Principal Data Science, GenAI, T-Mobile

T-Mobile

Location:

United States, Bellevue ▼

Overland Park

Frisco

Category:

IT - Software Development

Contract Type:

Employment contract

Salary:

127400.00 - 229800.00 USD / Year

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Job Description:

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 Responsibility:

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

Requirements:

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
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

What we offer:

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
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
mobile service & home internet discounts
pet insurance
and access to commuter and transit programs

Additional Information:

Job Posted:

April 05, 2025

Employment Type:

Fulltime

Work Type:

On-site work

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Principal Data Science, GenAI