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
Associate Data Scientist is responsible for applying statistical, advanced analytics, machine learning, and AI techniques to solve business problems. They collaborate with a multi-disciplinary team of technical and non-technical business stakeholders on a wide range of challenges to create real business value from data.

Job Responsibilities :

• Develop advanced analytical solutions to solve business problems; pre-process 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

• 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

• 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-NEGOTITABLE)

Education :

• 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)

Work Experience :

• 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)

• Strong understanding of natural language processing (NLP) (Preferred)

• Proficiency in Python and AI frameworks (TensorFlow, PyTorch) (Preferred)

• Knowledge of generative AI models and customization.

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. 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

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 [email protected] 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.

Job Tags

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

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