Principal Data Scientist

When you join Verizon

You want more out of a career. A place to share your ideas freely even if theyre 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 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 youll be doing

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 Verizons 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.

What were looking for

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.

Youll need to have:

• Bachelors 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 LangChain and LangGraph.

• 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 BigQuery Snowflake or others.

• Experience with GCP AWS or other cloud computing services.

Even better if you have one or more of the following:

• 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 repositories to real-world projects.

• Background in traditional software development practices and methodologies.

• Experience developing agentic solutions with Google ADK

• Experience designing and scaling Recommendation and Ranking systems.

• Experience aligning marketing strategies with offer execution and measuring campaign effectiveness.

• Strong communication and interpersonal influencing skills.

• Excellent problem-solving and critical-thinking capabilities.

If Verizon and this role sound like a fit for you we encourage you to apply even if you dont meet every even better qualification listed above.

Scheduled Weekly Hours

Equal Employment Opportunity

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

Benefits and Compensation

Our benefits are designed to help you move forward in your career and in areas of your life outside of Verizon. From health and wellness benefit options including: medical dental vision short and long term disability basic life insurance supplemental life insurance AD&D insurance identity theft protection pet insurance and group home & auto insurance. We also offer a matched 401(k) savings plan up to 8 company paid holidays per year and up to 6 personal days per year paid parental leave adoption assistance and tuition assistance plus other incentives weve got you covered with our award-winning total rewards package. Depending on the role employees have the opportunity to receive compensation in the form of premium pay such as overtime shift differential holiday pay allowances etc. Newly hired employees receive up to 15 days of vacation per year which grows with additional service. For part-timers your coverage will vary as you may be eligible for some of these benefits depending on your individual circumstances.