Senior Data Scientist — ML & AI Innovation (Hybrid)

T-MOBILE USA, Inc.; Overland Park (KS); Hybrid; USD 127,000 - 230,000; Full time

Benefits offered by this job

Stock grants

Employee stock purchase plan

401(k)

Paid time off & holidays

Parental and family leave

Job summary

T-Mobile USA, Inc. is seeking a Senior Data Scientist to drive technical innovation in the data science function.

You will apply advanced analytics, machine learning, and AI to solve complex business challenges, partnering with stakeholders to develop modeling solutions and enable data-driven decisions. The role requires 7–10 years in data science and ML, strong communication to diverse audiences, and experience with big data and SQL/Python.

Qualifications

• Advanced analytics, data science, and ML problem solving.
• Ability to communicate technical concepts to varied audiences.
• Experience with statistical analysis and data visualization.
• Big data technologies and scripting languages (SQL, Python) preferred.

Responsibilities

• Extract and model large datasets to build analytics and ML solutions.
• Evaluate new technologies to enhance data integration and analytics.
• Standardize analytics toolkits for data science teams.
• Collaborate with data engineering on data governance and infrastructure.
• Provide senior guidance on data science methodologies to technical teams.
• Communicate insights to business leaders via verbal, written, and visual means.
• Contribute to additional projects as assigned by management.

Skills

Advanced Analytics

Critical Thinking

Data Science

Data Visualization

Generative AI

LLM

Machine Learning

Statistical Analysis

Education

Bachelor's degree + 7 years experience

Advanced degree + 5 years experience

Job description

T-Mobile USA, Inc. is seeking a Senior Data Scientist to drive technical innovation in the data science function.

You will apply advanced analytics, machine learning, and AI to solve complex business challenges, partnering with stakeholders to develop modeling solutions and enable data-driven decisions. The role requires 7–10 years in data science and ML, strong communication to diverse audiences, and experience with big data and SQL/Python.