Lead Data Scientist

AT&T

Lead Data Scientist developing and optimizing survival models for customer lifetime value at AT&T. Collaborating across teams and leveraging large datasets for business insights.

Posted 5/19/2026full-timeAtlanta • Texas • 🇺🇸 United StatesSenior💰 $171,600 - $257,399 per yearWebsite

Tech Stack

Tools & technologies

CloudNumpyPandasPySparkPythonScikit-LearnSparkSQL

About the role

Key responsibilities & impact

Lead the development, deployment, and optimization of survival models for broadband, AT&T Fiber, and AT&T Internet Air customers to support customer lifetime value estimation and strategic business decisions.
Translate complex business problems into actionable insights through end-to-end data science workflows, including data extraction, cleansing, feature engineering, exploratory data analysis, model development, tuning, interpretation, deployment, and ongoing model monitoring.
Design, build, and analyze large, complex data sets from structured and unstructured sources, including data lakes, databases, cloud platforms, and enterprise data environments, while ensuring data quality, integrity, and usability.
Use simulation techniques and statistical analysis to identify key drivers of customer survival, interpret model outputs, and deliver clear, actionable recommendations to business stakeholders.
Develop scalable coding solutions using Python and PySpark/Spark, with proficiency in modern machine learning libraries and frameworks to support robust model development and production-ready implementation.
Work across big data platforms such as Databricks and Snowflake to support data processing, model development, experimentation, and deployment in large-scale analytics environments.
Partner closely with cross-functional teams to communicate findings, align analytical solutions with business objectives, and support enterprise innovation through advanced analytics and machine learning.
Provide leadership on complex data science initiatives by mentoring less experienced team members, influencing strategic direction, and driving high-impact projects across multiple organizations and lines of business.

Requirements

What you’ll need

Strong proficiency in Python, including scikit-learn, pandas, and NumPy, as well as PySpark/Spark and Databricks ML.
Deep expertise in SQL, Databricks, and Snowflake, with demonstrated experience building and owning scalable data pipelines.
Strong knowledge of survival modeling techniques, machine learning methods, and applied statistical analysis.
Strong data visualization, storytelling, and communication skills, with the ability to translate complex analyses into clear, actionable business recommendations.
Experience with MLflow or similar model management and MLOps tools for experiment tracking, deployment, and monitoring.
Master’s degree from an accredited university in a quantitative field such as Data Science, Mathematics, Statistics, Engineering, or Physics.
5+ years of relevant experience in data science, machine learning, advanced analytics, or a related field.

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

PythonPySparkSparkscikit-learnpandasNumPySQLsurvival modelingmachine learningstatistical analysis

Soft Skills

data visualizationstorytellingcommunicationmentoringleadershipcollaborationanalytical thinkingproblem-solvinginfluencingbusiness acumen

Certifications

Master’s degree in Data ScienceMaster’s degree in MathematicsMaster’s degree in StatisticsMaster’s degree in EngineeringMaster’s degree in Physics