Sr. Data Scientist AI COE Job at T-Mobile (Frisco)

Job Description

As a Senior Data Scientist, you are responsible for leading the application of AI and machine learning techniques to solve complex business problems within the Databricks and Azure ecosystems. You will collaborate with a multi-disciplinary team of technical and non-technical stakeholders, leveraging big data architectures, cloud computing, and advanced analytics. You must demonstrate expertise across the entire machine learning (ML) lifecycle, including problem framing, data collection, exploratory data analysis, model development, deployment, storytelling, and performance measurement. This role requires a strong foundation in Azure-based AI/ML services, Databricks workflows, and scalable machine learning pipelines, ensuring the development of robust and production-ready solutions.

Job Responsibility

Extract, prepare, and model large, complex data sets using Databricks, Azure ML, and scalable AI/ML techniques. Apply cutting-edge deep learning, NLP, and reinforcement learning where applicable
Deliver on-time AI-driven insights and recommendations to enable intelligent decision-making across the business. Utilize Azure Synapse, Power BI, and Databricks dashboards for data storytelling
Provide senior-level guidance and mentorship to the data science team, ensuring best practices in MLOps, model governance, and cloud-based deployment
Work closely with data engineering teams to design and improve machine learning pipelines using Azure Data Factory, Databricks Delta Lake, and Spark
Effectively communicate AI-driven insights to business leaders, leveraging advanced visualization techniques and automated reporting tools
Also responsible for other Duties/Projects as assigned by business management as needed

Requirements

Bachelors degree plus 5 years of related work experience OR Advanced degree with 3 years of related experience
Acceptable areas of study include Quantitative Discipline (math, statistics, economics, computer science, physics, engineering, etc.)
4-7 years Experience in AI/ML model development, MLOps, and cloud-based ML (Databricks, Azure ML, AWS Sagemaker, or similar) and libraries (PyTorch, TensorFlow, Nixtla, XGBoost, LightGBM)
4-7 years Experience with data scripting languages (e.g., SQL, Python, R)
2-4 years Experience with big data architecture and pipeline, Hadoop, Hive, Spark, Kafka, etc.
4-7 years Experience translating business questions into AI-driven solutions using supervised, unsupervised, and deep learning models
4-7 years Experience in data visualization
4-7 years Experience in MLOps, CI/CD pipelines, and automated model deployment
Calculus, linear algebra, statistics, and probability knowledge
Expertise in Python and SQL required
Machine Learning: Expertise applying machine learning concepts and techniques related to supervised and unsupervised learning. Experience with CI/CD, MLflow, and model monitoring in production required
Strong communication skills, ability to work with cross functional teams
At least 18 years of age
Legally authorized to work in the United States

What we offer

Competitive base salary
Annual stock grant
Employee stock purchase plan
401(k)
Free, year-round money coaches
Medical insurance
Dental insurance
Vision insurance
Flexible spending account
Paid time off
Up to 12 paid holidays
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
Voluntary long-term care insurance
Mobile service & home internet discounts
Pet insurance
Commuter and transit programs

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Sr. Data Scientist AI COE

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