Data Scientist

When you join VerizonYou want more out of a career. A place to share your ideas freely - even if they're daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love - driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together - lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the V Team Life.What you'll be doing...You will drive profitable growth and business innovation by applying cutting-edge machine learning techniques and AI technology. You work on data science projects that drive product personalization, marketing effectiveness, channel optimization, better customer experience, and operation efficiency. You will work closely with a team of talented data scientists, Big Data engineers, and software developers and play a key role in developing and delivering the next generation AI/ML solutions to the business.You'll create machine learning models to predict customer behavior and intent to support marketing campaigns for customer retention, prospect acquisition, and revenue growth. You'll then present the results to various business partners such as marketing, finance, and our customer relationship management group.Independently work on data science projects and deliver innovative technical solutions to solve problems and improve business outcomes.Be involved in the design and development of machine learning/statistical models and ensure best performance.Work closely with machine learning engineers to deploy models in production both in real-time and in batch process and systematically track model performance.Assist engagement with key business stakeholders in discussion on business strategies and opportunities.Build strong working relationships and develop deep partnerships with the business.Become a subject matter expert on machine learning and predictive modeling.Actively research new theories, techniques, and technologies.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 applications 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 cross-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.Foundational quantitative knowledge and skills; extensive training in math, statistics, physical science, engineering, or other related fields.Hands-on computing/programming skills; proficient in Python.Even better if you have one or more of the following:Master's degree in a quantitative field or equivalent.A Ph.D. in Computer Science, Statistics, Math, Economics, Engineering, Business Analytics, Data Science or a related field.Experience in data science projects and delivering from end-to-end.Technical experience in machine learning and statistical modeling.Experience with data management and data analysis in relational databases and Hadoop.Experience with SQL and database management.Why Verizon?Verizon is committed to maintaining a Total Rewards package which is competitive, valued by our employees, and differentiates us as an Employer of Choice.We are a 'pay for performance' company and your contribution is rewarded through competitive salaries, performance-based incentives and an employee Stock Program.Your benefits are market competitive and delivered by some of the best providers.You are provided with a full spectrum of health and wellbeing resources, including a first in-class Employee Assistance Program, to empower you to make positive health decisions.We offer generous paid time off benefits to help you manage your work-life balance and opportunities for flexible working arrangements.Verizon provides training and development for all levels, to help you enhance your skills and develop your career, from funding towards education assistance, award-winning training, online development tools and access to industry research.You will be able to take part in volunteering opportunities as part of our environmental, community and sustainability commitment.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 workingIn 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 Hours40Equal Employment OpportunityWe'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.

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