Sr Data Scientist- Consumer Analytics

Job Overview

This role leads the application of machine learning techniques and statistical methods to address complex business challenges effectively. It involves collaborating with diverse technical and non-technical stakeholders to deliver data-driven solutions. The role requires expertise across the entire machine learning lifecycle, including problem framing, data collection, model development, deployment, and performance evaluation. Success is measured not only by model performance, but by the ability to frame the right problem before work begins and translate rigorous analysis into confident decisions.

The work functions as a strategic consulting capability within Care, turning ambiguous business challenges into clear, actionable direction.

• Extract and model large, complex data sets using machine learning, mathematics, statistics, and programming to generate predictive insights
• Deliver timely, high‑quality analysis and actionable recommendations that support intelligent business decision‑making
• Provide senior-level guidance and mentorship by reviewing projects, models, and code to support team development
• Collaborate with engineering teams to implement and enhance machine learning pipelines and production‑ready models
• Communicate key information and insights to business leaders through verbal, written, and data visualization methods
• Also responsible for other duties/projects as assigned by business management as needed

• Bachelor's Degree plus 5 years of related work experience OR Advanced degree with 3 years of related experience (Required)
• Acceptable areas of study include Quantitative Discipline (math, statistics, economics, computer science, physics, engineering, etc.) (Required)
• 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 (Required)
• 2–4 years experience in the telecom industry (Preferred)

• 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)
• Business Acumen:
  Demonstrated ability to connect analytical work to business outcomes, approach problems with first‑principles thinking, and communicate tradeoffs in ways that influence how leaders act, not just what they know. (Preferred)
• At least 18 years of age
• Legally authorized to work in the United States

Travel Required (Yes/No):
No

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.

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.

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 Applic or calling  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.