Salary Confidential

Position range in Collin County $73k

•$135k Per Year Director

•Data Science

AT&T SERVICES INC

Occupation:

Data Scientists

Location:

Plano, TX

•75075

Job Type:

Regular, Full Time (30 Hours or More), Permanent Employment, Day Shift

Posted:

10/07/2026

Positions available: 1

Source:

WorkInTexas

Web Site:

WorkInTexas

Onsite /

Remote:

Work onsite all of the time

Updated:

10/10/2026

Expires:

11/09/2026

Agency Job ID:

R-123457

Job #: 17078865

Job Requirements and Properties

Help for Job Requirements and Properties. Work Onsite

Full Time Education

Master's Degree Experience

60 Month(s) Schedule

Full Time Job Type

Regular Duration

Permanent Employment Hours

40 Hours Per Week Shift

Day Shift Public Transit

Available Benefits Help for . Director

•Data Science needed by AT&T Services, Inc. in Plano, TX to lead and direct a large team of data science professionals to translate complex business challenges into actionable insights and innovative solutions. Oversee the end-to-end workflow of data-driven projectsincluding data extraction, cleansing, feature engineering, exploratory data analysis, model creation, tuning, visualization, and deploymentusing advanced statistical analysis, machine learning, and generative AI technologies. Drive informed decision-making and foster a culture of innovation across the organization. Lead the acquisition and preparation of data from diverse sources, both structured and unstructured (e.g., data lakes, cloud storage, internal/external databases). Ensure data quality through robust cleaning and preprocessing methodologies. Design and analyze extremely large and complex datasets (hundreds of terabytes or more), with a strategic approach to data usage and architecture. Oversee the creation of relevant features and conduct exploratory data analysis. Guide team members in coding solutions following a robust ML workflow: data extraction, cleaning, feature engineering, model selection/creation, hyperparameter tuning, interpretation, retraining, deployment, and monitoring. Ensure proficiency with at least one major data science language (Python, R, Scala, etc.) and expertise with modern ML libraries (e.g., Spark, Scikit-learn, Pandas, PyTorch, TensorFlow, Keras, TidyVerse, AutoML tools). Direct the development, evaluation, and optimization of machine learning models, including hyperparameter tuning and post-deployment monitoring using tools like MLflow. Lead the implementation of models into production environments and ensure ongoing explainability, reliability, and minimal model decay. Foster expertise in a range of algorithm categories: supervised/unsupervised learning, optimization, deep learning, computer vision, NLP, deep reinforcement learning, search algorithms, and knowledge graphs. Drive the creation of impactful visualizations and reports for stakeholders using advanced coding and visualization tools (e.g., ggplot, D3.js). Collaborate across cross-functional teams to align analytical efforts with business objectives and strategic goals. Oversee the development and implementation of generative AI models for content creation and data augmentation. Guide the application of GANs, VAEs, Transformers, and other generative models. Foster expertise in prompt engineering, retrieval-augmented generation (RAG), and the use of leading tools for text (GPT-3/4) and image generation (DALL-E, Stable Diffusion). Design and data strategies aligned with organizational philosophy. Supervise multiple teams, including other supervisors and staff; responsible for talent management, hiring, performance evaluations, promotions, and disciplinary actions. Ensure knowledge sharing, mentorship, and continuous learning within the team. Supervise 6 (six) employees, including 3 (three) Lead Data/AI Engineering, 1 (one) Lead Software Engineering, 1 (one) Lead Applications Development, and 1 (one) Sr. Specialist Data Science.

MINIMUM REQUIREMENTS

Requires a Masters degree, or foreign equivalent degree, in Computer Science and 5 years of experience in the job offered, or 5 years of experience in a related occupation applying advanced software engineering, data engineering, and AI or ML engineering to build and deliver enterprise scale analytics platforms; building and delivering production quality applications in Python and Java; leveraging modern front end technologies such as JavaScript/HTML5 and frameworks like React, Angular, or similar; designing, developing, and integrating APIs and services using Spring REST, Flask, or equivalent frameworks; building and operating large scale data pipelines using Spark/PySpark, Hadoop/HDFS, Hive, and Delta Lake; optimizing performance through techniques such as partitioning, bucketing, and workload tuning; designing, developing, and deploying ML driven solutions using scikit learn and related frameworks/libraries such as Pandas, PyTorch, TensorFlow, or other comparable machine learning tools; developing cloud based analytics solutions and data products using platforms such as Databricks and Azure, integrating them into enterprise data lake and analytics environments; serving as a technical lead, guiding engineering teams to design and deliver scalable data/AI solutions, aligning technical execution with business objectives, and driving measurable business value; and solving complex challenges, building innovative platforms, and delivering measurable business value through big data insights and ML/AI enabled products.

Apply at http:

//att.jobs/, select JOB SEARCH and APPLY and select Search by Requisition Number at the left bottom of the page and enter

Job Number:

R-123457 or e-mail resume to g25133@att.com and reference

Job Number:

R-123457.