Data science Jobs in Frisco, TX

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Job Overview

The Principal Data Scientist at T-Mobile encompasses tasks such as conducting market analysis, developing an opportunity pipeline, collaborating with clients to ascertain technical specifications for proof-of-concepts (POC), producing team training materials, and promoting thought leadership.

The ideal candidate will have a robust background in both business and technology, equipping them to engage with cross-functional teams effectively. You will possess specialized knowledge in Generative AI and significant machine learning applications, along with experience in system and solution development on Edge devices. Your technical expertise will enable you to clearly convey the advantages of our Generative AI services and solutions to data scientists and C-Level executives. Furthermore, you will have a solid grasp of current trends, the ecosystem, and opportunities within the Generative AI market, demonstrating a strong enthusiasm for market development and advocacy. Proficiency in interacting, communicating, and collaborating with both internal teams and external customers and partners is essential.

Job Responsibilities :

Leads and mentors a team of data scientists in the development of data science solutions

Manages data science projects from inception to completion, applying advanced analytical techniques

Designs and implements algorithms in data analysis, machine learning, and artificial intelligence

Enhances the company's capabilities in predictive analytics and decision-making

Collaborates with various stakeholders to translate data-driven insights into strategic actions

Contributes to maintaining the company's position as a leader in the telecommunications industry

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

Knowledge, skills and abilities :

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

4+ years demonstrated ability writing and speaking about technical concepts to business, technical, and lay audiences and giving data-driven presentations while articulating and translating business questions and using statistical techniques to arrive at an answer using available data

4+ years experience with data querying, wrangling, cleaning, and feature engineering in big data environments such as AWS, Azure, and Google Cloud

4+ years experience in deploying data mining, visualization, and machine learning solutions using tools like Python, R, SAS in big data environments

Proficiency in SQL for complex data querying and management.

Expertise in designing and implementing algorithms for predictive analytics and decision-making.

Ability to lead and mentor a team of data scientists, driving project completion and innovation.

Hands-on development experience with Azure services (e.g., Logic Apps, Function Apps, App Services, Blob Storage, CosmosDB).

Proficiency in GenAI workflows, including embedding, chunking, and working with LLM models such as GPT-4.

Familiarity with managed identities and security integration within Azure environments.

Skilled in managing data science projects from inception to completion, ensuring alignment with business objectives.

Capability to translate data-driven insights into strategic actions that support business objectives.

Education :

Bachelor's Degree Quantitative Subject area (math, statistics, economics, computer science, physics, engineering)

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 : $127,400 - $229,800Corporate Bonus Target : 20%

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, ;paradox=1

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 -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.