Principal Data Scientist

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

Benefits offered by this job

Medical, dental & vision insurance

401(k) with company match

Paid time off & holidays

Employee stock programs

Job summary

T-Mobile is seeking a data science leader to advance analytics across the organization, applying ML, AI, and advanced analytics to solve complex business challenges and improve operations.

You will partner with technical and non-technical stakeholders to build modeling solutions, drive adoption of new technologies, and deliver actionable insights that strengthen data-driven decision-making and team capabilities.

Qualifications

• 7-10 years in predictive modeling, data science, and ML engineering.
• 4-7 years translating business questions into data-driven solutions.
• Experience building and deploying ML models and deep learning.
• 4-7 years with statistical methods and advanced modeling techniques.
• 8-10 years with data scripting languages (SQL, Python).
• 7-10 years experience with data visualization and relational databases.

Responsibilities

• Extract, prepare, and model large datasets to develop analytics and ML solutions.
• Identify and evaluate new technologies for data integration and analytics.
• Own the implementation and standardization of analytics toolkits.
• Collaborate with data engineering on data management, governance, and infra.
• Provide senior guidance on data science methodologies to technical teams.
• Communicate insights to business leaders through verbal, written, and visual means.
• Handle other duties/projects as assigned by management.

Skills

Advanced Analytics

Machine Learning

Data Visualization

Generative AI

LLMs

Statistical Analysis

Data Science

Critical Thinking

Education

Bachelor's Degree + 7 years

Advanced degree + 5 years

Tools

SQL

Python

Spark

Hadoop

Kafka

Hive

PySpark

XGBoost

LGBM

Job description

Job Overview

This role drives technical innovation across the data science function, applying advanced analytics, machine learning, and artificial intelligence to solve complex business challenges. It partners with technical and non-technical stakeholders to develop modeling solutions that support critical operations. Success is measured by effective implementation, adoption of emerging technologies, and delivery of actionable insights that strengthen data-driven decision-making and advance team capabilities.

Job Responsibilities

• Extract, prepare, and model large, complex data sets to develop advanced analytics and machine learning solutions
• Identify and evaluate new technologies to enhance data integration and quantitative analytics capabilities
• Own 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

Required Education

• Bachelor's Degree plus 7 years of related work experience OR Advanced degree with 5 years of related experience . Acceptable areas of study include Quantitative Discipline (math, statistics, economics, computer science, physics, engineering)

Required Experience

• 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
• 4-7 years Experience writing and speaking about technical concepts to business, technical, and lay audiences and giving data-driven presentations
• 7-10 years Experience articulating and translating business questions and using statistical techniques to arrive at an answer using available data
• 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
• 4-7 years Experience with big data architecture and pipeline, Hadoop, Hive, Spark, Kafka, etc.
• 7-10 years Experience with data scripting languages (e.g., SQL, Python)
• 4-7 years Experience in data visualization
• 7-10 years Extended experience working with relational database using SQL

Preferred Experience

• 4-7 years Experience in telecom industry

Required Knowledge, Skills and Abilities

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

Preferred Knowledge, Skills and Abilities

• Data Bricks
• Deep Learning
• XGBoost
• LGBM
• PySpark
• Reinforced Learning

#LI-Corporate

• 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

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.

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 in the prior year. Certain positions in Customer Care are eligible for monthly bonuses based on individual and/or team performance. The incentive component included in the Total Target Cash Earnings Opportunity reflects target performance. Actual earnings included in the Total Target Cash Earnings Opportunity reflect target performance; actual payouts may vary.

At T-Mobile, our benefits exemplify the spirit of One Team, Together! A big part of how we care for one another is working to ensure our benefits evolve to meet the needs of our team members. Full and part-time employees have access to the same benefits when eligible. We cover all of the bases, offering medical, dental and vision insurance, a flexible spending account, 401(k), employee stock grants, employee stock purchase plan, paid time off and up to 12 paid holidays - which total about 4 weeks for new full-time employees and about 2.5 weeks for new part-time employees annually - paid parental and family leave, family building benefits, back-up care, enhanced family support, childcare subsidy, tuition assistance, college coaching, short- and long-term disability, voluntary AD&D coverage, voluntary accident coverage, voluntary life insurance, voluntary disability insurance, and voluntary long-term care insurance. We don't stop there - eligible employees can also receive mobile service & home internet discounts, pet insurance, and access to commuter and transit programs! To learn about T-Mobile’s amazing benefits, check out www.t-mobilebenefits.com.

Never stop growing! As part of the T-Mobile team, you know the Un-carrier doesn’t have a corporate ladder–it’s more like a jungle gym of possibilities! We love helping our employees grow in their careers, because it’s that shared drive to aim high that drives our business and our culture forward. By applying for this career opportunity, you’re living our values while investing in your career growth–and we applaud it. You’re unstoppable!

T-Mobile USA, Inc. is an Equal Opportunity Employer. All decisions concerning the employment relationship will be made without regard to age, race, ethnicity, color, religion, creed, sex, sexual orientation, gender identity or expression, genetic information, national origin, religious affiliation, marital status, citizenship status, veteran status, the presence of any physical or mental disability, or any other status or characteristic protected by federal, state, or local law. Discrimination, retaliation or harassment based upon any of these factors is wholly inconsistent with how we do business and will not be tolerated. Talent comes in all forms at the Un-carrier. If you are an individual with a disability and need reasonable accommodation at any point in the application or interview process, please let us know by emailing [e-mail] or calling 1-844-873-9500. Please note, this contact channel is not a means to apply for or inquire about a position and we are unable to respond to non-accommodation related requests.