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! Job Overview T-Mobile is America's supercharged Un-carrier, delivering an advanced 4G LTE and transformative nationwide 5G network that will offer reliable connectivity for all. The Senior Data Scientist will be part of the 'Data & AI team' AI/ML team and will be responsible for applying statistical, advanced analytics, machine learning, and AI techniques to solve business problems. You will collaborate with a multi-disciplinary team of technical and non-technical business stakeholders on a wide range of challenges. You must be able to work across the entire machine learning (ML) lifecycle, including problem framing, data collection, exploratory data analysis, model development, deployment, performance measurement, and business adoption. Job Responsibilities: Support teams' mission to partner with leaders across T-Mobile to understand the "art of the possible" and identify AI/ML opportunities to grow our business, reduce costs, manage risk, detect anomalous behavior, forecast/predict outcomes, and delight our customers Support business partners and product owners to understand business challenges, develop business cases, capture requirements, co-create solutions that drive business change that solve the challenges and deliver impactful business outcomes Provide senior-level guidance and mentorship to the data science team, including reviewing projects, models, and code for peers and junior team members. Design advanced analytics to solve business problems; preprocess and perform exploratory data analysis on structured and unstructured data; create features based on expertise in the domain; use predictive modeling techniques and statistical analysis to predict outcomes and behaviors Leverage the Agile methodology to ensure alignment of data science roadmap, features, and stories to business priorities and value streams Collaborate with cross-functional team comprised of other data scientists, data engineers, ML engineers, and data analysts. Partner with other technology partners such as architects, engineers, product managers, scrum masters, release train engineers, and agile coaches to deliver on targeted business outcomes. 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 of industry experience in predictive modeling, data science, machine learning, advanced analytics, and AI in a data scientist role, ML Scientist, or deep learning scientist role. 4-7 years of experience with programming languages like Python, PySpark, SQL, and/or R. Experience working with relational databases using SQL Experience with data querying, wrangling, cleaning, and feature engineering working with common relational and non-relational databases in big data environments such as Azure, AWS, or Google Cloud Experience articulating and translating business questions and using statistical techniques to arrive at an answer using data Experience writing and speaking about technical concepts to business, technical, and lay audiences and giving data-driven presentations Experience generating data-driven insights and explaining machine learning and analytical concepts to diverse audiences and multiple levels of leadership