Senior-Data Scientist

Key Skills

Apache Hadoop, Azure, Databricks, Deep Learning, Design, Natural Language Processing (NLP), Python Programming, R Programming, Scala Programming, SQL, Unix Operating system

Job Description

Job Overview

Join AT&T and reimagine the communications and technologies that connect the world. We’re committed to those who seek to discover the undiscoverable and dare to disrupt the norm. Bring your bold ideas and fearless risk-taking to redefine connectivity and transform how the world shares stories and experiences that matter. When you step into a career with AT&T, you won’t just imagine the future – you’ll create it.

Key Roles and Responsibilities

The Senior Data Scientist:

• Translates business problems to insights and codes solutions using the 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. 
• Designs, builds, and analyzes large and complex data sets from various structured and unstructured sources while thinking strategically about data use and data design.
• Works with massive network datasets to develop data pipelines and to build models that enable our network intelligence and insights use cases.

 Qualifications

• Requires a Master's degree from an accredited University in a Quantitative field of study such as Data Science, Math, Statistics, Engineering or Physics.
• 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, AI- Knowledge Graphs.
• Coding proficiency required in at least one data science language (Python, R, Scala, and SQL), as well as expertise with modern ML packages and libraries.
• Proficiency in cloud AI technologies desired, as this position implements AI solutions within the target AI architecture led by the Data Council/Data Review Board.
• Ability to organize and crisply communicate insights from analysis of large data sets in an intuitive manner to non-technical business partners.
• Experience working with Hadoop, Azure data lake, Databricks, Snowflake is a must.
• Requires 5-8 years of experience in building models and supporting model operationalization via ML Ops.
• Experience with Generative AI and Foundational models is good to have.
• Requires on site presence 3-5 days a week in Dallas/Plano.

Our Senior-Data Scientist´s earn between $141,300 - $211,900. 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.

 Joining our team comes with amazing perks and 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