Lead AI & Data Science Architect

T-Mobile; Factoria (WA); On-site; USD 127,000 - 230,000; Full time

Benefits offered by this job

Stock grant

Employee stock purchase plan

401(k)

Annual bonus

Medical/dental/vision insurance

Job summary

T-Mobile is seeking a senior Data Scientist to lead technical innovation within the data science function. You will develop advanced analytics and ML models, collaborating with engineers and business stakeholders to drive data-driven decisions.

In this role you will harness deep learning, generative AI, and large language models to support operational excellence, deliver actionable insights, and advance the company’s analytics capabilities across teams.

Qualifications

• Bachelor's degree and 7 years related experience or advanced degree with 5 years related experience.
• Quantitative discipline such as math, statistics, economics, CS, physics or engineering.
• 7-10 years in predictive modeling, data science and ML deployment experience.

Responsibilities

• Extract, prepare, and model large data sets to develop advanced analytics and ML solutions.
• Identify and evaluate emerging technologies to enhance data analytics capabilities.
• Lead the implementation and standardization of analytics toolkits for data science teams.
• Collaborate with data engineering to shape data management strategies, architecture, governance, and infrastructure.
• Provide senior-level guidance on data science methodologies to technical teams.
• Communicate insights to business leaders through verbal, written, and visual means.
• Other duties/projects as assigned by management.

Skills

Advanced Analytics

Critical Thinking

Data Science

Data Visualization

Deep Learning

Generative AI

LLM Fine-Tuning

Machine Learning

Statistical Analysis

Education

Bachelor's degree + 7 years

Advanced degree + 5 years

Quantitative discipline

Tools

Hadoop

Hive

Spark

Kafka

SQL

Python

R

Job description

T-Mobile is seeking a senior Data Scientist to lead technical innovation within the data science function. You will develop advanced analytics and ML models, collaborating with engineers and business stakeholders to drive data-driven decisions.

In this role you will harness deep learning, generative AI, and large language models to support operational excellence, deliver actionable insights, and advance the company’s analytics capabilities across teams.