Verizon

The key focus of the team is on analytics for telecom network products and security products like SD WAN, 5G, and SASE. The data science manager will lead the team in exploring information from multiple sources in order to gain maximum insight and provide a competitive advantage.. Strong knowledge of pattern recognition, statistics, machine learning, algorithms, predictive modeling, and advanced mathematics.. Advanced degree in one of: Computer Science, Data Science, Physics (or other science), Engineering, or Mathematics/Statistics.. Python) for statistical computing, graphics, and data mining; experience with RDBMS, columnar, and NoSQL database technologies.. 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.

associate director

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... This candidate will manage and collaborate with an experienced team of data scientists that pride themselves on innovative solutions. The team's tasks include analytics, creation of predictive models, application of machine learning techniques, and/or development of GenAI methods for high-visibility projects. The key focus of the team is on analytics for telecom network products and security products like SD WAN, 5G, and SASE. The data science manager will lead the team in exploring information from multiple sources in order to gain maximum insight and provide a competitive advantage. The manager must have the knowledge and skills both to discuss data science technical details with the team, and to communicate with product managers and other teams to understand business needs and strategies. The leader needs to be forward thinking and passionate about the developments in the market around AI and various use cases. Responsibilities will include: <ul><li>Leading data studies of new and diverse data sources. </li><li>Managing all efforts and day-to-day activities of the data scientists. </li><li>Discovering "stories" told by the data and present them to peers, business analysts, business managers, and executives. </li><li>Collaborating with business managers to review strategies and procedures for corporate and operating system efficiencies. </li><li>Developing strategies in order to answer business questions and increase revenue. </li><li>Evaluating data to make sure that Verizon adheres to laws and regulations. </li></ul>What we're looking for... You'll need to have: <ul><li>Bachelor's degree or four or more years of work experience. </li><li>Six or more years of relevant work experience. </li><li>Six or more years of analytics and data science experience. </li><li>Three or more years of experience leading, managing, and directing people. </li><li>Strong knowledge of pattern recognition, statistics, machine learning, algorithms, predictive modeling, and advanced mathematics. </li><li>Knowledge of deep learning and GenAI techniques is desired. </li><li>Experience working with networking (and preferably also security) data. Knowledge of performance metrics seen in software defined networks, physical networks, and wireless data. </li></ul>Even better if you have one or more of the following: <ul><li>Advanced degree in one of: Computer Science, Data Science, Physics (or other science), Engineering, or Mathematics/Statistics. </li><li>Experience with SQL (Structured Query Language) and other programming languages (R, C++, Python) for statistical computing, graphics, and data mining; 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 </li><li>Superior verbal and written communication skills as well as the ability to bridge the gap between data science, produce management, business management, and executives. </li><li>Strong critical thinking skills and the ability to relate them to Verizon business processes and operations. </li></ul>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, Hawaii, Nevada, New York, Rhode Island or Washington work location, the compensation range for this position is between $109,000.00 and $242,000.00 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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