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 Data, AI and Analytics Organization is an exciting center of excellence supporting all of Verizon as a part of the Transformation Office.
You’ll work closely with a team of Business Stakeholders, Data scientists, data engineers, and Software developers to play a key role in developing and delivering the solutions that generate substantial value for the business.
What you’ll be doing...
We use digital data as the fuel to propel us beyond our competition. As a Sr Engr Cslt Data Scientist, you’ll contribute to projects that develop and perform complex analyses using Big Data technologies to solve critical business problems. You’ll be constantly on the lookout for new modeling techniques, evolving technologies, and emerging industry trends so that we can stay ahead of the game. Your work will help us meet our customers’ needs and make it even easier for them to do business with us.
You'll be part of a leading-edge advanced analytics team helping us to improve customer experience and drive optimal decisions in some of the world’s most unique supply chain and business operations problems. The advanced analytics team develops quantitative analysis and mathematical models to support Verizon’s supply chain and operations business objectives. Our team leverages tools like big data, statistical analysis, machine learning, optimization methods, and related analytical techniques. For our team, developing a thorough understanding of the business context is absolutely critical!
As a team member you will:
Develop a deep understanding of the business context and objectives of the projects you support.
Perform analyses to find actionable insights.
Develop models, systems, applications, and visual dashboards.
Conduct through the development and implementation of actionable analytics products.
Ensure data quality and promote process improvement.
Learn and understand the business processes of supply chain and operations. Learn the tradeoffs and priorities of the business.
Translate supply chain and operations into analytical problems and effectively communicate results and business implications to key stakeholders.
Partner with team and non-team data scientists to assess project feasibility, select input features, validate project output, and communicate the key results.
What we’re looking for...
With an eye towards improving performance and predictability, you like the science of analytics. Developing resolutions to complex problems, using your sharp judgment to develop methods, techniques, and evaluation criteria allows you to deliver solutions that make a huge impact.
Provides support for model build and layouts for complex, large-scale data sets used for modeling, data mining, and research purposes. Supports the building of large and complex data sets from spurious sources while thinking strategically about uses of data and how data use interacts with data design.
You’ll need to have:
Bachelor’s degree or four or more years of work experience.
Four or more years of relevant experience required, demonstrated through one or a combination of work and/or military experience, or specialized training.
Experience as a data scientist, analyst, or statistical modeler.
Experience with AI analytics tool- Co-pilot, Claude
Even better if you have one or more of the following:
Degree in data science, business intelligence and analytics, computer science, or mathematics.
Master’s degree in a technical field like Operations Research, Data Science, Analytics, Computer Science, Statistics, or an engineering or scientific discipline.
Experience with Google BigQuery, Google Cloud Platform.
Experience with programming languages, like Java, Python, or R.
Experience with Alteryx.
Experience with SQL.
Experience with visualization tools, like Tableau, looker or similar visual analysis tools, optimization, analytics and large data sets, developing visually compelling interactive dashboards.
Knowledge of third-party analytic tools.
Additional Job Description
Works with key stakeholders to generate hypotheses and create analytic models that answer impactful business questions. Responsible for leading the design and implementation of data science products leveraging complex, large-scale data sets while thinking strategically about uses of data and how the developed models meet the goals of the business. Develops resolutions to complex problems that require the use of creativity and makes decisions that impact projects and staff members.
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 work from home and assigned office days set by your manager.
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Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to race, gender, disability or any other legally protected characteristics.
