Manager – Data Science

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!

The Manager, Data Science - Fiber Acquisition is a pivotal role that drives innovative data science initiatives across our business roadmap. By leading a dynamic team of data scientists, analysts, and engineers, you will orchestrate efforts to optimize fiber and broadband penetration, ensuring our solutions are both innovative and effective. This role involves collecting critical business inputs, developing and maintaining a strategic resource planning framework, and successfully delivering high-impact projects through epics and sprints.
As the Manager, you will balance the needs of your team with business requirements, identifying and addressing opportunities for operational improvement. Your responsibilities will include hiring, developing, and managing a talented team, making key decisions on performance and salary, and shaping the short and long-term planning of resources. This is an exciting opportunity to lead transformative projects that drive our success in the fiber and broadband industry.

Key Responsibilities:

• Collaborates with FP&A, Pricing, Analytics, and field partners to drive towards growth objectives across both marketing and promotions
• Conducts region-level insights gathering to develop a playbook of initiatives to drive growth across each of the regions as an iterative and at a regular, recurring cadence
• Lead the development of major data science initiatives from problem framing, data collection, model development, insights generation and presentation, deployment, and performance measurement.
• Hire, develop, manage, and retain a team of data scientists with diverse skills and experience levels.
• Collaborate with cross-functional teams to identify and solve business problems using data science techniques.
• Continuously improve data science operations to optimize efficiency, create scalable solutions, and build a world-class data science team.
• Perform other duties/projects as assigned by business management as needed.

Qualifications:

• 4+ years of experience implementing data science-driven solutions and explaining complex machine learning and analytical concepts, presenting data insights and recommendations to diverse audiences and multiple levels of leadership.
• 2 years of management experience or leading/mentoring a data science team.
• 4+ years of experience with data querying, wrangling, cleaning, and feature engineering, working with common relational and non-relational databases in big data environments such as AWS, Azure, and Google Cloud.
• 4+ years of experience using Python, R, and other predictive modeling and machine learning tools in big data environments.
• 4+ years of experience working with relational databases using SQL.
• 4+ years of experience building and deploying data mining, visualization, statistical models, AI, and machine learning solutions using various supervised/unsupervised ML algorithms.
• 2+ years of experience in the telecom industry.

Skills and Knowledge:

• Mathematics: Calculus, linear algebra, statistics, and probability.
• Programming: Expertise in Python and SQL.
• Machine Learning: Expertise in applying machine learning concepts and techniques related to supervised and unsupervised learning.
• Rationalization: Ability to work with cross-functional teams to clearly define business problems by recognizing relevant facts.
• Communication: Ability to explain complex topics to both technical and non-technical audiences.
• Project Management: Strong organizational skills with the ability to prioritize and manage multiple workstreams.
• Fiber Installation and Marketing: Understanding of the fiber installation process, market dynamics, and customer acquisition strategies in the fiber and broadband industry.
• Data-Driven Marketing: Experience in using data science to optimize marketing campaigns, improve customer segmentation, and enhance targeting strategies for fiber and broadband services.
• Geospatial Analysis: Proficiency in using geospatial data and tools to analyze and optimize fiber network deployment and expansion.

Education:

• Bachelor's Degree: Required in Math, Statistics, Econometrics, Data Science, Analytics, Operations Research, Behavioral Science, or another analytical/quantitative field.
• Master's/Advanced Degree: Preferred in Math, Statistics, Econometrics, Data Science, Analytics, Operations Research, Behavioral Science, or another analytical/quantitative field.

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


 

Base Pay Range: $133,800 - $241,400Corporate 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=REQ309410¶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.

Talent comes in all forms at the Un-carrier. If you are an individual with a disability and need reasonable accommodation at any point in the application or interview process, please let us know by emailing [email protected] or calling 1-844-873-9500. Please note, this contact channel is not a means to apply for or inquire about a position and we are unable to respond to non-accommodation related requests.