Sr Data Scientist

T-Mobile•Frisco, TX

3d•$106,000 - $191,100•Onsite

About The Position

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! Are you ready to redefine the future of customer service with the power of AI? We’re looking for a Senior Data Scientist who doesn’t just build models—but helps define how data drives our business. In this role, we use advanced machine learning and statistical techniques to solve complex problems, unlock new opportunities, and shape the future of our products and decisions. As a senior member of the team, we count on you to lead end-to-end initiatives across the full data science lifecycle—from framing ambiguous problems and exploring data to developing, deploying, and continuously improving models in production. You’ll partner closely with engineering, product, and business leaders to turn ideas into scalable, high-impact solutions. This role goes beyond execution. We’re looking for someone who can influence strategy, guide data-informed decision-making at multiple levels of the organization, and help prioritize where data science can drive the most value. You’ll have a voice in shaping our roadmap, defining best practices, and elevating how we operate as a team. We build with purpose. Together, we focus on delivering solutions that create measurable business impact, improve customer experiences, and position data as a core strategic asset. You’ll also play a key role in mentoring others and raising the bar for technical excellence and collaboration. We’re especially interested in someone with strong experience across descriptive, predictive, and prescriptive analytics—someone who can both enhance existing products and help us design and scale what comes next. We pride ourselves on encouraging a culture of innovation, advocating for agile methodologies, and promoting clarity in all that we do. Join us in embodying the spirit of the 'Un-carrier' and make a tangible impact! If you are passionate about driving excellence and want to make a significant impact, apply today!

Requirements

4+ yrs Proven 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+ yrs Experience with data scripting languages (e.g., SQL, Python, R) (Required)
2+ yrs Experience with big data architecture and pipeline, Hadoop, Hive, Spark, Kafka, etc. (Required)
4+ yrs Experience articulating and translating business questions and using statistical techniques to arrive at an answer using available data (Required)
4+ yrs Experience in data visualization (Required)
4+ yrs Experience working with relational database using SQL (Required)
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 Analysis (Required)
Business Insights (Required)
Critical Thinking (Required)
Data Analysis (Required)
Data Science (Required)
Data Storytelling (Required)
Data Visualization (Required)
Deep Learning (Required)
Generative AI (Required)
Large Language Model (LLM) Fine-Tuning (Required)
Machine Learning (ML) (Required)
Statistical Analysis (Required)
At least 18 years of age
Legally authorized to work in the United States

Nice To Haves

2+ yrs Experience in the telecom industry (Preferred)

Responsibilities

Lead end-to-end initiatives across the full data science lifecycle—from framing ambiguous problems and exploring data to developing, deploying, and continuously improving models in production.
Partner closely with engineering, product, and business leaders to turn ideas into scalable, high-impact solutions.
Influence strategy, guide data-informed decision-making at multiple levels of the organization, and help prioritize where data science can drive the most value.
Shape our roadmap, define best practices, and elevate how we operate as a team.
Deliver solutions that create measurable business impact, improve customer experiences, and position data as a core strategic asset.
Mentor others and raise the bar for technical excellence and collaboration.
Enhance existing products and help design and scale what comes next.