> Markdown version of [/jobs/ext/1029189-specialist-data-scientist](https://www.wearedevelopers.com/jobs/ext/1029189-specialist-data-scientist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Specialist Data Scientist - **Company:** AT&T Inc. - **Location:** Plano, TX, United States - **Salary:** $116,200.0 - $174,200.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Computer Vision, Big Data, Cloud Computing, Databases, D3.Js, Data Mining, Data Visualization, Data Warehousing, Graph Database, Python (Programming Language), Machine Learning, Natural Language Processing, Performance Tuning, Tensorflow, Reinforcement Learning, Feature Engineering, Pytorch, Prompt Engineering, Apache Spark, Deep Learning, Generative AI, Keras, Pandas, Scikit Learn, Data Analytics, Variational Autoencoders, Machine Learning Operations, Stable Diffusion, GPT, Natural Language Generation, Unsupervised Learning, Databricks - **Published:** June 2, 2026 - **Apply:** https://www.disabledperson.com/jobs/72730222-specialist-data-scientist ## About the Role * Coding Solutions, Algorithms and Feature Engineering:Perform feature engineering and exploratory data analysis. Develop end-to-end coding solutions including data extraction, cleansing, model development, tuning, interpretation, deployment, and ML Ops monitoring. Proficient in Python, R, Scala, or similar, with strong experience in ML libraries (e.g., Spark, Scikit-learn, Pandas, PyTorch, TensorFlow, Keras, TidyVerse, AutoML). * Model Development, Deployment and Optimization: Build, evaluate, and optimize ML models, including hyperparameter tuning and custom model development. Deploy and monitor models to ensure performance, reliability, and explainability. Experienced across the full AI lifecycle and tools like MLflow, Databricks, or VS Code. Strong knowledge of supervised/unsupervised learning, deep learning, NLP, computer vision, reinforcement learning, optimization, and knowledge graphs. * Visualization and Collaboration: Develop visualizations and reports to communicate insights and partner with cross-functional teams. Utilize advanced visualization tools and coding libraries (e.g., ggplot, D3.js). * Generative AI:Design and implement generative AI solutions including GANs, VAEs, and transformers. Apply fine-tuning, prompt engineering, and RAG techniques. Experience with agentic architectures and tools like GPT models, DALL* E, and Stable Diffusion for text and image generation. What you'll bring: A professional with solid knowledge of fundamental concepts and organizational practices, working on smaller projects. Exercises judgment in the absence of prescribed guidelines or policies determine appropriate action. Works under minimal supervision with independent judgement. Actions impact efficiency and costs. Interacts primarily within the department, across various teams. Education/Experience: * Bachelor's degree (BS/BA) required from an accredited University in a Quantitative field of study such as Data Science, Math, Statistics, Engineering or Physics. * 1+ years of related experience. Certification is required in some areas. ## 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. Join AT&T and reimagine the communications and technologies that connect the world. The Data Science team at AT&T leads transformation through data-driven decisions that enhance the customer experience and businesses worldwide. Leveraging one of the largest data sets available, we develop meaningful insights that drive continuous innovation. We utilize the latest technology to develop generative AI solutions with real business impacts. When you step into a career with AT&T, you won't just imagine the future-you'll create it. What you'll do: * Data Extraction and Preparation: Collect and prepare data from structured and unstructured sources (e.g., datalakes, databases, data warehouses, cloud, internal/external). Ensure data quality through cleaning and preprocessing. Design, build, and analyze large-scale, complex datasets (100+ TB), applying strategic thinking to data use and design. ## Related Videos - [Web-based Information Visualization](https://www.wearedevelopers.com/videos/84-web-based-information-visualization) - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Overview of Machine Learning in Python](https://www.wearedevelopers.com/videos/840-overview-of-machine-learning-in-python) - [Developer Experience, Platform Engineering and AI powered Apps](https://www.wearedevelopers.com/videos/990-developer-experience-platform-engineering-and-ai-powered-apps) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere)