Senior Data Scientist - Broadband Modeling

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The Broadband Business Intelligence team is responsible for partnering closely with the broadband marketing and commercial teams to provide key, actionable insights around the performance of the broadband business unit.
We are seeking a candidate with experience in analyzing the commercial impacts of marketing strategies and tactics. The ideal candidate should have a curiosity for digging into detailed data to investigate the implications of marketing tactics, commercial tactics, and customer experience impacts, with the intent of surfacing insights to key leaders.
As a Senior Data Scientist, you are responsible for leading the application of 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 problem framing, data collection, exploratory data analysis, model development, deployment, and performance measurement. Present sophisticated business insights and findings in succinct and creative ways using data visualizations for a broad audience, including executive level communication (VP, SVP).
This is a hybrid position required to be in-office at least 3 days a week.

Job Responsibilities:

• Extract, prepare and model large, sophisticated 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 team, including reviewing projects, models, and code for peers in data science roles and those in analyst roles.

• Work with data engineering teams to implement and improve production-ready analytical datasets.

• Effectively communicate meaningful information and insights to business

Qualifications:

• Bachelor's Degree Quantitative Discipline (math, statistics, economics, computer science, physics, engineering, etc.). Master's/Advanced Degree preferred

• 4 years with data scripting languages (e.g., SQL, Python, R)

• 4 years articulating and translating business questions and using statistical techniques to arrive at an answer using available data

• 4 years producing in data visualizations

• 4 years working with relational database using SQL

• 2 years in the telecom/broadband industry preferred

Knowledge, Skills and Abilities:

• Programming expertise in Python and SQL

• Expert analytical, problem solving and critical reasoning skills

• Strong communication skills, ability to work with cross functional teams

• At least 18 years of age

• Legally authorized to work in the United States

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 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=REQ311774¶dox=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), employee stock grants, employee stock purchase plan, paid time off and up to 12 paid holidays - which total about 4 weeks for new full-time employees and about 2.5 weeks for new part-time employees annually - paid parental and family leave, family building benefits, back-up care, enhanced family support, childcare subsidy, tuition assistance, college coaching, short- and long-term disability, voluntary AD&D coverage, voluntary accident coverage, voluntary life insurance, voluntary disability insurance, and voluntary long-term care insurance. We don't stop there - eligible employees can also receive mobile service & home internet discounts, pet insurance, and access to commuter and transit programs! To learn about T-Mobile’s amazing benefits, check out www.t-mobilebenefits.com.

Never stop growing!
As part of the T-Mobile team, you know the Un-carrier doesn’t have a corporate ladder–it’s more like a jungle gym of possibilities! We love helping our employees grow in their careers, because it’s that shared drive to aim high that drives our business and our culture forward. By applying for this career opportunity, you’re living our values while investing in your career growth–and we applaud it. You’re unstoppable!
T-Mobile USA, Inc. is an Equal Opportunity Employer. All decisions concerning the employment relationship will be made without regard to age, race, ethnicity, color, religion, creed, sex, sexual orientation, gender identity or expression, national origin, religious affiliation, marital status, citizenship status, veteran status, the presence of any physical or mental disability, or any other status or characteristic protected by federal, state, or local law. Discrimination, retaliation or harassment based upon any of these factors is wholly inconsistent with how we do business and will not be tolerated.
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