Lead Data Scientist - Onsite, Multi-Location Impact

AT&T; Dallas, Northern (TX, KY); Hybrid; USD 161,000 - 270,000; Full time

Benefits offered by this job

Medical/Dental/Vision coverage

401(k) plan

Tuition reimbursement program

Paid Time Off and Holidays

Paid Parental Leave

Paid Caregiver Leave

Adoption Reimbursement

Disability Benefits

Life and Accidental Death Insurance

Employee discounts

Job summary

AT&T is seeking a Lead Data Scientist to translate complex business problems into scalable data science solutions across the full AI workflow, including data extraction, feature engineering, model development, and deployment.

The role collaborates with cross-functional teams, emphasizes explainability and monitoring of models in production, and offers extensive perks and a path to impact across AT&T's data platforms.

Qualifications

• Master's degree in a quantitative field such as Data Science, Math, Statistics, Engineering or Physics.
• 5+ years of related experience.
• Certification is required in some areas.

Responsibilities

• Data Extraction and Preparation: collect data from various sources and ensure its quality.
• Coding Solutions, Algorithms and Feature Engineering: develop features and perform exploratory data analysis with Python/R/Scala.
• Model Development, Deployment and Optimization: build, evaluate, and deploy ML models with monitoring and retraining.
• Visualization and Collaboration: create visualizations and reports for stakeholders with cross-functional teams.
• Generative AI: develop and implement generative models and related techniques.

Skills

Data extraction

Data cleaning

Feature engineering

EDA

Model development

ML Ops

Python

R

Spark

Pandas

PyTorch

Education

Master's degree in a quantitative field

Certification in data science or related field

Tools

Databricks

VS Code

Scikit-Learn

TensorFlow

Keras

Pandas

PyTorch

Job description

AT&T is seeking a Lead Data Scientist to translate complex business problems into scalable data science solutions across the full AI workflow, including data extraction, feature engineering, model development, and deployment.

The role collaborates with cross-functional teams, emphasizes explainability and monitoring of models in production, and offers extensive perks and a path to impact across AT&T's data platforms.