AT&T
Job Description:
This position requires office presence of a minimum of 5 days per week and is only located in the location(s) posted. No relocation is offered.
At AT&T, we empower leaders to drive change in a fast evolving, connected world. Your strategic vision will help serve customers and transform lives through innovative solutions and impactful connections.
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.
This role will deliver Data Science solutions for Finance clients across Billing Operations, Treasury, Payments & Credit Risk.
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. Designs, builds, and analyzes large (e.g. 100’s of Terabytes or higher as technology advances) and complex data sets while thinking strategically about data use and data design.
Coding Solutions, Algorithms and Feature Engineering:
Create relevant features and conduct exploratory data analysis. Codes solutions following typical workflow; data extraction, cleansing, feature engineering, exploratory data analysis, model selection/creation, hyper-parameter tuning, model interpretation, model retraining, business process and/or system implementations, high level proof of concept and trials, visualization, deployment to production, post deployment ML ops monitoring/diagnosis/resolutions. Coding proficiency required in at least one data science language (Python, R, Scala, etc.), as well as expertise with modern ML packages and libraries (Spark, SciKitLearn, Pandas, PyTorch, TidyVerse, Tensorflow, Keras, Shiny, and/or AutoML tools).
Model Development, Deployment and Optimization:
Build, evaluate, and optimize machine learning models through hyperparameter tuning. Implement models into production, continuously monitor their performance, and ensure they remain explainable and reliable to minimize model decay. Ability to develop custom Machine Learning (ML). Highly proficient in the full AI workflow such as (1) data extraction, cleansing, feature engineering, exploratory data analysis, model selection/creation, hyperparameter 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.
Visualization and Collaboration:
Create visualizations and reports for stakeholders while working closely with cross-functional teams to align efforts with business objectives. Can utilize advanced coding methods to produce visualizations (e.g. ggplot, D3.js, etc.).
Generative AI:
Develop and implement generative AI models, focusing on creating new content or augmenting existing data. Knowledge of GANs, VAEs, Transformers, fine‑tuning techniques, agentic architecture, prompt engineering, retrieval‑augmented generation, text generation with GPT‑3/4, image generation with DALL‑E and Stable Diffusion.
Job Contribution: An expert in their field, applying broad business knowledge and strategic insight surrounding emerging trends and technologies to solve complex problems and drive organizational results. Leads critical, high‑impact projects and designs/implements innovative business strategies. Works with minimal oversight, frequently consulting senior leadership and influencing executive decisions. Serves as a mentor and assists others with challenging issues.
Education/Experience: Master's degree (MS/MA) required from an accredited University in a Quantitative field of study such as Data Science, Math, Statistics, Engineering or Physics. 7+ years of related experience.
Supervisor: No
Our Principal Data Scientist earns between $160,900 - $270,400. Individual starting salary within this range may depend on geography, experience, expertise, and education/training.
Joining our team comes with amazing perks and benefits:
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
If you’re ready to make an impact on our business and your career, bring your bold ideas to a world of possibility.
Apply today!
Weekly Hours:
40
Time Type:
Regular
Location:
Atlanta, Georgia
Salary Range:
$160,900.00 - $270,400.00
It is the policy of AT&T to provide equal employment opportunity (EEO) 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 federal, state or local law. In addition, 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.
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This position requires office presence of a minimum of 5 days per week and is only located in the location(s) posted. No relocation is offered.
At AT&T, we empower leaders to drive change in a fast evolving, connected world. Your strategic vision will help serve customers and transform lives through innovative solutions and impactful connections.
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.
This role will deliver Data Science solutions for Finance clients across Billing Operations, Treasury, Payments & Credit Risk.
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. Designs, builds, and analyzes large (e.g. 100’s of Terabytes or higher as technology advances) and complex data sets while thinking strategically about data use and data design.
Coding Solutions, Algorithms and Feature Engineering:
Create relevant features and conduct exploratory data analysis. Codes solutions following typical workflow; data extraction, cleansing, feature engineering, exploratory data analysis, model selection/creation, hyper-parameter tuning, model interpretation, model retraining, business process and/or system implementations, high level proof of concept and trials, visualization, deployment to production, post deployment ML ops monitoring/diagnosis/resolutions. Coding proficiency required in at least one data science language (Python, R, Scala, etc.), as well as expertise with modern ML packages and libraries (Spark, SciKitLearn, Pandas, PyTorch, TidyVerse, Tensorflow, Keras, Shiny, and/or AutoML tools).
Model Development, Deployment and Optimization:
Build, evaluate, and optimize machine learning models through hyperparameter tuning. Implement models into production, continuously monitor their performance, and ensure they remain explainable and reliable to minimize model decay. Ability to develop custom Machine Learning (ML). Highly proficient in the full AI workflow such as (1) data extraction, cleansing, feature engineering, exploratory data analysis, model selection/creation, hyperparameter 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.
Visualization and Collaboration:
Create visualizations and reports for stakeholders while working closely with cross-functional teams to align efforts with business objectives. Can utilize advanced coding methods to produce visualizations (e.g. ggplot, D3.js, etc.).
Generative AI:
Develop and implement generative AI models, focusing on creating new content or augmenting existing data. Knowledge of GANs, VAEs, Transformers, fine‑tuning techniques, agentic architecture, prompt engineering, retrieval‑augmented generation, text generation with GPT‑3/4, image generation with DALL‑E and Stable Diffusion.
Job Contribution: An expert in their field, applying broad business knowledge and strategic insight surrounding emerging trends and technologies to solve complex problems and drive organizational results. Leads critical, high‑impact projects and designs/implements innovative business strategies. Works with minimal oversight, frequently consulting senior leadership and influencing executive decisions. Serves as a mentor and assists others with challenging issues.
Education/Experience: Master's degree (MS/MA) required from an accredited University in a Quantitative field of study such as Data Science, Math, Statistics, Engineering or Physics. 7+ years of related experience.
Supervisor: No
Our Principal Data Scientist earns between $160,900 - $270,400. Individual starting salary within this range may depend on geography, experience, expertise, and education/training.
Joining our team comes with amazing perks and benefits:
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
If you’re ready to make an impact on our business and your career, bring your bold ideas to a world of possibility.
Apply today!
Weekly Hours:
40
Time Type:
Regular
Location:
Atlanta, Georgia
Salary Range:
$160,900.00 - $270,400.00
It is the policy of AT&T to provide equal employment opportunity (EEO) 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 federal, state or local law. In addition, 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.
#J-18808-Ljbffr