Sr Data Scientist

AT&T; Dallas (TX); On-site; USD 155,700 - 233,500; 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

Disability Benefits

Employee discounts

Job summary

A leading telecommunications company in Dallas, Texas, seeks a Senior Data Scientist to leverage advanced analytics and machine learning. This role involves analyzing workforce data, developing predictive models, and collaborating with cross-functional teams. Ideal candidates possess a Bachelor’s or Master’s degree in a relevant field and over 5 years of experience. The position offers a salary range of $155,700 - $233,500, and multiple benefits, including medical coverage and 401(k) plans.

Qualifications

• 5+ years of relevant job experience.
• Proficiency in at least one data science language.
• Experience with modern ML packages and libraries.

Responsibilities

• Leverage advanced analytics and machine learning.
• Analyze workforce data and develop predictive models.
• Create visualizations and reports for stakeholders.

Skills

Data extraction and preparation

Machine learning

Data visualization

Python

Deep Learning

Education

Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or related field

Tools

Python

Spark

SciKitLearn

Tensorflow

D3.js

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.

Overall Purpose

This position will leverage advanced analytics, machine learning, and statistical modeling to inform and optimize human resources strategies. This role will analyze workforce data, uncover actionable insights, and develop predictive models that drive talent acquisition, employee retention, engagement, and organizational effectiveness. This role will partner with many other areas of HR and directly with other business units to identify questions and build solutions.

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. Tools can include
• 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, hyper-parameter 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. Generative Models - Understanding of GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and Transformers. Fine-Tuning Techniques for adapting pre-trained models to specific tasks using smaller, task-specific datasets. Agentics - Understanding of agentic architecture, concepts and optimization of solutions. Prompt Engineering - Crafting effective prompts to guide generative models in producing desired outputs. Retrieval-Augmented Generation (RAG) - Combining generative models with retrieval systems to enhance performance and relevance. Text Generation - Proficiency in using models like GPT-3/4 for generating human-like text. Image Generation - Familiarity with tools like DALL-E and Stable Diffusion for creating images from text descriptions.

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. Supervisor: No

TCP Career Step Differentiator

Performs very complex data science work, builds complex business models, and makes recommendations that impact multiple organizations, lines of the business, etc.

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.

Our Sr Data Scientist earns between $148,200 - $222,400 USD Annual. Not to mention all the other amazing rewards that working at AT&T offers. Individual starting salary within this range may depend on geography, experience, expertise, and education/training.

Benefits

• 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

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!

Ready to join our team? Apply today!

Weekly Hours

40

Time Type

Regular

Location

Dallas, Texas

Salary Range

$155,700.00 - $233,500.00

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.