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...
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 like Java, R, Matlab, 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 such as Matplotlib, Seaborn, Tableau, Grafana etc.
- Demonstrated experience writing queries for reporting, analysis and extraction of data from big data systems.
Even better if you have one or more of the following:
- Knowledge of big data tools (SQL, Spark, and Splunk) i.e. 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 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.
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