Senior AI Scientist

This role is with Verizon. WayUp is partnering with Verizon to hire top talent.

### 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… Our team is responsible for new AI use cases for the Verizon network, creating new models that improve the customer experience. You’ll use your knowledge of network performance, AI/ML and the over business model to interface with other teams and executives. You’ll innovate and develop creative and effective ways to change current processes.
• Driving data-derived insights across the business domain by developing advanced statistical models, machine learning algorithms and computational algorithms based on business initiatives.
• Directing data gathering, assessing data validity and synthesizing data into large analytics datasets to support project goals.
• Analyzing structured and unstructured data using data mining/statistical/machine learning/deep learning tools, Data visualization, Digital/Web analytics tools and techniques and storytelling.
• Building and training statistical models and machine learning algorithms.
• Creating visualizations from modeled data for executive and engineer consumption.
• Preparing all the supporting documents and reports. ###
• What we're looking for… You have strong analytical skills, and are eager to work in a collaborative environment with global teams to drive ML application in business problems, develop end to end analytical solutions and communicate insights and findings to leadership. You work independently and are always willing to learn new technologies. You thrive in a dynamic environment and are able to interact with various partners and multi-functional teams to implement data science driven business solutions. You'll need to have:
• Bachelor's degree or four or more years of work experience.
• Four or more years of relevant work experience.
• Four or more years of experience in advanced analytics/ predictive modeling in a consulting role.
• Four or more years of Wireless Network (Telecom or Routing) experience
• Experience with all phases of end-to-end Analytics project
• Experience building models using statistical techniques such as Supervised and Unsupervised Machine Learning models, Deep learning, Text classification etc.
• Knowledge of Python, SQL, PySpark, Scala and/or other languages and tools. Even better if you have one or more of the following:
• Master's degree.
• Experience working in analytical projects in the telecom domain.
• Accuracy and attention to detail.
• Experience in data lake (Hadoop), SQL, ETL.
• Problem solving, analytical, and research skills.
• Excellent verbal and written communication.
• Experience presenting to and influencing functional leaders and partners.
• Ability to work effectively independently and willingness to learn new technologies.
• Experience working with cross-functional teams in a dynamic environment. 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 a minimum eight assigned office days per month that will be 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](https://mycareer.verizon.com/life-at-verizon/work-culture/) page to learn more.