Full job description When you join Verizon You 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 work with terabytes of data at scale and bring reliable and scalable real time insights. You will apply advanced state of the art end to end analysis techniques and algorithms to provide a best in class customer experience. Making recommendations based on data with excellent visual representations of stories based on data for making critical business decisions. Exploring research in the data science field and utilizing open source research results for the improvement of customer facing products. Collaborating with cross functional teams i.e. engineers, managers, stakeholders and identifying opportunities to improve our products and customer experience. Developing comprehensive understanding of data and complexity of multiple systems to develop a seamless data pipeline which can visualize data at scale with cent percent accuracy. Building Machine / Deep Learning models. Working with terradata, hive, spark, tableau, postgres, other big data systems with Verizon grid computing infrastructure. Mentoring and developing the team. 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. Experience in one or more languages, R, Python - generators, iterators, comprehensions, Numpy, Pandas, matplotlib, sklearn, keras, tensorflow, pytorch. Knowledge of supervised, unsupervised, semi-supervised, reinforcement learning. Experience with Machine Learning, Statistics and Probability, NLP, Deep Learning especially experience in recommendation systems, conversational systems, information retrieval, computer vision, regression modeling. Experience with Visualization tools matplotlib, seaborn, tableau, grafana etc.. Demonstrated experience writing queries for reporting, analysis and extraction of data from big data systems. Cloud computing experience, (AWS, GCP, etc.) Even better if you have one or more of the following: Knowledge of big data tools (SQL, Spark, and Splunk) ie. manipulating mining data from these systems. Ability to work in a fast paced, dynamic work environment. Excellent interpersonal, verbal and written communication skills. 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 page to learn more.