Principal Data Scientist

AT&T-posted 2 months ago
$160,900 - $270,400/Yr
Full-time • Principal
Remote • Dallas, TX
Telecommunications
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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.

  • Data Extraction and Preparation: Collect data from various structured and unstructured sources and ensure its quality for analysis through cleaning and preprocessing.
  • Designs, builds, and analyzes large and complex data sets while thinking strategically about data use and data design.
  • 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.
  • 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.
  • Create visualizations and reports for stakeholders while working closely with cross-functional teams to align efforts with business objectives.
  • Develop and implement generative AI models, focusing on creating new content or augmenting existing data.
  • 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.
  • Coding proficiency required in at least one data science language (Python, R, Scala, etc.).
  • Expertise with modern ML packages and libraries (Spark, SciKitLearn, Pandas, PyTorch, TidyVerse, Tensorflow, Keras, Shiny, and/or AutoML tools).
  • Highly proficient in the full AI workflow.
  • 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.
  • Understanding of GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and Transformers.
  • Techniques for adapting pre-trained models to specific tasks using smaller, task-specific datasets.
  • Understanding of agentic architecture, concepts and optimization of solutions.
  • Crafting effective prompts to guide generative models in producing desired outputs.
  • Combining generative models with retrieval systems to enhance performance and relevance.
  • Proficiency in using models like GPT-3/4 for generating human-like text.
  • Familiarity with tools like DALL-E and Stable Diffusion for creating images from text descriptions.
  • 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
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