Itlearn360
Data Scientist job at T-Mobile. Bellevue, WA. 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! Ready to elevate your career and be a part of the Uncarrier journey at T-Mobile? Our team is searching for a Data Scientist responsible for applying machine learning techniques and statistical methods to tackle business problems. We collaborate with a multi-disciplinary team of technical and non-technical business partners on a wide range of challenges. We also 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 goal is to build real business value from data. We pride ourselves on encouraging a culture of innovation, advocating for agile methodologies, and promoting transparency in all that we do. Join us in embodying the spirit of the "Un-carrier" and make a tangible impact! If you are passionate about driving perfection and want to make a significant impact, apply today.
Responsibilities:
Extract, prepare and model large, sophisticated data sets using a combination of skills, including Gen AI (LLMs), machine learning theory, mathematics, statistics, and programming. Perform analytics and statistical analyses on ad hoc business problems. Demonstrated ability to define problems in mathematical terms. Communicate important information and insights to business leaders using verbal, written, and data visualization skills. Knowledge, Skills and Abilities:
2+ years proven experience in predictive modeling, data science, and analysis in an ML engineer or data scientist role. 2+ years experience with data scripting languages (e.g., SQL, Python, R), data visualization, and developing statistics-based analytics reports. Mathematics Calculus, linear algebra, statistics, and probability. Proven understanding of Python and SQL coupled with machine learning concepts. Education:
Bachelor's Degree Quantitative Subject area (math, statistics, economics, computer science, physics, engineering) At least 18 years of age Legally authorized to work in the United States Travel Required: No DOT Regulated Position: No Safety Sensitive Position: No Base Pay Range: $86,300 - $155,700 Corporate Bonus Target: 15% At T-Mobile, we cover all 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! 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 ApplicantAccommodation@t-mobile.com 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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Extract, prepare and model large, sophisticated data sets using a combination of skills, including Gen AI (LLMs), machine learning theory, mathematics, statistics, and programming. Perform analytics and statistical analyses on ad hoc business problems. Demonstrated ability to define problems in mathematical terms. Communicate important information and insights to business leaders using verbal, written, and data visualization skills. Knowledge, Skills and Abilities:
2+ years proven experience in predictive modeling, data science, and analysis in an ML engineer or data scientist role. 2+ years experience with data scripting languages (e.g., SQL, Python, R), data visualization, and developing statistics-based analytics reports. Mathematics Calculus, linear algebra, statistics, and probability. Proven understanding of Python and SQL coupled with machine learning concepts. Education:
Bachelor's Degree Quantitative Subject area (math, statistics, economics, computer science, physics, engineering) At least 18 years of age Legally authorized to work in the United States Travel Required: No DOT Regulated Position: No Safety Sensitive Position: No Base Pay Range: $86,300 - $155,700 Corporate Bonus Target: 15% At T-Mobile, we cover all 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! 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 ApplicantAccommodation@t-mobile.com 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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