Data Scientist, Marketing Program Analytics

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Job Overview

At T-Mobile, data doesn’t just inform our strategy — it shapes it! The Corporate Strategy team is looking for a Data Scientist, Marketing Program Analytics to drive insights and influence the decisions that keep T-Mobile at the top of the U.S. wireless market!

This person will be an integral part of a team focused on measuring the business impact of marketing programs that offer our customers benefits beyond core wireless connectivity (examples include Netflix on Us, Magenta Status, in-flight WiFi and more).

As a Data Scientist on the team, 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 partners on a wide range of challenges. You will 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.

We have TWO Data Scientist, Marketing Program Analytics available at our Bellevue, WA HQ

We are offering three days a week in office collaboration!

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.

Knowledge, Skills and Abilities:

• Calculus, linear algebra, statistics, and probability (Required)
• Working knowledge of Python and SQL (Required)
• Solid understanding of machine learning concepts and techniques related to supervised and unsupervised learning (Required)

Education and Work Experience:

• Bachelor's Degree Quantitative Field (math, statistics, economics, computer science, physics, engineering)
• Master's/Advanced Degree Quantitative Field (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
• 2-4 years - Experience with data scripting languages (e.g., SQL, Python, R)
• 2-4 years - Experience in data visualization
• 2-4 years - Experience developing statistics-based analytics reports is preferred
• 2-4 years - Experience in the telecom industry is preferred

 

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

 

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, https://paylookup.t-mobile.com/paylookup?reqID=REQ337860&paradox=1

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 eligible. We cover all of the bases, offering medical, dental and vision insurance, a flexible spending account, 401(k