Experience Inc. Jobs

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! As a Senior Data Scientist, you are responsible for leading the application of machine learning techniques and statistical methods 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 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 the understanding that a Senior Data Scientist represents technical expertise and leadership within the Data Science team in creating real business value from data. Job Responsibilities: Extract, prepare and model large, complex data sets using a combination of skills, including machine learning theory, mathematics, statistics, and programming. Deliver on-time quality analysis, interpretation, and synthesis of data into effective, concise, and actionable recommendations that enable intelligent decisioning for the company. Provide senior-level guidance and mentorship to the data science team, including reviewing projects, models, and code for peers and junior team members. Work with engineering teams to implement and improve machine learning pipelines and production-ready models. Effectively communicate important information and insights to business leaders using verbal, written, and data visualization skills. Also responsible for other Duties/Projects as assigned by business management as needed. Education: Bachelor's Degree in Quantitative Discipline (math, statistics, economics, computer science, physics, engineering, etc.) Required Masters Degree in Quantitative Discipline (math, statistics, economics, computer science, physics, engineering) Preferred. Work Experience: 4-7 years of 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 of experience with data scripting languages (e.g., SQL, Python, R) (Required) 4-7 years of Experience articulating and translating business questions and using statistical techniques to arrive at an answer using available data (Required) 4-7 years of experience in data visualization (Required) 4-7 years of experience working with relational database using SQL (Required) 2-4 years of experience with big data architecture and pipeline, Hadoop, Hive, Spark, Kafka, etc. (Required) 2-4 years of experience in the telecom industry preferred Knowledge, Skills and Abilities: Mathematics : Calculus, linear algebra, statistics, and probability Programming : Expertise in Python and SQL Machine Learning: Expertise applying machine learning concepts and techniques related to supervised and unsupervised learning Communication : Strong communication skills, ability to work with cross functional teams * At least 18 years of age * Legally authorized to work in the United States Travel: Travel Required (Yes/No):No DOT Regulated: 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 candi