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

We are seeking a versatile and analytical Data Scientist to join our Predictive Data Science team. The successful candidate will demonstrate sophisticated analytics to provide data-driven insights that advise marketing strategies, deliver contextualized customer experiences, and drive business growth. You will work closely with multi-functional teams to analyze consumer behavior, perform advanced statistical techniques on customer data, and develop predictive models that improve decision-making across the organization.

Job Responsibilities

Develop and implement predictive and prescriptive models to understand consumer behavior, predict responses to marketing offers, and assess impact on customer acquisition, retention, and revenue.
Build and refine audience segmentation frameworks to support targeted marketing efforts and fully contextualized customer experiences.
Partner with marketing teams to build marketing treatments by unboxing model predictors, articulating specific drivers of customer behavior, and developing cases around adaptable actions.
Design experiments to evaluate the efficiency of targeted offers and CRM campaign, using causal inference, attribution modeling, and sophisticated experimentation techniques.
Develop statistical dashboards and visualizations that translate sophisticated data into clear, actionable insights for business team members.
Collaborate with data engineering teams to ensure robust data pipelines and efficient data access for analysis and modeling.
Know the latest with emerging trends in data science, ML, and marketing analytics, and apply innovative techniques to solve business problems.

Education and Work Experience:

Bachelor's Degree Quantitative Subject area (math, statistics, economics, computer science, physics, engineering, etc.) (Required)
Master's/Advanced Degree Quantitative Subject area (math, statistics, economics, computer science, physics, engineering) (Preferred)
4-7 years Proven 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 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, etc. Required
4-7 years of proven ability 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
2-4 years Experience in the telecom industry Preferred

Knowledge, Skills and Abilities:

Mathematics Calculus, linear algebra, statistics, and probability (Required)
Programming Expertise in Python and SQL (Required)
Machine Learning: Expertise applying machine learning concepts and techniques related to supervised and unsupervised learning (Required)
Communication Strong interpersonal skills, ability to work with multi-functional teams ()

Preferred Qualifications:

Experience in marketing analytics or consumer insights.
Familiarity with PySpark and Databricks
Familiarity with cloud-based data platforms (e.g., AWS, Google Cloud, Snowflake).
Knowledge of digital marketing channels and tools (e.g., Google Analytics, CRM systems).

#CareersNotJobs

At least 18 years of age
Legally authorized to work in the United States

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, copy and paste this link into your browser: https://paylookup.t-mobile.com/paylookup?reqID=REQ322469

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.

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