Data Scientist

Overview

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 in-office work three days per week. The successful candidate will be commuting distance to the greater Seattle, Washington area headquarters.

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.

• 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.

• 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

• 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)
• At least 18 years of age
• Legally authorized to work in the United States

Travel Required (Yes/No):
No

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 for this role based on hiring location, copy and paste this link into your browser:

At T-Mobile, our benefits exemplify the spirit of One Team, Together! A big part of how we care for one another is working to ensure our benefits evolve to meet the needs of our team members. Full and part-time employees have access to the same benefits when…