Sr Data Scientist - Retail Experience & Insight

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T-Mobile is transforming the traditional retail experience from transactional interactions to inspiring journeys of discovery and connection. We're seeking an exceptional Senior Data Scientist to drive innovation through advanced analytics and machine learning, while providing technical leadership to our data science team.

Job Overview
As Senior Data Scientist, you will lead the application of machine learning techniques and statistical methods to solve complex business challenges. This role combines technical expertise with leadership responsibilities, focusing on creating tangible business value through data-driven insights and innovations. You'll work at the intersection of retail transformation and advanced analytics, helping shape the future of customer experience.

Technical Leadership

• Lead the end-to-end machine learning lifecycle, from problem framing to deployment

• Extract, prepare, and model large, complex datasets using advanced ML techniques

• Develop and implement sophisticated statistical models and machine learning algorithms

• Guide the development and deployment of production-ready models

• Establish best practices for data science methodologies and workflows

Business Impact & Analytics

• Transform complex data into actionable insights and recommendations

• Deliver timely, high-quality analysis that enables intelligent business decisions

• Create and implement metrics to measure model performance and business impact

• Identify opportunities for applying ML solutions to business challenges

• Drive innovation in retail analytics and customer experience optimization

Team Leadership & Collaboration

• Provide technical mentorship and guidance to data science team members

• Review projects, models, and code for peers and junior team members

• Collaborate with engineering teams on ML pipeline implementation

• Partner with cross-functional stakeholders to align technical solutions with business needs

• Communicate complex technical concepts to non-technical audiences

Innovation & Development

• Drive the adoption of cutting-edge ML techniques and tools

• Lead research initiatives to explore new methodologies and applications

• Contribute to the development of scalable, production-grade ML systems

• Influence technical strategy and roadmap planning

• Champion data-driven decision making across the organization

Education:

• Bachelor's Degree Quantitative Discipline (math, statistics, economics, computer science, physics, engineering, etc.) (Required)

• Master's/Advanced Degree Quantitative Discipline (math, statistics, economics, computer science, physics, engineering) (Preferred)

Work Experience:

• 4-7 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 with data scripting languages (e.g., SQL, Python, R) (Required)

• 2-4 years Experience with big data architecture and pipeline, Hadoop, Hive, Spark, Kafka, etc. (Required)

• 4-7 years Experience articulating and translating business questions and using statistical techniques to arrive at an answer using available data (Required)

• 4-7 years Experience in data visualization (Required)

• 4-7 years Experience working with relational database using SQL

• 2-4 years Experience in the telecom industry (Preferred)

Knowledge, Skills and Abilities:

• Mathematics Calculus, linear algebra, statistics, and probability (Required)

• Programming Expertise in Python and SQL (Required)

• Machine Learning: Expertise applying machine learning concepts and techniques related to supervised and unsupervised learning (Required)

• Communication Strong communication skills, ability to work with cross functional teams

• 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

Base Pay Range: $106,000 - $191,100

Corporate Bonus Target: 15%

The pay range above is the general base pay range for a successful candidate in the role. The successful 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. Most Corporate employees are eligible for a year-end bonus based on company and/or individual 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. To find the pay range for this role based on hiring location, https://paylookup.t-mobile.com/paylookup?reqID=REQ301908&paradox=1

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, 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 ApplicantAccommodation@t-mobile.com 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.