AT&T
Principal Data Scientist
At AT&T, we empower leaders to drive change in a fast evolving, connected world. As a Principal Data Scientist, you will 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.
Key Roles and Responsibilities
Data Extraction and Preparation: Collect data from various structured and unstructured sources (datalakes, databases, data warehouses, on cloud, internal, external) and ensure its quality for analysis through cleaning and preprocessing. Design, build, and analyze large and complex data sets while thinking strategically about data use and data design.
Coding Solutions, Algorithms and Feature Engineering: Create relevant features, conduct exploratory data analysis, and implement model selection/creation, hyper‑parameter tuning, model interpretation, retraining, business process and/or system implementations, high level proof of concept, visualizations, and deployment to production. Coding proficiency required in at least one data science language (Python, R, Scala, etc.) and expertise with modern ML packages and libraries (Spark, SciKitLearn, Pandas, PyTorch, TidyVerse, Tensorflow, Keras, Shiny, AutoML tools).
Model Development, Deployment and Optimization: Build, evaluate, and optimize machine learning models through hyper‑parameter tuning. Implement models into production, continuously monitor their performance, and ensure they remain explainable and reliable to minimize model decay.
Visualization and Collaboration: Create visualizations and reports for stakeholders while working closely with cross‑functional teams to align efforts with business objectives. Utilize advanced coding methods to produce visualizations (e.g. ggplot, D3.js).
Generative AI: Develop and implement generative AI models, focusing on creating new content or augmenting existing data. Understand GANs, VAEs, Transformers, fine‑tuning techniques, agentic architecture, prompt engineering, retrieval‑augmented generation, text generation, image generation (DALL‑E, Stable Diffusion).
Education and Experience
Master’s degree (MS/MA) in a quantitative field such as Data Science, Mathematics, Statistics, Engineering, or Physics.
7+ years of related experience.
Compensation and Benefits Principal Data Scientist earns between $160,900 and $270,400. Individual starting salary may depend on geography, experience, expertise, and education/training. Weekly hours: 40. Time type: Regular. Location: Atlanta, Georgia.
Medical/Dental/Vision coverage
401(k) plan
Tuition reimbursement program
Paid Time Off and Holidays (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
Equal Employment Opportunity AT&T provides equal employment opportunity to all persons regardless of characteristics protected by law. AT&T will provide reasonable accommodations for qualified individuals with disabilities. AT&T is a fair chance employer and does not initiate a background check until an offer is made.
Apply today! Referrals increase your chances of interviewing at AT&T by 2x.
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Key Roles and Responsibilities
Data Extraction and Preparation: Collect data from various structured and unstructured sources (datalakes, databases, data warehouses, on cloud, internal, external) and ensure its quality for analysis through cleaning and preprocessing. Design, build, and analyze large and complex data sets while thinking strategically about data use and data design.
Coding Solutions, Algorithms and Feature Engineering: Create relevant features, conduct exploratory data analysis, and implement model selection/creation, hyper‑parameter tuning, model interpretation, retraining, business process and/or system implementations, high level proof of concept, visualizations, and deployment to production. Coding proficiency required in at least one data science language (Python, R, Scala, etc.) and expertise with modern ML packages and libraries (Spark, SciKitLearn, Pandas, PyTorch, TidyVerse, Tensorflow, Keras, Shiny, AutoML tools).
Model Development, Deployment and Optimization: Build, evaluate, and optimize machine learning models through hyper‑parameter tuning. Implement models into production, continuously monitor their performance, and ensure they remain explainable and reliable to minimize model decay.
Visualization and Collaboration: Create visualizations and reports for stakeholders while working closely with cross‑functional teams to align efforts with business objectives. Utilize advanced coding methods to produce visualizations (e.g. ggplot, D3.js).
Generative AI: Develop and implement generative AI models, focusing on creating new content or augmenting existing data. Understand GANs, VAEs, Transformers, fine‑tuning techniques, agentic architecture, prompt engineering, retrieval‑augmented generation, text generation, image generation (DALL‑E, Stable Diffusion).
Education and Experience
Master’s degree (MS/MA) in a quantitative field such as Data Science, Mathematics, Statistics, Engineering, or Physics.
7+ years of related experience.
Compensation and Benefits Principal Data Scientist earns between $160,900 and $270,400. Individual starting salary may depend on geography, experience, expertise, and education/training. Weekly hours: 40. Time type: Regular. Location: Atlanta, Georgia.
Medical/Dental/Vision coverage
401(k) plan
Tuition reimbursement program
Paid Time Off and Holidays (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
Equal Employment Opportunity AT&T provides equal employment opportunity to all persons regardless of characteristics protected by law. AT&T will provide reasonable accommodations for qualified individuals with disabilities. AT&T is a fair chance employer and does not initiate a background check until an offer is made.
Apply today! Referrals increase your chances of interviewing at AT&T by 2x.
#J-18808-Ljbffr