When you join Verizon Verizon is one of the world's leading providers of technology and communications services, transforming the way we connect around the world. We're a human network that reaches across the globe and works behind the scenes. We anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together-lifting up our communities and striving to make an impact to move the world forward. If you're fueled by purpose, and powered by persistence, explore a career with us. Here, you'll discover the rigor it takes to make a difference and the fulfillment that comes with living the #NetworkLife. What you'll be doing... Financial Planning & Analytics Service (FPAS) 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 Analytics & Insights - Data Science team within FPAS that is focused on providing wide variety of ML and optimization solutions in Credit and Marketing Investments including Loan Decisions, Promotions and Pricing by applying advanced analytics techniques. This role involves working in a complex, multi-functional, Agile 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 deep understanding of customer behaviors, strategic thinking, strong financial acumen, and cross-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, CX (Customer Experience), Corporate Finance, Digital Finance and other Analytical teams in the organization. Some of the high level focus areas for the role include:
Actively participating in analytical projects delivering improvements in decision-making and business strategies via advanced analytics.
Translating predictive insights from complex analytical frameworks to marketing investment optimization.
Preparing 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 marketing investments and strategy.
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. What We're Looking For... You'll need to have:
Bachelor's degree or four or more years of work experience.
Four or more years of relevant work experience.
Experience in developing and implementing analytical solutions.
Experience in Data management, analysis and visualization.
Experience with programming in SQL and Python. Even better if you have one or more of the following:
A Master's degree in a quantitative discipline such as Mathematics, Statistics, Financial Economics/Econometrics, 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 working in the Consumer/Retail space within the Financial Services, Telecommunications, Technology or other related mass market industries or related work in the Public Policy, Bio-statistics and Scientific Research industries.
Experience with any of R/SAS and experience programming in VBA, SPSS, MATLAB, JAVA, Tableau, Qlik or other related tools. 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. Where you'll be working In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager. Scheduled Weekly Hours
40 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. Our benefits are designed to help you move forward in your career, and in areas of your life outside of Verizon. From health and wellness benefits, short term incentives, 401(k) Savings Plan, stock incentive programs, paid time off, parental leave, adoption assistance and tuition assistance, plus other incentives, we've got you covered with our award-winning total rewards package. For part-timers, your coverage will vary as you may be eligible for some of these benefits depending on your individual circumstances. If you are hired into a California, Colorado, Connecticut, Nevada, New York, Rhode Island or Washington work location, the compensation range for this position is between $93,000.00 and $173,000.00 annually based on a full-time schedule. The salary will vary depending on your location and confirmed job-related skills and experience. This is an incentive based position with the potential to earn more. For part time roles, your compensation will be adjusted to reflect your hours.
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<h5>When you join Verizon </h5> Verizon is one of the worlds leading providers of technology and communications services, transforming the way we connect around the world. Were a human network that reaches across the globe and works behind the scenes. We anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come togetherlifting up our communities and striving to make an impact to move the world forward. If youre fueled by purpose, and powered by persistence, explore a career with us. Here, youll discover the rigor it takes to make a difference and the fulfillment that comes with living the #NetworkLife. <h5>What youll be doing... </h5> This candidate will perform analytics, create predictive models, apply machine learning techniques, and/or develop GenAI methods for high-visibility projects, as a member of a collaborative and open team that prides themselves on innovative solutions. The data scientist will explore information from multiple sources in order to gain maximum insight and provide a competitive advantage. The data science tasks may include statistical analyses, knowledge discovery, data mining, machine learning, and predictive modeling. Responsibilities will include: <ul> <li> Performing data studies of new and diverse data sources. </li> <li> Conducting statistical modeling and experiment design. </li> <li> Discovering stories told by the data and present them to peers, software developers, business analysts and business managers. </li> <li> Creating and validating predictive models and advanced algorithms; train AI and machine learning algorithms. </li> </ul> <h5>What are we looking for: </h5> <h5>Youll need to have: </h5><ul> <li> Bachelor's degree or four or more years of work experience. </li> <li> Six or more years of analytics and data science experience </li> <li> Strong knowledge of programming and pattern recognition. </li> <li> Mastery of statistics, machine learning, algorithms, predictive modeling, and advanced mathematics. </li> <li> Knowledge of deep learning and GenAI techniques is. </li> <li> Experience working with networking (and preferably also security) data. </li> <li> Knowledge of performance metrics seen in software defined networks, physical networks, and wireless data. </li> <li> Experience using SQL (Structured Query Language) and other programming languages (R, C++, Python) for statistical computing, graphics, and data mining. </li> <li> Experience with RDBMS, columnar, and NoSQL database technologies. </li> <li> Experience with Big Data and related tools such as Hadoop or Spark . </li> <li> Familiarity with tools such as R, Rstudio, Python scipy and numpy, Jupyter notebook is desired. </li> </ul> <h5>Even better if you have one or more of the following: </h5><ul> <li> Advanced Degree in one of: Computer Science, Data Science, Physics (or other science), Engineering, or Mathematics/Statistics </li> <li> Strong critical thinking skills and the ability to relate them to Verizon business processes and operations. </li> <li> Excellent verbal and written communication skills as well as the ability to bridge the gap between data science and business management. </li> <li> Ability to collaborate with business units, IT, and data scientists across the enterprise to support descriptive and predictive analytics processes. </li> <li> Strong exploratory analysis skills and ability to think and research creatively. </li> </ul> If Verizon and this role sound like we encourage you to apply even if you dont meet every even better qualification listed above. <h5>Where youll be working </h5> In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager. <h5>Scheduled Weekly Hours </h5>40 <h5>Equal Employment Opportunity </h5> Were 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. Our benefits are designed to help you move forward in your career, and in areas of your life outside of Verizon. From health and wellness benefits, short term incentives, 401(k) Savings Plan, stock incentive programs, paid time off, parental leave, adoption assistance and tuition assistance, plus other incentives, weve got you covered with our award-winning total rewards package. For part-timers, your coverage will vary as you may be eligible for some of these benefits depending on your individual circumstances. If you are hired into a California, Colorado, Connecticut, Hawaii, Nevada, New York, Rhode Island or Washington work location, the compensation range for this position is between $128,000.00 and $284,000.00 annually based on a full-time schedule. The salary will vary depending on your location and confirmed job-related skills and experience. This is an incentive based position with the potential to earn more. For part time roles, your compensation will be adjusted to reflect your hours.

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