AT&T
Overview
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.
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. Tools can include data platforms and related technologies.
Coding Solutions, Algorithms and Feature Engineering:
Create relevant features and conduct exploratory data analysis. Code solutions following typical workflow: data extraction, cleansing, feature engineering, exploratory data analysis, model selection/creation, hyper-parameter tuning, model interpretation, model retraining, and deployment to production with ML ops monitoring. Proficiency in at least one data science language (Python, R, Scala, etc.) and experience with libraries and tools (e.g., Spark, SciKit-Learn, Pandas, PyTorch, TensorFlow, Keras, Shiny, and AutoML tools).
Model Development, Deployment and Optimization:
Build, evaluate, and optimize machine learning models through hyperparameter tuning. Implement models into production, monitor performance, and ensure explainability and reliability to minimize model decay. Develop custom ML solutions and utilize the full AI workflow (data extraction, cleansing, feature engineering, EDA, model selection/creation, hyper-parameter tuning, model interpretation, retraining). Experience with tools like mlflow and environments such as Databricks or VS Code. Knowledge of algorithm categories including Supervised/Unsupervised Learning, Optimization Algorithms, Deep Learning, AI-related domains, and Knowledge Graphs.
Visualization and Collaboration:
Create visualizations and reports for stakeholders and collaborate with cross-functional teams to align with business objectives. Ability to produce visualizations using methods such as ggplot or D3.js.
Generative AI:
Develop and implement generative AI models, focusing on creating new content or augmenting data. Knowledge of GANs, VAEs, Transformers, fine-tuning techniques, retrieval-augmented generation (RAG), prompt engineering, text and image generation tools (e.g., GPT-3/4, DALL-E, Stable Diffusion).
Job Contribution An experienced professional, recognized as an expert, creatively resolving complex issues with broad and in-depth knowledge. Leads significant projects with strategic autonomy, influencing executive decisions. Mentors less experienced staff, implements long-term plans impacting the organization, and frequently collaborates with senior leadership.
Education/Experience Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Human Resources, or related field. 5+ years of relevant job experience.
Compensation and Benefits Our Lead Data Scientist earns between $171,600 - $257,400 USD annual. Individual starting salary within this range may depend on geography, experience, expertise, and education/training.
Joining and Perks Joining our team comes with amazing perks and benefits:
Medical/Dental/Vision coverage
401(k) plan
Tuition reimbursement program
Paid Time Off and Holidays
Paid Parental Leave
Paid Caregiver Leave
Additional sick leave beyond state/local requirements may be available but is unprotected
Adoption Reimbursement
Disability Benefits (short/long term)
Life and Accidental Death Insurance
Supplemental benefit programs and employee assistance programs
Wellness programs and employee discounts on AT&T products and services
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:
Dallas, Texas
Salary Range:
$171,600.00 - $257,400.00
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. 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.
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. Tools can include data platforms and related technologies.
Coding Solutions, Algorithms and Feature Engineering:
Create relevant features and conduct exploratory data analysis. Code solutions following typical workflow: data extraction, cleansing, feature engineering, exploratory data analysis, model selection/creation, hyper-parameter tuning, model interpretation, model retraining, and deployment to production with ML ops monitoring. Proficiency in at least one data science language (Python, R, Scala, etc.) and experience with libraries and tools (e.g., Spark, SciKit-Learn, Pandas, PyTorch, TensorFlow, Keras, Shiny, and AutoML tools).
Model Development, Deployment and Optimization:
Build, evaluate, and optimize machine learning models through hyperparameter tuning. Implement models into production, monitor performance, and ensure explainability and reliability to minimize model decay. Develop custom ML solutions and utilize the full AI workflow (data extraction, cleansing, feature engineering, EDA, model selection/creation, hyper-parameter tuning, model interpretation, retraining). Experience with tools like mlflow and environments such as Databricks or VS Code. Knowledge of algorithm categories including Supervised/Unsupervised Learning, Optimization Algorithms, Deep Learning, AI-related domains, and Knowledge Graphs.
Visualization and Collaboration:
Create visualizations and reports for stakeholders and collaborate with cross-functional teams to align with business objectives. Ability to produce visualizations using methods such as ggplot or D3.js.
Generative AI:
Develop and implement generative AI models, focusing on creating new content or augmenting data. Knowledge of GANs, VAEs, Transformers, fine-tuning techniques, retrieval-augmented generation (RAG), prompt engineering, text and image generation tools (e.g., GPT-3/4, DALL-E, Stable Diffusion).
Job Contribution An experienced professional, recognized as an expert, creatively resolving complex issues with broad and in-depth knowledge. Leads significant projects with strategic autonomy, influencing executive decisions. Mentors less experienced staff, implements long-term plans impacting the organization, and frequently collaborates with senior leadership.
Education/Experience Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Human Resources, or related field. 5+ years of relevant job experience.
Compensation and Benefits Our Lead Data Scientist earns between $171,600 - $257,400 USD annual. Individual starting salary within this range may depend on geography, experience, expertise, and education/training.
Joining and Perks Joining our team comes with amazing perks and benefits:
Medical/Dental/Vision coverage
401(k) plan
Tuition reimbursement program
Paid Time Off and Holidays
Paid Parental Leave
Paid Caregiver Leave
Additional sick leave beyond state/local requirements may be available but is unprotected
Adoption Reimbursement
Disability Benefits (short/long term)
Life and Accidental Death Insurance
Supplemental benefit programs and employee assistance programs
Wellness programs and employee discounts on AT&T products and services
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:
Dallas, Texas
Salary Range:
$171,600.00 - $257,400.00
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. 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