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.
The Network AI and Analytics team of Verizon’s Strategic Analytics & Modelling Org is seeking a Senior Engineer Consultant - Data Science. In this role, you will be a key analytics driver within the Transformation Office, leveraging advanced data science to accelerate Verizon's core transformation initiatives. You will be responsible for delivering insights that drive business growth through data-driven decision-making—from identifying the right data and conducting rigorous statistical research to deciphering large consumer datasets, market trends, and competitive behaviors.
What you’ll be doing...
Lead Strategic Analytics: Leading and delivering end-to-end data analysis projects, including data wrangling and advanced statistical analysis, specifically focused on the Mobile + Home (M+H) portfolio and Transformation Office initiatives.
Cross-Functional Collaboration & Influence: Partnering effectively with product, marketing, and leadership across a matrix organization to understand complex business needs, influence teams without direct authority, and deliver data-driven growth solutions.
Advanced Problem Solving: Applying rigorous critical thinking, statistical methodologies, and analytical modeling to solve complex, ambiguous data problems regarding customer behavior, bundling, and churn.
Strategic Growth & Competitive Innovation: Conducting secondary market research and deep competitive analytics to identify telecom industry trends, market gaps, and competitor strategies; applying these predictive insights to optimize M+H rate structures and drive subscriber growth while leveraging the evolving GenAI landscape and advanced statistical trends to continuously modernize transformation workflows.
Executive Presentation & Data Storytelling: Using advanced analytical findings and modern AI prompting to craft compelling strategic narratives and deliver engaging, executive-ready presentations to leadership and steering committees.
What we’re looking for…
You have strong analytical skills, and are eager to work in a collaborative environment with global teams to drive ML application in business problems, develop end to end analytical solutions and communicate insights and findings to leadership. You work independently and are always willing to learn new technologies. You thrive in a dynamic environment and are able to interact with various partners and multi-functional teams to implement data science driven business solutions.
You’ll need to have:
Bachelor’s degree or four or more years of work experience.
Four or more years of work experience.
Experience on Core Tools & Technologies: Generative AI Platforms: Gemini, Claude, Microsoft Co-Pilot (for workflow acceleration, code generation, and strategic research).
Experience on Data Languages & Querying: SQL, BigQuery, Python.
Experience on Data Infrastructure: Relational databases, Data Warehouses.
Experience on Strategic Frameworks
Experience on Subscriber Ecosystem Frameworks: Share of Wallet (SoW) optimization, multi-product bundling mechanics, and Fixed-Mobile Convergence (FMC) strategy.
Experience on Value & Retention Mapping: Churn reduction modeling, Cross-Sell/Up-Sell matrixing, and Customer Lifetime Value (LTV) vs. Customer Acquisition Cost (CAC) optimization for converged subscribers.
Experience on Competitive & Market Positioning: Competitor rate-card benchmarking, subscriber gap analysis, and defensive/offensive switching-incentive strategies.
Experience on Transformation Lifecycle Mapping: Benefit realization tracking, capability maturity mapping, and scaling pilot frameworks within a centralized Transformation Office.
Even better if you have one or more of the following:
Experience on Consulting & Influence
Experience on Management Consulting Background: Experience derived from Tier-1 or Boutique consulting firms, specializing in business strategy formulation.
Experience on Matrix Navigation: Proven ability to influence, negotiate, and partner with cross-functional teams (Product, Marketing, Engineering) without direct authority.
Experience on Communication & Execution
Experience on Executive Presence: Ability to brief steering committees and C-suite leadership.
Experience on Data Storytelling & AI Prompting: Crafting high-impact strategic narratives by pairing advanced analytical findings with modern AI prompting techniques.
Adaptability: High emotional intelligence and composure when navigating fast-paced, ambiguous corporate environments.
Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to race, gender, disability or any other legally protected characteristics.
