Principal Data Scientist

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

Benefits offered by this job

Annual stock grant

Employee stock purchase plan

401(k) matching

Financial coaching

Job summary

T-Mobile is seeking a senior data science leader to drive advanced analytics and machine learning initiatives across the organization. You will collaborate with data engineering, product, and business teams to deploy AI solutions that power key business decisions.

The role requires mastery of ML techniques, experience with generative AI, and the ability to translate complex data problems into actionable insights. Strong communication and leadership are essential.

Qualifications

• Bachelor's Degree plus 7 years of related work experience or advanced degree with 5 years (Required).
• Quantitative discipline including math, statistics, economics, CS, physics or engineering (Required).
• 7-10 years in predictive modeling, data science, and ML engineering (Required).
• 4-7 years experience communicating technical concepts to diverse audiences (Required).
• 7-10 years translating business questions into data-driven answers (Required).
• 4-7 years experience with statistical methods and modeling (Required).
• 4-7 years experience with big data architecture and pipeline tools (Required).
• 7-10 years experience with SQL, Python, and R (Required).
• 4-7 years experience in data visualization (Required).
• 7-10 years experience with relational databases using SQL (Required).
• 4-7 years experience in telecom (Preferred).

Responsibilities

• Extract, prepare, and model large data sets to develop analytics and ML solutions.
• Identify emerging technologies to enhance data integration and analytics.
• Lead standardization of analytics toolkits for data science teams.
• Collaborate with data engineering on data management and governance.
• Provide senior-level guidance on data science methodologies.
• Communicate insights to business leaders through various formats.
• Handle additional duties as assigned by management.

Skills

Advanced Analytics

Data Science

Machine Learning

Generative AI

LLM Fine-Tuning

Statistical Analysis

Data Visualization

SQL

Python

R

Communication

Leadership

Education

Bachelor's Degree + 7 years in quantitative field

Advanced degree in data science or related

Tools

Hadoop

Hive

Spark

Kafka

Python

Job description

At T-Mobile, we invest in YOU! Our Total Rewards Package ensures that employees get the same big love we give our customers. All team members receive a competitive base salary and compensation package - this is Total Rewards. Employees enjoy multiple wealth-building opportunities through our annual stock grant, employee stock purchase plan, 401(k), and access to free, year‑round money coaches. That's how we're UNSTOPPABLE for our employees!

Job Overview

This role leads technical innovation within the data science function to address complex business challenges using advanced analytics and machine learning. It involves collaborating with diverse technical and non-technical stakeholders to develop advanced analytics and machine learning modeling solutions. The role requires mastery of existing machine learning techniques and development of artificial intelligence that supports key business operations. Success is measured by the effective implementation of advanced analytics, the adoption of emerging technologies, and the delivery of actionable insights. The work impacts the organization by enabling data‑driven decision‑making and advancing the technical capabilities of data science teams.

Job Responsibilities

• 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
• Also responsible for other duties/projects as assigned by business management as needed

Education and Work Experience

• Bachelor's Degree plus 7 years of related work experience OR Advanced degree with 5 years of related experience (Required)
• Acceptable areas of study include Quantitative Discipline (math, statistics, economics, computer science, physics, engineering) (Required)
• 7-10 years Industry experience in predictive modeling, data science, and analysis in an ML engineer or data scientist role building and deploying ML models or hands on experience developing deep learning models (Required)
• 4-7 years Experience writing and speaking about technical concepts to business, technical, and lay audiences and giving data-driven presentations (Required)
• 7-10 years Experience articulating and translating business questions and using statistical techniques to arrive at an answer using available data (Required)
• 4-7 years Experience with statistical methods and advanced modeling techniques. For example- SVM, Random Forest, graph models, Bayesian inference, NLP, Computer Vision, neural networks (Required)
• 4-7 years Experience with big data architecture and pipeline, Hadoop, Hive, Spark, Kafka, etc. (Required)
• 7-10 years Experience with data scripting languages (e.g., SQL, Python, R) (Required)
• 4-7 years Experience in data visualization (Required)
• 7-10 years Extended experience working with relational database using SQL (Required)
• 4-7 years Experience in telecom industry (Preferred)

Knowledge, Skills and Abilities

• Advanced Analytics (Required)
• Critical Thinking (Required)
• Data Science (Required)
• Data Visualization (Required)
• Deep Learning (Required)
• Generative AI (Required)
• Large Language Model (LLM) Fine‑Tuning (Required)
• Machine Learning (ML) (Required)
• Statistical Analysis (Required)

Eligibility

• At least 18 years of age
• Legally authorized to work in the United States

Travel

Travel Required (Yes/No): No

DOT Regulated

DOT Regulated Position (Yes/No): No

Safety Sensitive Position (Yes/No): No

Total Target Cash Earnings Opportunity

$152,880 - $275,760

National Base Pay Range: $127,400 - $229,800

The Total Target Cash Earnings Opportunity represents the expected total cash compensation for this role at target performance, combining base salary and annual incentive opportunity. Actual earnings may be higher or lower depending on individual performance and overall company results.

The base pay range reflects the compensation component of this opportunity. The candidate's actual pay will be based on various factors, such as work location, qualifications, and experience, so the actual starting pay will vary within this range. To find the pay range for this role based on hiring location, https://paylookup.t-mobile.com/paylookup?reqID=REQ377476¶dox=1

At T-Mobile, employees in regular, non-temporary roles are eligible for an annual bonus or periodic sales incentive or bonus, based on their role. Corporate employees are eligible for a year‑end bonus based on individual and/or company performance and which is set at a percentage of the employee's eligible earnings