Associate Director-AI Science

Verizon•Irving, TX

1d•Hybrid

About The Position

When you join Verizon, you want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife.

Requirements

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 in the job offered or as a Data Analyst, Data Engineer or Consultant, Software or Network Engineer, or in a related/similar position.
8 years in manipulating data and drawing insights from large data sets using Python, PySpark, and SQL (including Pandas and NumPy).
5 years with data mining utilizing Hadoop, Hive, BigQuery, Apache Kafka/Pulsar, Apache Flink, Apache Nifi, Splunk, Omni Sci, and Java.
2 years with mobile network ecosystems including LTE/5G NR and core IP protocols, applying RF and Signal Processing concepts to real-world scenarios, utilizing industry-standard engineering tools for troubleshooting or optimization.
2 years using AI/ML techniques including statistical modeling, predictive analytics, time series analytics, scikit-learn, XGBoost, Matplotlib, TensorFlow, PyTorch, OpenCV, Keras, AWS SageMaker, GCP Vertex AI, Tableau, and Qlik Sense.

Responsibilities

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.
Work with various business units to ensure that the team's strategy is aligned with broader company goals.
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.
Lead the development of network models and data products, using network performance data to provide insights for Network Field Engineering and Centralized Planning & Engineering.
Build solutions that contribute to a "self-optimizing and healing network".
Identify OKRs and KPIs for various projects to ensure that the economic impact of the models can be continuously measured and validated.
Create business cases and translate complex data findings into practical business implications for stakeholders.