Senior Data Scientist, AI COE

T-Mobile

Quick summary

Work type: On-site
Location: Frisco, TX
Salary: $106,000–$191,100 / yr
Posted: 3 days ago
Nearby: 99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $164k

This role $149k

$92k most similar roles pay here $236k

This role pays less than 66% of similar roles. Most pay $126,800–$200,200 — the shaded band above. At the midpoint, this role pays about $149k versus about $164k for comparable roles.

Based on 240 similar postings.

Employer

About T-Mobile

T-Mobile US is the second-largest wireless carrier in the United States, providing wireless voice, messaging, and data services under the T-Mobile and Metro by T-Mobile brands. Industry: Wireless Telecommunications

T-Mobile currently has 26 open roles on FindRole.

Listed pay typically runs $125,300–$202,450 across 26 roles with salary data.

Most-posted roles

View all roles at T-Mobile

At a glance

TL;DR · Senior Data Scientist, AI COE

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As a Senior Data Scientist at T-Mobile, you will lead the application of AI and machine learning techniques within the Databricks and Azure ecosystems to solve complex business problems. Your day-to-day responsibilities include extracting, preparing, and modeling large datasets using advanced analytics tools like Databricks, Azure ML, and scalable AI/ML techniques. You will deliver timely insights through data storytelling with Power BI and Databricks dashboards while providing mentorship to the data science team on best practices in MLOps and cloud-based deployment. The role requires expertise in Python, SQL, PyTorch, TensorFlow, and experience with Azure Data Factory, Spark, and Delta Lake for designing machine learning pipelines. You will work closely with cross-functional teams to translate business questions into AI-driven solutions using supervised, unsupervised, and deep learning models, ensuring robust and production-ready ML systems are developed within the telecom industry context.

Skills

Databricks Azure ML Python SQL PyTorch TensorFlow XGBoost LightGBM MLOps CI/CD MLflow Azure Data Factory Databricks Delta Lake Spark Azure Synapse Power BI Hadoop Kafka

What you'll do

Extract and prepare large datasets using Databricks and Azure ML for complex data modeling.
Develop and deploy machine learning models in the cloud, ensuring robustness and scalability.
Mentor junior team members on best practices in MLOps and model governance.
Design and optimize machine learning pipelines with Azure Data Factory and Databricks Delta Lake.
Communicate AI-driven insights to business leaders using advanced visualization tools.

What we're looking for

4-7 years of experience in AI/ML model development and cloud-based ML (Databricks, Azure ML)
Expertise in Python and SQL with knowledge of calculus, linear algebra, statistics, and probability
Strong background in MLOps, CI/CD pipelines, automated model deployment, and production monitoring
Experience translating business questions into AI-driven solutions using supervised, unsupervised learning models
Proficiency in data visualization techniques and advanced visualization tools for communicating insights to stakeholders
2-4 years of experience with big data architecture and pipeline technologies (Hadoop, Hive, Spark)
Bachelor’s degree or advanced degree plus relevant work experience in a quantitative discipline

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