Principal Data Scientist

Key Skills

Apache Kafka, Clustering, Continuous Integration & Continuous Delivery - CI/CD, Deep Learning, Generative AI, Large Language Models - LLMs, Natural Language Processing (NLP), Neural Networks, NumPy, Pandas, Python Programming, R Programming, Regression Analysis, Scikit-learn, SciPy

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!

Ready to elevate your career and be a part of the Uncarrier journey at T-Mobile?

Our team is searching for a Principal Data Scientist responsible for leading technical innovation within our data science team. We collaborate with a multi-disciplinary team of technical and non-technical business partners on a wide range of challenges and develops the next generation of advanced analytics and Machine Learning (ML) modeling products and solutions. You'll be entrusted with developing the Artificial Intelligence (AI) that drives the most important aspects of the business. This position is at the forefront of new AI technologies and represents proficiency in existing machine learning techniques. Paramount to this job is the understanding that a Principal Data Scientist is a forward-thinking individual contributor that helps define the long-term technical vision of the data science teams within T-Mobile.

We pride ourselves on encouraging a culture of innovation, advocating for agile methodologies, and promoting transparency in all that we do. Join us in embodying the spirit of the 'Un-carrier' and make a tangible impact! If you are passionate about driving perfection and want to make a significant impact, apply today!

RESPONSIBILITIES:

• 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
• Identify critical and new technologies that will support and extend our consumer data, data integration, and quantitative analytic capabilities.
• Scale and own the implementation, assessment and standardization of advanced analytics and modeling toolkits for our data science teams.
• Partner with data and machine learning engineering teams to craft data management strategies, architecture, governance, pipelines, and infrastructure enabling effective modeling environments for data science teams
• Provide senior level mentorship to the data science and measurement science teams on approach and methodologies
• Communicate important information and insights to business leaders using verbal, written, and data visualization skills.

KNOWLEDGE, SKILLS AND ABILITIES:

• 7+ years Proven experience in predictive modeling, data science, and analysis in a data scientist, research scientist, applied scientist, ML scientist or engineer role building and deploying ML models or hands on experience developing deep learning or large language models
• 7+ 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
• 7+ years demonstrated ability with statistical methods and sophisticated machine and deep learning modeling techniques. For example - Linear Regression, Logistic Regression, Clustering/Segmentation, Bayesian inference, NLP, Large Language Models, Gen AI, Decision Tree, Random Forest Algorithm, GBM, Naive Bayes, Support Vector Machine, and Neural Networks, etc.
• 7+ years proven experience with big data architecture and pipeline, Hadoop, Hive, Spark, Kafka, etc. coupled with validated ability with data scripting languages (e.g., Python, R) and relational database using SQL
• Experience with Python libraries such as Pandas, NumPy, SciPy, Scikit-Learn
• Strong analytical, critical-thinking skills with demonstrated ability to identify/analyze/synthesize data and use the data to drive decisions.
• Experience with CI/CD pipelines, training, retraining, influencing, and monitoring complex ML algorithms in production environment.
• Mathematics Calculus, linear algebra, statistics, and probability
• Outstanding communication skills, ability to work with multi-functional teams

EDUCATION:

• Bachelor's Degree Quantitative Subject area (math, statistics, economics, computer science, physics, engineering)
• PhD/Master's (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 - $229,800