Engineer III Consultant-AI Science Full-time

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…

The key responsibilities include:

• Working with terabytes of data at scale and bring reliable and scalable real time insights.
• Applying 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 teradata, hive, spark, tableau, postgres, other big data systems with Verizon computing infrastructure.

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 areas – Predictive Analytics, Deep Learning, LLM, Forecasting, optimization with domain knowledge
• 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.
• Exposure to forecasting techniques
• Exposure to Optimization and related techniques

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.