Senior Applied Scientist at T-Mobile

Compensation

$116,500 – $210,100/yr

Type: Full-time
Level: Senior

Description

T-Mobile is looking for a Senior Applied Scientist to join their Advertising Solutions team. This role involves developing machine learning and data products, building scalable data pipelines, applying statistical methods, writing production-quality code, and collaborating with cross-functional teams. The ideal candidate will have extensive experience in AI/ML, big data, and cloud technologies.

Required Skills

machine learning
software engineering
big data
cloud technologies
statistical methods
experimentation
validation frameworks
production-quality code
CI/CD
observability

Additional Information

Required Previous Experiences: 4-7 years experience building and deploying machine learning and deep learning solutions at scale; familiarity with MLOps and DevOps practices and tools.
4-7 years Experience working within big data architecture, modern analytical data platforms, and large-scale data warehousing technologies (e.g. BigQuery, Snowflake, Redshift)
4-7 years Experience working with large-scale distributed data systems and cloud platforms (e.g. SQL, Python, Scala, AWS)
4-7 years Experience solving complex data, machine learning, or algorithmic challenges in production environment using modern engineering practices.
Preferred Qualifications: Experience in AdTech and GIS or geospatial data processing is a plus.

About T-Mobile

T-Mobile

5G Network

Discover America's Best Network with T-Mobile! Get unbeatable deals, unlimited 5G plans, and T-Satellite coverage that keeps you connected while saving big.