Senior Data Scientist: AI & Big Data Innovator

AT&T; Plano (TX); On-site; USD 133,000 - 192,000; Full time

Benefits offered by this job

Medical/Dental/Vision coverage

401(k) plan

Tuition reimbursement

Job summary

AT&T is seeking a Sr Specialist Data Scientist to design, build, and analyze large data sets across diverse sources. Leverage Python, R, Scala, and SQL to develop features and improve model performance on cloud and on-prem platforms.

You will apply ML frameworks such as Scikit-Learn, TensorFlow, PyTorch, and Keras, and utilize Tableau/Power BI for visualization. Expect collaboration across teams and a focus on cost-saving data-driven solutions.

Qualifications

• Requires a Bachelor’s degree in Data Science, Math, Statistics, Engineering, or Physics, or foreign equivalent.
• 2 years of experience applying statistical design of experiments and learning algorithms.
• Proficient in at least one data science language: Python, R, Scala, or SQL.
• Experience with ML packages including Scikit-Learn, Pandas, TensorFlow, Keras, PyTorch, and AutoML tools.

Responsibilities

• Design, build, and analyze large data sets from structured and unstructured sources.
• Apply statistical techniques to understand data, create features, and improve model performance.
• Develop income-generating models and identify opportunities for cost savings by optimizing business processes.

Skills

Statistical design of experiments

Supervised Learning

Unsupervised Learning

Python

SQL

R

Scala

Machine learning concepts

Education

Bachelor's degree in Data Science, Math, Statistics, Engineering, or Physics

Tools

Hadoop

Spark

Databricks

AWS

Google Cloud

Azure

Scikit-Learn

Pandas

TensorFlow

Keras

PyTorch

Tableau

Power BI

Apache Airflow

Docker

Git

Jupyter Notebooks

NoSQL databases

Job description

AT&T is seeking a Sr Specialist Data Scientist to design, build, and analyze large data sets across diverse sources. Leverage Python, R, Scala, and SQL to develop features and improve model performance on cloud and on-prem platforms.

You will apply ML frameworks such as Scikit-Learn, TensorFlow, PyTorch, and Keras, and utilize Tableau/Power BI for visualization. Expect collaboration across teams and a focus on cost-saving data-driven solutions.