Engineer II-AI Science

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…

As a Consultant (AI Science) you will develop and deploy AI models and build AI capabilities at Verizon. These AI capabilities will include predictive, prescriptive and adaptive applications for all predictions and inferences at Verizon. Models will typically get implemented on premise, in cloud and/or on the edge and in both real-time and batch mode depending upon the business applications.

• Driving data-derived insights across the wide range of problem statement across business domain by developing advanced statistical models, machine learning algorithms and computational algorithms based on business initiatives

• Directing the gathering of data, assessing data validity and synthesizing data into large analytics datasets to support project goals

• Analyzing structured and unstructured data using data mining/statistical/machine learning/deep learning tools, Data visualization, Digital/Web analytics tools and techniques and storytelling

• Mentoring/Guiding one to two members in the team on technical aspects, on a need basis.

What we’re looking for ...

You have strong analytical skills, technical expertise in data science and AI methods and are eager to work in a collaborative environment with global teams to drive machine learning applications in business problems, develop end to end AI and analytical solutions that drive outcomes.

You’ll need to have:

• Bachelor’s degree or four or more years of work experience.

• Four or more years of relevant work experience.

• Expert level understanding and ability to explain both the code and the underlying math used in algorithms/models.

• Excellent coding proficiency with demonstrated expertise in python, java, R, etc.

• Expert level knowledge of AI/ML models, frameworks (keras, pytorch, etc.) and libraries/packages/apis (e.g., scikit)

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

• Experience with both batch and streaming models in production

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

• 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.

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

• Analytical and problem-solving skills with good communication skills

• Experience in Mathematical Optimization, Simulations, Deep Learning.

• Experience with Hadoop, AWS or other distributed compute services.

• Advanced SQL skills with Teradata, SQL Server, Hive.

• Advanced degree in Computer Science, Mathematics or similar field.

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

• Experience in both batch and streaming models in production.

• Knowledge of math, probability, statistics, and AI/ML models.

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

• Good cross-functional collaboration 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.