Associate Director-AI Science

What you’ll be doing…

• Lead a data science and analytics team to create data‑driven solutions and insights, applying advanced data science techniques to solve network‑related problems.
• Collaborate with other teams across AI & D to build and integrate predictive and prescriptive models that drive value for the business, and work with various business units to align the team’s strategy with broader company goals (20%).
• Lead data mining, extraction of valuable insights from large datasets, validation of data quality, and exploratory and targeted data analyses using statistical methods to uncover trends and patterns that can inform business decisions (30%).
• Lead the development of network models and data products, using network performance data to provide insights for Network Field Engineering and Centralized Planning & Engineering and to build solutions that contribute to a "self‑optimizing and healing network" (30%).
• Identify OKRs and KPIs for various projects to ensure that the economic impact of the models can be continuously measured and validated, and create business cases and translate complex data findings into practical business implications for stakeholders (20%).

• Bachelor’s or foreign equivalent degree in Information Technology, Computer Science, Math, Statistics, Physics, Engineering, Analytics, or a related field.
• 8 years of progressive, post-baccalaureate experience as a Data Analyst, Data Engineer, Consultant, Software or Network Engineer, or in a similar position.
• 8 years of experience manipulating data and drawing insights from large data sets using Python, PySpark, and SQL (including Pandas and Num Py). 5 years of experience with data mining using Hadoop, Hive, Big Query, Apache Kafka/Pulsar, Apache Flink, Apache NiFi, Splunk, Omni Sci, and Java.
• 2 years of experience with mobile network ecosystems including LTE/5G  core IP protocols, applying RF and Signal Processing concepts to real-world scenarios, and using industry-standard engineering tools for troubleshooting or optimization.
• 2 years of experience using AI/ML techniques including statistical modeling, predictive analytics, time series analytics, scikit-learn, XGBoost, Matplotlib, Tensor Flow, PyTorch, OpenCV, Keras, AWS Sage Maker, GCP Vertex AI, Tableau, and Qlik Sense.
• Hybrid role; ability to work from home.

Must Reference: Job code SHRADJ-W.

In this hybrid role, you’ll have a defined work location that includes working from home and a minimum of three days per week in the office, which will be set by your manager. Employees are responsible for maintaining compliance with hybrid work policies.

40

Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to veteran status, disability or other legally protected characteristics.