Job Description

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…

The key responsibilities include:

Independently work on data science projects and deliver innovative technical solutions to solve problems and improve business outcomes.

• Ability to complete the design and development of machine learning/statistical models and ensure best performance.

• Working closely with machine learning engineers to deploy models in production both in real time and in batch process and systematically track model performance.

• Assisting engagement with key business stakeholders in discussion on business strategies and opportunities.

• Building strong working relationships and develop deep partnership with the business.

• Being a subject matter expert on machine learning and predictive modeling.

• Driving technical innovation through active research and applications of 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 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.

• Deep Expertise in one or more areas - Predictive Analytics, Deep Learning, LLM, Forecasting, optimization with domain knowledge

• Experience on programming experience in Python.

• Experience in SQL.

• Experience with Big Data platforms such as Hadoop and Spark.

• Experience with GCP, AWS or other cloud computing services.

• Strong analytical and problem-solving skills.

• Strong communication skills.

Even better if you have one or more of the following:

• Two or more years of experience in scaling AI in areas like personalization, forecasting, experimentation, computer vision, NLP, etc.     

• Ability to explain both the code and the underlying math used in algorithms/models.

• Four or more years of experience in developing models and algorithms independently, writing your own code, developing strategy for algorithmic experimentation, and deploying in production.

• Experience in both batch and streaming models in production.

• Knowledge of math, probability, statistics, and models.  

• Experience in data structures, data modeling and software architecture skills.

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

Diversity and Inclusion

We’re proud to be an equal opportunity employer. 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.