Principal Data Scientist

About the position

The Principal Data Scientist role at Verizon focuses on leveraging artificial intelligence and machine learning to enhance network performance and customer experience. This position involves developing advanced statistical models and algorithms, analyzing large datasets, and collaborating with various teams to implement data-driven solutions. The role requires strong analytical skills and the ability to communicate insights effectively to leadership.

Responsibilities

• Drive data-derived insights across the business domain by developing advanced statistical models and machine learning algorithms.
• Direct data gathering, assess data validity, and synthesize data into large analytics datasets to support project goals.
• Analyze structured and unstructured data using data mining, statistical, machine learning, and deep learning tools.
• Prepare supporting documents and reports for projects.
• Create visualizations from modeled data for executive and engineering consumption.

Requirements

• Bachelor's degree or six or more years of work experience.
• Six or more years of relevant work experience.
• Four or more years of experience in advanced analytics and predictive modeling in a consulting role.
• Experience with all phases of end-to-end analytics projects.
• Experience building models using statistical techniques such as supervised and unsupervised machine learning models, deep learning, and text classification.
• Knowledge of Python, SQL, PySpark, Scala, and/or other languages and tools.
• Experience with cloud-centric technologies.

Nice-to-haves

• Master's degree.
• Four or more years of Wireless Network (Telecommunications or Routing) experience.
• Exposure to RAN systems performance and planning domains.
• Experience with Google Cloud (GCP).
• Experience in data lake (Hadoop), SQL, ETL.
• Problem solving, analytical, and research skills.
• Excellent verbal and written communication skills.
• Experience presenting to and influencing functional leaders and partners.

Benefits

• Hybrid work environment with defined work location and work from home options.
• Minimum eight assigned office days per month.