Job Description

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! Job Overview T-Mobile is America's supercharged Un-carrier, delivering an advanced 4G LTE and transformative nationwide 5G network that will offer reliable connectivity for all. The Senior Data Scientist will be part of the 'Data & AI team' AI/ML team and will be responsible for applying statistical, advanced analytics, machine learning, and AI techniques to solve business problems. You will collaborate with a multi-disciplinary team of technical and non-technical business stakeholders on a wide range of challenges. You must be able to work across the entire machine learning (ML) lifecycle, including problem framing, data collection, exploratory data analysis, model development, deployment, performance measurement, and business adoption. Job Responsibilities : Support teams' mission to partner with leaders across T-Mobile to understand the "art of the possible" and identify AI/ML opportunities to grow our business, reduce costs, manage risk, detect anomalous behavior, forecast/predict outcomes, and delight our customers Support business partners and product owners to understand business challenges, develop business cases, capture requirements, co-create solutions that drive business change that solve the challenges and deliver impactful business outcomes Provide senior-level guidance and mentorship to the data science team, including reviewing projects, models, and code for peers and junior team members. Design advanced analytics to solve business problems; preprocess and perform exploratory data analysis on structured and unstructured data; create features based on expertise in the domain; use predictive modeling techniques and statistical analysis to predict outcomes and behaviors Leverage the Agile methodology to ensure alignment of data science roadmap, features, and stories to business priorities and value streams Collaborate with cross-functional team comprised of other data scientists, data engineers, ML engineers, and data analysts. Partner with other technology partners such as architects, engineers, product managers, scrum masters, release train engineers, and agile coaches to deliver on targeted business outcomes. Education : Bachelor's Degree Quantitative Discipline (math, statistics, economics, computer science, physics, engineering, etc.) (Required) Master's/Advanced Degree Quantitative Discipline (math, statistics, economics, computer science, physics, engineering) (Preferred) Work Experience : 4-7 years of industry experience in predictive modeling, data science, machine learning, advanced analytics, and AI in a data scientist role, ML Scientist, or deep learning scientist role. 4-7 years of experience with programming languages like Python, PySpark, SQL, and/or R. Experience working with relational databases using SQL Experience with data querying, wrangling, cleaning, and feature engineering working with common relational and non-relational databases in big data environments such as Azure, AWS, or Google Cloud Experience articulating and translating business questions and using statistical techniques to arrive at an answer using data Experience writing and speaking about technical concepts to business, technical, and lay audiences and giving data-driven presentations Experience generating data-driven insights and explaining machine learning and analytical concepts to diverse audiences and multiple levels of leadership Experience with big data architecture and pipeline, such as Spark, Hadoop, Hive, and Kafka is a plus Experience in data visualization is a plus Experience in the telecom industry is a plus Knowledge, Skills and Abilities : Excellent knowledge of ML algorithms (e.g., Linear Regression, Logistic Regression, Clustering/Segmentation, Decision Tree, Random Forest Algorithm, GBM, DNN, Naive Bayes, Support Vector Machine, Natural Language Processing, Large Language Models and Gen AI, etc.) Expertise in applying statistical, advanced analytics, machine learning, and/or AI, deep learning concepts, and techniques to solve business problems. Strong programming skills using Python, SQL, PySpark Experience with Python libraries such as Pandas, NumPy, SciPy, MatPlotLib and Scikit-Learn Strong analytical, critical-thinking skills with demonstrated ability to identify/analyze/synthesize data and use the data to drive decisions. Experience with CI/CD pipelines, training, retraining, inferencing, MLOps and monitoring complex ML algorithms in production environment. Superior communication and persuasion skills, talent for storytelling, visualization, and creating insights from data to deliver practical recommendations for business action Good knowledge of calculus, linear algebra, statistics, and probability

• 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 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, 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 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. T-Mobile

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Holiday work, Full time, Temporary work, Work experience placement, Local area, Flexible hours,

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