Sr Data Scientist

T-Mobile

Quick summary

Work type
On-site
Location
Bellevue, WA
Salary
$106,000–$191,100 / yr
Posted
7 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $156k
This role $149k
$88k most similar roles pay here $203k

This role pays less than 58% of similar roles. Most pay $126,800–$184,337 — the shaded band above. At the midpoint, this role pays about $149k versus about $156k 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 25 open roles on FindRole.

Listed pay typically runs $109,500–$188,250 across 24 roles with salary data.

Most-posted roles

View all roles at T-Mobile

At a glance

TL;DR · Sr Data Scientist

Join T-Mobile as a Senior Data Scientist and become part of a dynamic team dedicated to solving complex business problems through advanced machine learning techniques. In this role, you will lead the application of statistical methods and ML models to extract predictive insights from large datasets, collaborating with cross-functional teams to drive intelligent decision-making. Day-to-day responsibilities include developing and deploying production-ready models, enhancing data pipelines, mentoring junior team members, and communicating key findings through effective data visualization techniques. Ideal candidates have 4-7 years of experience in predictive modeling, proficiency in Python or R, expertise in big data technologies like Hadoop and Spark, and a strong background in statistical analysis and data storytelling. Experience in the telecom industry is preferred, as you will work on innovative solutions to real-world challenges within this domain.

What you'll do

  • Extract and model large datasets to generate predictive insights using machine learning techniques.
  • Deliver high-quality analysis and actionable recommendations for business decision-making.
  • Mentor team members by reviewing projects, models, and code to enhance technical skills.
  • Implement and improve machine learning pipelines with engineering teams for production use.
  • Communicate key findings and insights to business leaders through various presentation methods.

What we're looking for

  • 4-7 years of industry experience in predictive modeling and data science using ML techniques
  • Proficient in SQL, Python, R for data scripting and analysis
  • Experience with big data architecture, Hadoop, Hive, Spark, Kafka pipelines
  • Ability to articulate business questions and use statistical methods to provide answers
  • Strong background in data visualization and communication of insights to stakeholders

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