory data analysis, model selection/creation, hyper-parameter tuning, model interpretation, model retraining and (2) Uses concepts like mlflow to log metrics.
Well-versed in Interactive Development Environments (IDEs) such as Databricks Workspaces or Visual Studio Code.
Proficiency in algorithm categories such as Supervised Learning, Unsupervised Learning, Optimization Algorithms, Deep Learning, AI-Computer Vision, Natural Language Processing, Deep Reinforcement Learning, Search Algorithms, and AI- Knowledge Graphs.

Benefits

Comp & perks

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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

PythonRScalaSparkSciKitLearnPandasPyTorchTensorflowKerasAutoML

Soft Skills

leadershipcommunicationcollaborationproblem-solvinganalytical thinking

Certifications

Master's degree in Data ScienceMaster's degree in MathMaster's degree in StatisticsMaster's degree in EngineeringMaster's degree in Physics