Sr. Data Scientist, GenAI

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
The Senior Data Scientist at T-Mobile is instrumental in leveraging advanced statistical analysis and machine learning techniques to extract valuable insights from data, enhancing decision-making processes and business strategies. They lead the development and implementation of sophisticated predictive models and analytics solutions, significantly contributing to the company's competitive edge and operational efficiency. By managing and mentoring junior data scientists, they foster a culture of innovation and advanced analytical thinking within the team. Their expertise supports business development and helps in aligning data-driven projects with enterprise goals. Overall, their role is crucial in transforming raw data into actionable strategies that drive T-Mobile's success in the market.

Job Responsibilities:

Develops and implements sophisticated predictive models and analytics solutions to drive strategic decision-making and enhance operational efficiency

Leads the extraction and analysis of data using advanced statistical techniques to identify trends, patterns, and insights

Manages and mentors junior data scientists, fostering a culture of innovation and advanced analytical thinking within the team

Work with cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver GenAI powered products

Evaluates the effectiveness of data sources and data-gathering techniques and improves data collection methods

Presents findings and translates complex data into actionable strategies for senior management and stakeholders

Participates in other duties or projects as assigned by business management as needed

Knowledge, Skills, and Abilities:

4+ 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+ years demonstrated ability with data scripting languages (e.g., SQL, Python, R) coupled with big data architecture and pipeline, Hadoop, Hive, Spark, Kafka, etc. (Required)

4+ years articulating and translating business questions and using statistical techniques to arrive at an answer using available data, including data visualization. (Required)

Mathematics Calculus, linear algebra, statistics, and probability

Programming expertise in Python and SQL and ability working with relational database using SQL

Expertise applying machine learning concepts and techniques related to supervised and unsupervised learning

Strong communication skills, ability to work with multi-functional teams

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)

* 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, 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 or calling . 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.

EOE Statement

We Take Equal Opportunity Seriously - By Choice

T-Mobile USA, Inc. is an Equal Opportunity Employer. All decisions concerning the employment relationship will be made without regard to age, race, color, religion, creed, sex, sexual orientation, gender identity or expression, national origin, marital 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 or harassment based upon any of these factors is wholly inconsistent with our Company values and will not be tolerated. Furthermore, such discrimination or harassment may violate federal, state, or local law.