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You will be updated with latest job alerts via email$ 127400 - 229800
1 Vacancy
At TMobile 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 wealthbuilding opportunities through our annual stock grant employee stock purchase plan 401(k) and access to free yearround money coaches. Thats how were UNSTOPPABLE for our employees!
Job OverviewLeads and mentors a team of data scientists in the development of data science solutions
Manages data science projects from inception to completion applying advanced analytical techniques
Designs and implements algorithms in data analysis machine learning and artificial intelligence
Enhances the companys capabilities in predictive analytics and decisionmaking
Collaborates with various stakeholders to translate datadriven insights into strategic actions
Contributes to maintaining the companys position as a leader in the telecommunications industry
Participates in other duties or projects as assigned by business management as needed
7 years proven experience in predictive modeling data science and analysis in an ML engineer or data scientist role building and deploying ML models or hands on experience developing deep learning models
4 years demonstrated ability writing and speaking about technical concepts to business technical and lay audiences and giving datadriven presentations while articulating and translating business questions and using statistical techniques to arrive at an answer using available data
4 years experience with data querying wrangling cleaning and feature engineering in big data environments such as AWS Azure and Google Cloud
4 years experience in deploying data mining visualization and machine learning solutions using tools like Python R SAS in big data environments
Proficiency in SQL for complex data querying and management.
Expertise in designing and implementing algorithms for predictive analytics and decisionmaking.
Ability to lead and mentor a team of data scientists driving project completion and innovation.
Handson development experience with Azure services (e.g. Logic Apps Function Apps App Services Blob Storage CosmosDB).
Proficiency in GenAI workflows including embedding chunking and working with LLM models such as GPT4.
Familiarity with managed identities and security integration within Azure environments.
Skilled in managing data science projects from inception to completion ensuring alignment with business objectives.
Capability to translate datadriven insights into strategic actions that support business objectives.
Education:
Bachelors Degree Quantitative Subject area (math statistics economics computer science physics engineering)
Masters/Advanced Degree Quantitative Discipline (math statistics economics computer science physics engineering) (Preferred)
At least 18 years of age
Legally authorized to work in the United States
Travel:
Travel Required (Yes/No):No
DOT Regulated:
DOT Regulated Position (Yes/No):No
Safety Sensitive Position (Yes/No):No
The pay range above is the general base pay range for a successful candidate in the role. The successful candidates 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 TMobile employees in regular nontemporary roles are eligible for an annual bonus or periodic sales incentive or bonus based on their role. Most Corporate employees are eligible for a yearend bonus based on company and/or individual performance and which is set at a percentage of the employees 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 TMobile 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 parttime 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 fulltime employees and about 2.5 weeks for new parttime employees annually paid parental and family leave family building benefits backup care enhanced family support childcare subsidy tuition assistance college coaching short and longterm disability voluntary AD&D coverage voluntary accident coverage voluntary life insurance voluntary disability insurance and voluntary longterm care insurance. We dont stop there eligible employees can also receive mobile service & home internet discounts pet insurance and access to commuter and transit programs! To learn about TMobiles amazing benefits check out.Never stop growing!
As part of the TMobile team you know the Uncarrier doesnt have a corporate ladderits more like a jungle gym of possibilities! We love helping our employees grow in their careers because its that shared drive to aim high that drives our business and our culture forward. By applying for this career opportunity youre living our values while investing in your career growthand we applaud it. Youre unstoppable!
TMobile 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 Uncarrier. 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 or calling. Please note this contact channel is not a means to apply for or inquire about a position and we are unable to respond to nonaccommodation related requests.
Required Experience:
Staff IC
Full-Time