Senior Engineer - Data Science

Key Skills

Microsoft-Excel, Java Programming, Python Programming, SQL, Alteryx, Tableau, R Programming, SPARK Programming, KPIs, Statistical modeling, Data Architecture, Large data sets

Job Description

Verizon is one of the world’s leading providers of technology and communications services, transforming the way we connect across the globe. We’re a diverse network of people driven by our shared ambition to shape a better future. Here, we have the ability to learn and grow at the speed of technology, and the space to create within every role. Together, we are moving the world forward – and you can too. Dream it. Build it. Do it here.

What you’ll be doing...

The Network Capital Management group is hiring a strategic thinker to join its high profile, high visibility team that powers Network analytics and strategic thinking for Verizon. You will be part of a team that drives business decisions and optimized capital investment for the Verizon Wireless and Wireline Networks. That includes building tools, creating analyses, and discovering insights into our Networks that can be used to optimize our capital plan.We create actionable operational and strategic insights and visualizations for senior leaders in the company across multiple organizations. You will be part of the team that shapes multibillion-dollar investments for the nation’s largest Network. This is a job for an intelligent, decisive, quick, forward-thinking, strategic, and tactical thought leader. You have exceptional influencing skills and preferred experience working across areas and levels of an organization.

For this role, you will be looked to as a collaborative expert that can dive deep into network details and boil down learnings into a shareable, easy to understand format. Time will be spent interfacing with multiple teams throughout Verizon to understand the network’s growth and challenges, internally with our own data scientists and engineers to communicate findings and how to transform that into a business case for modeling value, and sharing insights with executives that will help to visualize our outlook and to plan accordingly based on those insights.

• Support development of predictive & prescriptive models including capital optimization across Verizon’s Networks
• Support implementation of machine learning and optimization algorithms across multiple platforms to create scalable solutions with actionable insights from complex data sets

• Use statistical modeling and analysis to understand relationships between diverse forms of customer data, network data and business KPI'
• Assist in the design and implement data architecture, analytics environments, and methodologies for analyzing and storing large sets of structured and unstructured data
• Make business recommendations (e.g. cost-benefit, forecasting, experiment analysis) with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information
• Define key success metrics and create dashboards / reports to communicate results and monitor KPIs
• Create new data processes as identified through industry benchmarking and collaboration with Verizon's data scientist community
• Ability to support multiple projects simultaneously, adapt to changing priorities and meet aggressive deadlines
• Collaborate with IT and business stakeholders to ensure team alignment
• Participate in cross-functional project teams as predictive modeling subject matter expert
• Ability to analyze complex data sets, draw conclusions and relationships and develop actionable recommendations
• Effectively communicate actionable insights to category leads supporting their goals and objectives.
• Prepare presentations to clearly articulate results of complex mathematical analyses.

Where you'll be working...

In this hybrid role, you will have a defined work location that includes work from home and assigned office days set by your manager.

What we’re looking for...

You’ll need to have:

• Associate’s degree or two or more years of work experience.
• Three or more years of relevant work experience.
• Programming experience in either of these: SQL, Python ,R , Tableau, Alteryx orMicrosoft Excel.

Even better if you have:

• Bachelor’s or Master’s degree in a quantitative discipline (Math, Physics, Computer Science, Applied Economics, or Engineering) or MBA.
• Conducted research or analyses and managed projects for multiple stakeholders.
• Working experience in the development of predictive models.
• Familiarity with distributed computing like Spark.
• Excellent interpersonal skills.