Finance Data Scientist

When you join Verizon

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...

Business Analytics Center of Excellence (BA CoE) is at the heart of Verizon's Digital Finance vision focusing on solving most critical challenges using Data, Advanced Analytics, AI, and Automation. You will be joining the Predictive/Prescriptive Analytics team within BACOE that is focused on providing wide variety of ML and analytics in Credit, Marketing Investments, Collections, and Budgeting by applying advanced analytics techniques

This role involves working in a complex, multi-functional team environment with other data scientists and data engineers to develop and productionize analytics solutions. As a Data Scientist on the team you will work side-by-side with an experienced team to develop cutting edge AI/ML Models and solutions to tackle some of Verizon's biggest challenges. This position requires a strong financial acumen, deep understanding of customer behaviors, strategic thinking, and x-functional aptitude in order to design analytical solutions to make the best informed decisions possible. The successful candidate will interact with all HQ & Market departments including Marketing, Credit risk, Collections, Corporate Finance, Digital Finance and other Analytical teams in the organization.

• Partner with internal business partners in gathering business requirements and developing advanced analytical solutions to complex problems.
• Budget and ongoing reporting of Churn and Bad Debt.
• Hands on active participation in analytical projects delivering improvements in decision-making and business strategies via advanced analytics.
• Translate predictive insights from complex analytical frameworks to marketing investment optimization.
• Prepare presentation materials and formal business case documents for use with senior management to promote findings and drive science based decision support recommendations.
• Develop and deploy both traditional statistical models and machine learning techniques and algorithms: Regression, clustering, neural networks, random forest etc. to guide credit and collections strategies.
• Partner with in-house data strategy experts to design analytically ready datasets by stitching customer data across multiple platforms and incorporating business rules.
• Partner with functional groups (Marketing, Bill2Cash, Commercial Finance, Operations, Network, etc.) to embed analytics and science driven approaches in all business decisions.
• Be recognized as a subject matter expert and participate in knowledge/best practice sharing opportunities.
• Continually broaden and strengthen knowledge of analytical methods, vendors and tools.
• Develop strong relationships with business partners to transform the role of analytics to decision guidance (analytics as partner not as support function).

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 have a passion for educating and communicating analytic findings and insights with integrity to all levels: from going over raw output with colleagues to creating PowerPoint presentations and storyboards that captivate and succinctly convey complex ideas to our strategic business partners. You have an appetite for improvement of our analytical products and processes built on a solid foundation of a lifelong love of learning. You have a high level of curiosity and investigative mind-set with an attention to detail, a tenacity of thought, the flexibility to adapt to new challenges and the resiliency to overcome short-term hurdles by staying focused on the team's deliverables.

You'll need to have:

• Bachelor's degree or four or more years of work experience.
• Four or more years of relevant work experience
• Two or more years of experience in developing and implementing analytical solutions.
• Two or more years of experience in Data management, analysis and visualization.
• Experience with any of SAS/R/Python and experience programming in SQL, VBA, SPSS, MATLAB, JAVA, Tableau or other related tools.

Even better if you have one or more of the following:

• A Master's degree in Finance, Accounting, Economics/Econometrics, Mathematics, Statistics, Engineering, Computer Science, or Operations Research.
• Experience in developing and implementing analytical solutions to complex business problems/opportunities.
• Active experience in Data management, analysis and visualization to realize absolute and incremental commercial gains.
• Experience participating in the creation and reporting on Budgets, Quarterly Forecasts, 5 year plans

Equal Employment Opportunity

We're proud to be an equal opportunity employer - and celebrate our employees' differences, including race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, and Veteran status. At Verizon, we know that diversity makes us stronger. We are committed to a collaborative, inclusive environment that encourages authenticity and fosters a sense of belonging. We strive for everyone to feel valued, connected, and empowered to reach their potential and contribute their best. Check out our diversity and inclusion page to learn more.

COVID-19 Vaccination Requirement

Verizon requires new hires to be fully vaccinated against COVID-19. Verizon provides reasonable accommodations consistent with legal requirements (e.g., for medical or religious reasons).