Associate Director-AI Science

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.

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, collaborating with other teams across AI&D to build and integrate predictive and prescriptive models that drive value for the business, and working with various business units to ensure that the team's strategy is aligned with broader company goals (20%);
Responsible for leading 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%).

What we're looking for…

Bachelor's or foreign equivalent degree in Information Technology, Computer Science, Math, Statistics, Physics, Engineering, Analytics, or a related field, and 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. Experience therein to include 8 years in manipulating data and drawing insights from large data sets using Python, PySpark, and SQL (including Pandas and Num Py);

5 years with data mining utilizing Hadoop, Hive, Big Query, Apache Kafka/Pulsar, Apache Flink, Apache Nifi, Splunk, Omni Sci, and Java; 2 years with mobile network ecosystems including LTE/5G  core IP protocols, applying RF and Signal Processing concepts to real-world scenarios, utilizing industry-standard engineering tools for troubleshooting or optimization; and 2 years 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.

Where you'll be working

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.

Scheduled Weekly Hours

40

Equal Employment Opportunity

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