Principal Data Scientist

Overview

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.

As a Principal Data Scientist, you will drive profitable growth and business innovation by applying cutting‑edge machine learning techniques and advanced AI technology. You will spearhead high‑impact data science projects that revolutionize product personalization, marketing effectiveness, channel optimization, customer experience, and operational efficiency. Working closely with a talented team of data scientists, ML engineers, software developers, and business stakeholders, you will play a pivotal role in designing and delivering Verizon’s next‑generation AI/ML solutions.

In this role, you will architect agentic AI solutions to elevate the customer experience, optimize offer personalization, and automate complex customer queries. You will develop predictive models to forecast customer behavior and business events, translating complex technical outcomes into strategic insights for partners across marketing, customer experience, and engineering teams.

To ensure peak performance, you will oversee the end‑to‑end development and operational lifecycle, diving into root causes to solve complex technical challenges. Your sharp judgment, technical expertise, and ability to bridge the gap between business problems and technical solutions will directly impact our bottom line.

• Lead discussions with key business leaders to align data science initiatives with broader business strategies and identify new growth opportunities.
• Lead the design, development, and optimization of agentic AI, LLM, and machine learning/deep learning solutions.
• Partner with engineering teams to deploy models into production (both real‑time pipelines and batch processing) and systematically track model performance.
• Serve as a subject matter expert on agentic development, machine learning and predictive modeling, providing technical guidance and mentorship to junior data scientists.
• Drive technical excellence through active research and the practical application of emerging theories, tools, and technologies.

You are an analytical thinker who thrives in a collaborative, dynamic, and global environment. You are passionate about solving complex business problems using machine learning, building end‑to‑end analytical solutions, and presenting data‑driven insights to executive leadership. You are self‑motivated, eager to learn evolving technologies, and skilled at navigating cross‑functional teams to turn data into actionable business value.

• Bachelor’s degree or four or more years of work experience.
• Six or more years of relevant experience required, demonstrated through one or a combination of work and/or military experience, or specialized training.
• Strong foundational knowledge in mathematics, statistics, physical sciences, engineering, or a related quantitative field.
• Experience developing and deploying AI agents end‑to‑end, with solid hands‑on knowledge of LLMs, RAG, Lang Chain, and Lang Graph.
• Hands‑on programming experience in Python and SQL.
• Experience in machine learning/deep learning algorithms, including Transformer, transfer learning, NLP using Pytorch and scikit‑learning packages.
• Experience with data platforms such as Spark, Hadoop, Big Query, Snowflake or others.
• Experience with GCP, AWS, or other cloud computing services.

• A Ph.D. in Computer Science, Engineering, Data Science, or a related field.
• Demonstrated success leading large‑scale data science projects from ideation through to production.
• Proven ability to leverage Hugging Face packages and apply the latest machine learning research from Git…