Principal Data Scientist

Key Skills

Java Programming, Python Programming, iOS platform, SQL, Alteryx, Tableau

Job Description

What you’ll be doing...

The Artificial Intelligence & Data (AI&D) Organization is an exciting new center of excellence supporting all of Verizon, reporting into the Global Network & Technology (GN&T) team. Our team will be a catalyst to Verizon's future in creating networks that move the world forward through the power of artificial intelligence and data.

In this role you’ll buildtools, analyze, and provide insights that inform, quantify, and enable the visualization of data to drive business decisions for all of Verizon’s networks. With your analytical, big data, and reporting expertise, you’ll deliver business value through business intelligence reporting and analytics by driving insights to actions. One way you will accomplish this is by developing analytical views of data utilizing various BI tools such as Tableau, PowerBI, Qlik, and web-based applications. You’ll also connect various data locations to stage data before visualizations. The business insights and recommendations you provide will help to improve performance.

You will work with a team to create the artificial intelligence roadmap for GN&T Planning and Engineering, as well as implementing and delivering use cases. You’ll partner with and leverage the strength of our internal Data Science center as well as with vendor partners. You’ll lead data science projects that drive digital sales and service, product recommendation and personalization, marketing effectiveness, channel optimization, better customer experiences, and operational efficiency. You’ll work closely with a team of data scientists, big data engineers, and software developers and will play a key role in developing and delivering the next generation artificial intelligence/machine learning solutions that generate substantial value for the business. You’ll manage a pipeline of AI use cases from ideation to implementation.

• Acting as a thought leader and forward-leaning partner with your business team to shape, prioritize, and deliver strategy for the business unit across datagovernance, data architecture, and AI/ML.
• Partnering with the business to ensure our organization’s strategy is aligned and supportive of wider business unit strategic goals.
• Partnering with technology, security, legal, and privacy to ensure a strategy for the business is also defined in the context of the overall group strategy.
• Designing, developing, implementing, and overseeing high-end analytical/technology processes and solutions with a focus on leveraging advanced machine learning and artificial intelligence methods.
• Performing ad-hoc analyses and developing reproducible analytical approaches to meet business requirements.
• Performing exploratory and targeted dataanalyses using descriptive statistics and other methods.
• Presenting results and recommendations to senior management and business users.
• Strategizing, coordinating, detailing, resource planning and defining scope on multiple projects with evolving timelines in various stages of completion.
• Leading collaboration with business leads and IT to execute all visual design phases from concept and requirements to final hand-off to business unit end-users.
• Conducting and ensuring user acceptance testing with IT for database and applications prior to production release to include software testing, quality assurance, and solution certification and approval.
• Establishing and promoting our brand standards and best practices and across business units and IT.
• Detailing and demonstrating solutions by developing wireframes, production documentation, flowcharts, layouts, diagrams, charts, and models.
• Reviewing existing visualizations to assess existing opportunities for improvement within the business and to drive an outstanding User Interface solution.

Where you'll be working...
This hybrid role will have a defined work location that includes work from home and assigned office days as set by the manager.

What we’re looking for...

You’ll need to have:

• Bachelor’s degree or four or more years of work experience.
• Six or more years of relevant work experience.
• Experience in applying statistical ideas and methods to datasets to answer business problems.
• Experience with Python, Spark, and SQL to manipulate dataand draw insights from large data
• Experience with developing insights, presenting, and influencing strategic decisions using data.

Even better if you have:

• MBA or Master’s degree in statistics, mathematics, analytics, engineering, computer science, or another technical and/or financial discipline.
• Experience with Big Dataarchitecture and mining for insights across various data
• Experience using ETL (extract, transform, load) tools and experience with large datasets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action.
• Knowledge of datawarehouse and data lake technology (Teradata, Hadoop, No SQL, graph DB).
• Solid understanding of 4GLTE/5G Technologies, IP Networking, RF/SP engineering tools / principles.
• Technical knowledge of improving system performance, capacity, reliability and scalability of the network.
• Knowledge of existing network processes from plan, build, and operate (e.g., supply chain, real estate).
• The ability to analyze complex datasets, draw conclusions and relationships and develop actionable recommendations including presenting to senior FP&A leadership.
• The ability to effectively communicate actionable insights to category leads supporting their goals and objectives.
• The ability to prepare executive-level presentations to clearly articulate results of complex mathematical analysis through strategic storytelling.