Senior Data Scientist developing innovative solutions for customer-facing products at T-Mobile. Collaborating cross-functionally to deliver scalable machine learning systems that unlock new revenue opportunities.
Responsibilities
Extract, prepare and model large, complex data sets using a combination of skills, including machine learning theory, mathematics, statistics, and programming.
Deliver on-time quality analysis, interpretation, and synthesis of data into effective, concise, and actionable recommendations that enable intelligent decisioning for the company.
Provide senior-level guidance and mentorship to the data science team, including reviewing projects, models, and code for peers and junior team members.
Work with engineering teams to implement and improve machine learning pipelines and production-ready models.
Effectively communicate important information and insights to business leaders using verbal, written, and data visualization skills.
4-7 years Industry 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 Experience 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 (Required)
2-4 years Experience in the telecom industry (Preferred)
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