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Job Location: Bellevue, WA
Job Detail:
This role is with T-Mobile. WayUp is partnering with T-Mobile to hire top talent.
- BE UNSTOPPABLE WITH US! T-Mobile is synonymous with innovation–and you could be part of the team that disrupted an entire industry! We reinvented customer service, brought real 5G to the nation, and now we’re shaping the future of technology in wireless and beyond. Our work is as exciting as it is rewarding, so consider the career opportunity below as your invitation to grow with us, make big things happen with us, above all, #BEYOU with us. Together, we won’t stop! Get hands-on experience, training—and a leg up on a bright future. Digital Innovation Lab (InLab) is a new team in the Product Design & Innovation of Digital, which is driving a culture of dare to innovate, rapid prototyping and fast experimentation that will unlock creativity and innovation in T-Mobile Digital. InLab is looking for an Innovation Data Scientist intern, who will be finding trends in data sets and developing next-generation algorithms to make the data useful for projects within our incubator for Digital-first consumer products. You will work with a team of software engineers, data engineers, product managers, in a startup like environment to design, implement, and deploy machine learning models to support consumer digital product innovation use cases. This is a rare opportunity, moving at the speed of a startup, with the backing and in house data (lots of data) of the Fortune 100 company. You will bridge the art of what’s possible across today’s rapidly evolving contextual digital experience and e-commerce landscape. SPECIFIC PROJECT(S): ML/AI modeling to support Contextual In-Store Digital Experience, such as Dynamic Pricing 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.
- 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. PREFERRED QUALIFICATIONS:
- Working knowledge of Python and SQL
- Machine Learning: Solid understanding of machine learning concepts and techniques related to supervised and unsupervised learning This role is not eligible for relocation. Intern must have reliable transportation to work in office.
Employer does not sponsor work visas for this position. Note that this also applies to individuals who are students in F-1 status who desire sponsorship after they complete their education. T-Mobile requires all employees in this position to be fully vaccinated for COVID-19, unless precluded from doing so by applicable law. The CDC currently defines fully vaccinated as two weeks after the second dose for Pfizer and Moderna, and two weeks after the single dose of Johnson & Johnson. T-Mobile will require proof of vaccination and will consider requests for exemption from this requirement during the offer phase (1) as a reasonable accommodation for medical reasons or sincerely held religious beliefs where the accommodation would not cause T-Mobile undue hardship or pose a direct threat to the health and safety of others, or (2) for other reasons under applicable law.
Intern wages range from $20/hour to $40/hour. The successful candidate’s actual pay will be based on experience/location
Never stop growing! T-Mobile 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. If you’d like to receive more information about careers at T-Mobile, sign up for the T-Mobile Talent Community today! https://www.tmobile.careers/profile/join/ 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.
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