Sr Data Scientist

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!

Ready to elevate your career and be a part of the Uncarrier journey at T-Mobile?

Our team is searching for a Senior Data Scientist responsible for owning the application of machine learning techniques and statistical methods to tackle business problems. We collaborate with a multi‑disciplinary team of technical and non‑technical business partners on a wide range of challenges. We also demonstrate expertise across the entire machine learning (ML) lifecycle, including problem framing, data collection, exploratory data analysis, model development, deployment, and performance measurement.

Paramount to this job is that you will represent the technical expertise and leadership within our team building real business value from data.

We pride ourselves on encouraging a culture of innovation, advocating for agile methodologies, and promoting transparency 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 perfection and want to make a significant impact, apply today!

• 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.

• 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).