T-MOBILE USA, Inc.
Overview
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. 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. This is not a remote position.
T-Mobile is a hybrid work environment requiring work in the office three (3) days per week. The successful candidate will be located in Seattle, WA or New York, NY areas. Role and Responsibilities
As a Senior Data Scientist working with the Product Innovation Team, you are responsible for leading the development of innovative solutions that transform data into high-impact, customer-facing products. In this strategic and technical role, you will work cross-functionally with other data scientists, product managers, engineers, data stewards, and commercial stakeholders to design and deliver scalable machine learning systems that unlock new revenue opportunities and power the next generation of data-driven offerings. You must demonstrate expertise 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 Senior Data Scientist represents technical expertise and leadership within the Data Science team in creating real business value from data. Job Responsibilities
Extract, prepare and model large, complex 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 data science team, including reviewing projects, models, and code for peers and junior team members. Work with engineering teams to implement and improve machine learning pipelines and production-ready models. Effectively communicate important information and insights to business leaders using verbal, written, and data visualization skills. Education and Work Experience
Bachelor's Degree in a Quantitative Discipline (math, statistics, economics, computer science, physics, engineering, etc.) (Required) Master's/Advanced Degree in a Quantitative Discipline (math, statistics, economics, computer science, physics, engineering) (Preferred) 4-7 years of industry 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 (Required) 4-7 years of experience with data scripting languages (e.g., SQL, Python, R) (Required) 2-4 years of experience with big data architecture and pipeline, Hadoop, Hive, Spark, Kafka, etc. (Required) 4-7 years of experience articulating and translating business questions and using statistical techniques to arrive at an answer using available data (Required) 4-7 years of experience in data visualization (Required) 4-7 years of experience working with relational databases using SQL (Required) 2-4 years of experience in the telecom industry (Preferred) Knowledge, Skills and Abilities
Mathematics: calculus, linear algebra, statistics, and probability (Required) Programming: Python and SQL (Required) Machine Learning: applying machine learning concepts and techniques related to supervised and unsupervised learning (Required) Communication: strong communication skills, ability to work with cross-functional teams Other
Age: At least 18 years of age Work Authorization: Legally authorized to work in the United States Travel and Compliance
Travel: No travel required DOT Regulated: Not regulated by DOT Safety Sensitive Position: No 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 actual pay will be based on factors such as location, qualifications, and experience. Compensation and Benefits
At T-Mobile, employees in regular, non-temporary roles are eligible for an annual bonus or periodic incentives based on role and performance. Most corporate employees are eligible for a year-end bonus based on company and/or individual performance. Some positions may have monthly bonuses based on performance. For details on pay ranges by location, refer to the posting. Our benefits exemplify the spirit of One Team, Together. Full- and part-time employees have access to medical, dental, and vision insurance; a flexible spending account; 401(k); employee stock grants and an employee stock purchase plan; paid time off and holidays; parental and family leave; family-building benefits; back-up care; childcare subsidy; tuition assistance and coaching; disability and life insurance options; and other voluntary coverages. Active employees may also receive mobile service and home internet discounts, pet insurance, and commuter programs. For more information, visit the benefits site at www.t-mobilebenefits.com. Never stop growing. T-Mobile USA, Inc. is an Equal Opportunity Employer. All decisions concerning the employment relationship will be made without regard to protected characteristics. If you are an individual with a disability and need reasonable accommodation, please email ApplicantAccommodation@t-mobile.com or call 1-844-873-9500. This channel is for accommodation requests only and not for general inquiries about positions.
#J-18808-Ljbffr
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. 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. This is not a remote position.
T-Mobile is a hybrid work environment requiring work in the office three (3) days per week. The successful candidate will be located in Seattle, WA or New York, NY areas. Role and Responsibilities
As a Senior Data Scientist working with the Product Innovation Team, you are responsible for leading the development of innovative solutions that transform data into high-impact, customer-facing products. In this strategic and technical role, you will work cross-functionally with other data scientists, product managers, engineers, data stewards, and commercial stakeholders to design and deliver scalable machine learning systems that unlock new revenue opportunities and power the next generation of data-driven offerings. You must demonstrate expertise 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 Senior Data Scientist represents technical expertise and leadership within the Data Science team in creating real business value from data. Job Responsibilities
Extract, prepare and model large, complex 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 data science team, including reviewing projects, models, and code for peers and junior team members. Work with engineering teams to implement and improve machine learning pipelines and production-ready models. Effectively communicate important information and insights to business leaders using verbal, written, and data visualization skills. Education and Work Experience
Bachelor's Degree in a Quantitative Discipline (math, statistics, economics, computer science, physics, engineering, etc.) (Required) Master's/Advanced Degree in a Quantitative Discipline (math, statistics, economics, computer science, physics, engineering) (Preferred) 4-7 years of industry 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 (Required) 4-7 years of experience with data scripting languages (e.g., SQL, Python, R) (Required) 2-4 years of experience with big data architecture and pipeline, Hadoop, Hive, Spark, Kafka, etc. (Required) 4-7 years of experience articulating and translating business questions and using statistical techniques to arrive at an answer using available data (Required) 4-7 years of experience in data visualization (Required) 4-7 years of experience working with relational databases using SQL (Required) 2-4 years of experience in the telecom industry (Preferred) Knowledge, Skills and Abilities
Mathematics: calculus, linear algebra, statistics, and probability (Required) Programming: Python and SQL (Required) Machine Learning: applying machine learning concepts and techniques related to supervised and unsupervised learning (Required) Communication: strong communication skills, ability to work with cross-functional teams Other
Age: At least 18 years of age Work Authorization: Legally authorized to work in the United States Travel and Compliance
Travel: No travel required DOT Regulated: Not regulated by DOT Safety Sensitive Position: No 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 actual pay will be based on factors such as location, qualifications, and experience. Compensation and Benefits
At T-Mobile, employees in regular, non-temporary roles are eligible for an annual bonus or periodic incentives based on role and performance. Most corporate employees are eligible for a year-end bonus based on company and/or individual performance. Some positions may have monthly bonuses based on performance. For details on pay ranges by location, refer to the posting. Our benefits exemplify the spirit of One Team, Together. Full- and part-time employees have access to medical, dental, and vision insurance; a flexible spending account; 401(k); employee stock grants and an employee stock purchase plan; paid time off and holidays; parental and family leave; family-building benefits; back-up care; childcare subsidy; tuition assistance and coaching; disability and life insurance options; and other voluntary coverages. Active employees may also receive mobile service and home internet discounts, pet insurance, and commuter programs. For more information, visit the benefits site at www.t-mobilebenefits.com. Never stop growing. T-Mobile USA, Inc. is an Equal Opportunity Employer. All decisions concerning the employment relationship will be made without regard to protected characteristics. If you are an individual with a disability and need reasonable accommodation, please email ApplicantAccommodation@t-mobile.com or call 1-844-873-9500. This channel is for accommodation requests only and not for general inquiries about positions.
#J-18808-Ljbffr