Predictive & Prescriptive Analytics Entry Level Opportunities Military Veteran Jobs

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Job description

We are always looking to add military veterans to our team


When you join Verizon




Verizon is a leading provider of technology, communications, information and entertainment products, transforming the way we connect across the globe. We're a diverse network of people driven by our ambition and united in our shared purpose 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...




At Verizon, Finance is leading the formation of an advanced analytics arm that delivers world-class insights in driving business impacts through a data driven approach. This is a unique opportunity to be a subject matter expert, hands-on and contribute the experiences you've gained in your degreeprogram. You'll learn from the best minds in the industry and improve your knowledge regarding strategic business problem solving, data analytics, and strategic change initiatives in an environment that's dedicated to industry superiority.

In this role, you may have the opportunity to drive advanced analytics and embed Artificial Intelligence/Machine Learning (AI/ML) techniques to:

• Identifying customer growth opportunities from new 5G revenue models.
• Detecting fraud and optimizing customer experience.
• Leveraging customer behavioral data science and optimize credit decisions/collections strategy.
• Optimizing digital growth by balancing omni-channel experience and profitability.
• Partnering with in-house data strategy experts to design analytically ready datasets by stitching customer data across multiple platforms and incorporating business rules.
• Partnering with internal business partners in gathering business requirements and developing advanced analytical solutions to complex problems.
• Participating in the design, implementation, and interpretation of experiments/trials for continuous refinement of on-going strategies.
• Translating predictive insights from a complex analytical framework to optimize decisions related to marketing investments, credit offerings, and fraud strategy.
• Developing and deploying both traditional statistical models and machine learning techniques and algorithms: Regression, clustering, neural networks, random forest, etc. to guide marketing investments and strategy.
• Periodically validating model performance and update models based on changing business strategies/objectives.

You must be currently enrolled in a degree program and be in good academic standing to be considered.

If you are interested in other roles and locations in addition to this one, please submit your application to those postings as well in order to be considered.




What we're looking for...




You're a motivated self-starter. Never satisfied with the status quo, you're always trying to beat a personal best. You thrive in a fast-paced environment where new challenges come up every day. You are flexible, dependable and work well in varying environments.

You'll need to have:

• Current enrollment in an MBA, Masters, or Ph.D. degree program with a concentration in Economics/Econometrics Strategy, Data or Business Analytics, Business IT, Math, Statistics, Computer Science, Computer Engineering, Mechanical Engineering, Information Technology, Operations Research or related major with an expected completion date between December 2021 and June 2022.
• Experience in Corporate Strategy, Operations, Data Analytics, Management Consulting, Finance, Quantitative, Marketing, Business Modeling, or a related field.
• Hands-on experience with SAS, R, or Python.
• Authorization to work in the U.S. without restrictions or need for future sponsorship.
• Willingness to work in Irving, Tx or Boston, MA location. .

Even better if you have:

• Ability to program in SQL.
• Experience developing and implementing advanced analytical solutions to complex business problems/opportunities.
• Experience in Hadoop Clusters/Hive/Scala/Spark.
• Experience in using machine learning techniques to Identify customer growth opportunities..
• Experience using data management, analysis, and visualization to realize absolute and incremental commercial gains.
• Demonstrated strategic thinking, relationship management and attention to detail.
• Demonstrated strong analytical, communication, leadership and presentation skills.

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 (eg, for medical or religious reasons).