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.
As a Senior AI Scientist, you will drive profitable growth and business innovation by applying advanced machine learning techniques and cutting-edge AI technology. You will lead high-impact data science projects that revolutionize product personalization, marketing effectiveness, channel optimization, customer experience, and operational efficiency. Working closely with a team of data scientists, ML engineers, software developers, and business stakeholders, you will play a pivotal role in designing, building, and delivering next-generation AI/ML solutions.
In this role, you will design and implement 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.
Step into discussions with key business leaders to align data science initiatives with broader business strategies and identify new growth opportunities.
Step into 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.
Four or more years of relevant experience required, demonstrated through work experience and/or military experience.
Foundational knowledge in mathematics, statistics, computer science, engineering, or a related quantitative field.
Experience developing and deploying AI agents end-to-end, with solid hands-on knowledge of LLMs, RAG, Google ADK, and LangGraph.
Demonstrated success leading large-scale data science or agentic framework projects from ideation through to production.
Hands-on programming experience in Python and SQL.
Experience with machine learning/deep learning algorithms, including Transformers, multi-agent frameworks, NLP, and expertise in using PyTorch and Scikit-Learn packages.
Familiarity with Git repositories, CI/CD pipelines, and standard version control workflows.
Experience with data platforms such as Spark, Hadoop, BigQuery, Snowflake, or Redis.
Experience with GCP, AWS, or other cloud computing services.
A Master's in Computer Science, Engineering, Data Science, or a related field.
Proven ability to leverage Hugging Face packages (such as CLIP) and apply the latest machine learning research from open-source repositories to real-world projects.
Background in traditional software development practices, web services (React, Django), and containerization (Docker).
Experience designing, optimizing, and scaling Recommendation and Ranking systems for telecom use cases.
Experience aligning multimodal parsing systems (PDF/image text extraction) with business offer execution pipelines.
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 don’t meet every “even better” qualification listed above.
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.
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Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to veteran status, disability or other legally protected characteristics.
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, we’ve 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.
The salary will vary depending on your location and confirmed job-related skills and experience. This is an incentive based position with the potential to earn more. For part-time roles, your compensation will be adjusted to reflect your hours.
The annual salary range for the location(s) listed on this job requisition based on a full-time schedule is: $101,000.00 - $194,000.00.
