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Sr Data Scientist
3 months ago
At T-Mobile, we're not just using data science; we're revolutionizing fraud detection and mitigation with innovative techniques and technologies. We're on the hunt for a Senior Data Scientist who's eager to dive in and wield every tool in the arsenal-and perhaps discover new ones along the way-to craft unique solutions to intricate challenges. As a Senior Data Scientist, you will lead the application of machine learning techniques and statistical methods to solve business problems and be able to take a project from concept through the finish line into production. We're looking for someone that's passionate about data modeling, forecasting, optimization, and has a strong vision of how data science and engineering can create lasting value for our customers and T-Mobile. You will collaborate with a multi-disciplinary team of technical and non-technical business stakeholders on a wide range of challenges. 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.
Join us and be a driving force in shaping the future of data-driven decision-making
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 meaningful information and insights to business leaders using verbal, written, and data visualization skills.
Education:
- Bachelor's degree in a Quantitative field in Math, Statistics, Economics, Computer Science, Physics, Engineering, etc. (Required)
- Master's/Advanced degree in a Quantitative field Statistics, Economics, Computer Science, Physics, Engineering, etc. (Preferred)
Work Experience:
- 4-7 years of industry experience in predictive modeling, data science, and analysis in aa Machine Learning Engineer or Data Scientist role building and deploying ML models or hands on experience developing deep learning models (Required)
- 4-7 years experience with data scripting languages (e.g., SQL, Python, R) (Required)
- 2-4 years experience with big data architecture and pipeline, Hadoop, Hive, Spark, Kafka, Aetc. (Required)
- 4-7 years experience articulating and translating business questions and using statistical techniques to arrive at an answer using available data (Required)
- 4-7 years experience in data visualization (Required)
- 4-7 years experience working with relational database using SQL (Required)
- 2-4 years experience in the telecom industry (Preferred)
Knowledge, Skills and Abilities:
- Mathematics Calculus, linear algebra, statistics, and probability (Required)
- Proficiency in programming languages such as Python or R, along with experience in relevant libraries and frameworks (e.g., scikit-learn, TensorFlow, PyTorch) (Required)
- Strong understanding of statistical methods and techniques, including hypothesis testing, regression analysis, and time series forecasting. (Required)
- Knowledge of Natural Language Processing (NLP) and Large Language Models (LLM), with experience in text mining, sentiment analysis, and language understanding. (Required)
- Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., Azure, AWS, GCP, Snowflake) for scalable data processing and building artificial intelligence (AI)/machine learning (ML) solutions. (Required)
- Machine Learning: Expertise applying machine learning concepts and techniques related to supervised and unsupervised learning (Required)
- Communication Strong communication skills, ability to work with cross functional teams (Required)
#LI-Corporate
- At least 18 years of age
- Legally authorized to work in the United States
- 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, while Retail and Business Sales roles are eligible for monthly or quarterly sales incentives. And since we are ALL owners, EVERY employee at T-Mobile is eligible for an Annual Stock Grant. For information about T-Mobile's amazing benefits, check out https://careers.t-mobile.com/culture-and-benefits/
Travel:
Travel Required (Yes/No):No
DOT Regulated:
DOT Regulated Position (Yes/No):No
Safety Sensitive Position (Yes/No):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 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, click here.
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 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.