Data Scientist

T-Mobile USA, Inc • Bellevue, WA • 4h ago

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!

This is not a remote position. T-Mobile is a hybrid work environment requiring work in the office three (3) days per week. The successful candidate will be commuting distance to the greater Seattle, Washington area headquarters* Job Overview As a Data Scientist, you are responsible for applying 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 be able to work 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 Data Scientist's ultimate goal is to create 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. Perform data mining and statistical analyses on ad hoc business problems. Define problems in mathematical terms. For example, "Why is product feature X underperforming?" and "What data on user behavior might help explain it?" Communicate important information and insights to business leaders using verbal, written, and data visualization skills. Education and Work Experience: Bachelor's Degree Quantitative Discipline (math, statistics, economics, computer science, physics, engineering) (Required) Master's/Advanced Degree Quantitative Discipline (math, statistics, economics, computer science, physics, engineering) (Preferred) 2-4 years Industry experience in predictive modeling, data science, and analysis in an ML engineer or data scientist role Required 2-4 years Experience with data scripting languages (e.g., SQL, Python, R) Required 2-4 years Experience in data visualization Required 2-4 years Experience developing statistics-based analytics reports Preferred 2-4 years Experience in the telecom industry Preferred Knowledge, Skills and Abilities: Mathematics Calculus, linear algebra, statistics, and probability (Required) Programming Working knowledge of Python and SQL (Required) Machine Learning: Solid understanding of machine learning concepts and techniques related to supervised and unsupervised learning (Required)
LI-Coporate

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: $86,300 - $155,700 Corporate Bonus Target: 15% The pay range above is the general base pay range for a successful candidate in the role. The successful candidate's actual pay will be based on various factors, such as work location, qualifications, and experience, so the actual starting pay will vary within this range. At T-Mobile, employees in regular, non-temporary roles are eligible for an annual bonus or periodic sales incentive or bonus, based on their role. Most Corporate employees are eligible for a year-end bonus based on company and/or individual performance and which is set at a percentage of the employee's eligible earnings in the prior year. Certain positions in Customer Care are eligible for monthly bonuses based on individual and/or team performance. To find the pay range

Similar Jobs

Software Engineer - Creator Studio

Apple • Seattle, WA • 12h ago

IT & Engineering

Role Number: 200645811-3337 Summary Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we de...

12h ago

Go to Apply