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 #VTeamLife.
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.
- Three or more years of relevant experience required, demonstrated through work experience and/or military 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 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) ie. manipulating mining data from these systems.
- Ability to work in a fast paced, dynamic work environment.
- Excellent interpersonal, verbal and written communication skills.
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 and performance-based incentives. We create an opportunity for us all to share in the success of Verizon and the value we help to create through this broad-based discretionary equity award 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.
Your benefits package will vary depending on the country in which you work.
*subject to business approval
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
Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to race, gender, disability or any other legally protected characteristics.