Senior Data Scientist: ML, Big Data & Cloud Innovator

JobCubby; Plano, Northern (TX, KY); Hybrid; USD 133,000 - 192,000; Full time

Benefits offered by this job

401(k) plan

Tuition reimbursement

Paid Time Off and Holidays

Paid Parental Leave

Life Insurance

Job summary

AT&T is seeking a Senior Data Scientist in Plano, TX to design, build, and analyze large data sets. You will apply statistical methods, ML frameworks, and visualization tools to understand data structure, trends, and relationships, while improving model performance and unlocking business value.

You will work with Python, R, SQL and big data platforms (Hadoop, Spark, Databricks) on cloud services (AWS, Google Cloud, Azure) in a collaborative environment with Jupyter, Git, and Airflow.

Qualifications

• Requires a Bachelor’s degree or foreign equivalent in Data Science, Math, Statistics, Engineering or Physics.
• 2 years of experience in data science or related roles applying statistical design and ML concepts; experience with Python, R, Scala or SQL.
• Experience with ML packages and libraries such as SciKit-Learn, Pandas, TensorFlow, Keras, PyTorch, and AutoML tools.

Responsibilities

• Design, build, and analyze large data sets from diverse sources to inform business decisions.
• Apply statistical techniques and visualization to uncover insights and drive ML model improvements.
• Develop data-driven income models, identify cost-saving opportunities, and optimize business processes.

Education

Bachelor's degree

Tools

Hadoop

Spark

Databricks

Python

R

SQL

Scikit-Learn

Pandas

TensorFlow

PyTorch

Keras

Tableau

Power BI

Airflow

Docker

Git

Job description

AT&T is seeking a Senior Data Scientist in Plano, TX to design, build, and analyze large data sets. You will apply statistical methods, ML frameworks, and visualization tools to understand data structure, trends, and relationships, while improving model performance and unlocking business value.

You will work with Python, R, SQL and big data platforms (Hadoop, Spark, Databricks) on cloud services (AWS, Google Cloud, Azure) in a collaborative environment with Jupyter, Git, and Airflow.