Principal Data Scientist

T-Mobile

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Bellevue, WA
Salary
$152,880–$275,760 / yr
Employment
Full-time
Posted
5 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $177k
This role $214k
$108k $294k
below market most similar roles pay here above market

This role pays more than 76% of similar roles. Most pay $144,750–$209,915 — the blue band above. At the midpoint, this role pays about $214k versus about $177k 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 71 open roles on FindRole.

Listed pay typically runs $135,700–$230,700 across 31 roles with salary data.

Most-posted roles

View all roles at T-Mobile

At a glance

TL;DR · Principal Data Scientist

The Principal Data Scientist leads technical innovation within the data science function to address complex business challenges using advanced analytics and machine learning. This role involves collaborating with diverse stakeholders to develop modeling solutions, extracting and preparing large data sets, and identifying emerging technologies to enhance quantitative analytics. Key responsibilities include leading the standardization of modeling toolkits, shaping data management strategies with engineering teams, and providing senior-level guidance on methodologies. The position requires proficiency in SQL, Python, R, and big data tools like Hadoop, Hive, Spark, and Kafka. Candidates must apply expertise in deep learning, generative AI, LLM fine-tuning, and statistical methods such as SVM, Random Forest, and Bayesian inference. The work focuses on enabling data-driven decision-making and advancing technical capabilities through actionable insights.

What does a Data Scientist earn in Washington?

Median $212000 from 33 postings across 16 companies.

See salary data

What you'll do

  • Extract, prepare, and model large, complex data sets to develop advanced analytics and machine learning solutions.
  • Identify and evaluate emerging technologies to enhance data integration and quantitative analytics capabilities.
  • Lead the implementation and standardization of advanced analytics and modeling 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 and approaches to technical teams.
  • Communicate insights and technical information to business leaders through verbal, written, and visual means.

What we're looking for

  • Must have a Bachelor's degree in a quantitative discipline plus 7 years of experience or an advanced degree plus 5 years of experience.
  • Must have 7-10 years of industry experience in predictive modeling, data science, and analysis as an ML engineer or data scientist.
  • Must have 4-7 years of experience communicating technical concepts and giving data-driven presentations to business and lay audiences.
  • Must have 7-10 years of experience translating business questions into answers using statistical techniques and available data.
  • Must have 4-7 years of experience with statistical methods including SVM, Random Forest, NLP, Computer Vision, and neural networks.
  • Must have 4-7 years of experience with big data architecture and pipelines including Hadoop, Hive, Spark, and Kafka.
  • Must have 7-10 years of experience with data scripting languages such as SQL, Python, and R.
  • Authorized to work in the United States.

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