Associate Data Scientist

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 Associate Data Scientist is responsible for applying statistical, advanced analytics, and at least three generations of AI to solve business problems: type 2 (classical AI or ML), type 3 (neural AI), type 4 (gen AI) or type 5 (agentic AI). They collaborate with a multi-disciplinary team of technical and non-technical business collaborators on a wide range of challenges to create 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! Our team is dynamic where no day is the same, and we are diverse and inclusive passionate about growth and transformation. If you're up to the challenge, apply today! Job Responsibilities: • Develop advanced analytical solutions to solve business problems; pre-process and perform exploratory data analysis on structured, unstructured and semi structured data across at least two modalities (text, audio, image, video); create features based on expertise in the domain; use predictive modeling techniques and statistical analysis to predict outcomes and behaviors; design intelligent agents to unlock automation and decision support. • Support business partners and product owners to understand business challenges, develop cases, capture requirements, co-create solutions that drive business change that solve the challenges and deliver impactful business outcomes. • 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. • Collaborate with cross-functional team comprised of other data scientists, data engineers, ML engineers, and data analysts. • Leverage the Agile methodology to ensure alignment of data science roadmap, features, and stories to business priorities and value streams. • Also responsible for other Duties/Projects as assigned by business management as needed. (NON- NEGOTIABLE). • Also responsible for other Duties/Projects as assigned by business management as needed. Education and Work Experience: • Bachelor's Degree Quantitative Discipline (math, statistics, analytics, data science, economics, computer science, physics, engineering) (Required) • Master's/Advanced Degree Quantitative Discipline (math, statistics, analytics, data science, economics, computer science, physics, engineering) (Preferred) • Less than 2 years 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 Preferred • Less than 2 years Experience with Python and SQL Preferred • Less than 2 years Experience in visualization Preferred Knowledge, Skills and Abilities: • Basic calculus, linear algebra, statistics, and probability (Required) • Good Knowledge of Python and SQL (Required) • Solid understanding of machine learning concepts and techniques related to supervised and unsupervised learning. (Required) • Familiarity with Agile Methodology (Preferred) • Good communication skills. (Required) • Good analytical and critical thinking skills. (Required) Licenses and Certifications: • Certified Analytics Professional (CAP) (Preferred) • Cloudera Data Platform Generalist Certification (Preferred) • Data Science Council of America (DASCA) Senior Data Scientist (SDS) (Preferred) • Data Science Council of America (DASCA) Principal Data Scientist (PDS) (Preferred) • Azure Data Scientist Associate: Data Scientist (Preferred) • At least 18 years of age • Legally authorized to work in the United States Travel: Travel Required (Yes/No): Yes DOT Regulated: DOT Regulated Position (Yes/No): No Safety Sensitive Position (Yes/No): No Base Pay Range: $67,800 - $122,300 Corporate Bonus Target: 10% 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. 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! 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 [email protected] 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 maintains a drug-free workplace. Job Details Job title Associate Data Scientist Position Type Full Time Date Posted 2025-08-25 Primary Quest ID PRIMARY_EXTERNAL_QUESTIONNAIRE_V3 Second Quest ID Job Classification Professional Brand T-Mobile USA, Inc. Career area Information Technology Location(s) 3650 131st Ave SE, Bellevue, Washington, 98006 Job ID REQ330332