Distinguished Engineer-Data Science

Key Skills

Aartificial intelligence, Analytical and Problem solving, Audio Processing, AWS, Cloud computing, Computer Vision (CV), Data science techniques, Deep Learning, Effective communication skills, Google Cloud Platform (GCP), Machine learning techniques, Natural Language Processing (NLP), Statistical modeling

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 across the globe. We’re a diverse network of people driven by our shared ambition to shape a better future. Here, we have the ability to learn and grow at the speed of technology, and the space to create within every role. Together, we are moving the world forward – and you can too. Dream it. Build it. Do it here.

What you’ll be doing...

As a DMTS (Data Science) you will own and drive end to end solutions for AI/ML use cases

• Designing and building scalable machine learning models to meet the needs of given Business engagement. Providing technical thought leadership on model architecture, delivery, monitoring, measurement and model lifecycle best practices.
• Working in collaborative environment with global teams to drive solutioning of business problems.
• Developing end to end analytical solutions, and articulating insights to leadership. Provide data-driven recommendations to business by clearly articulating complex modeling concepts through generation and delivery of presentations.
• Analyzing and model both structured and unstructured data from a number of distributed client and publicly available sources.
• Assisting with the mentorship and development of Junior members. Drive team towards solutions.
• Assisting in growing data science practice in Verizon, by meeting business goals through client prospecting, responding to model POC, identifying and closing opportunities within identified Insights, writing white papers, exploring new tools and defining best practices.

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.

What we’re looking for...

You are a seasoned data science leader with hands on strong analytical and coding skills, eager to work in a collaborative environment with global teams to drive AI/ML application in business problems, develop end to end AI driven 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 stakeholders and global cross functional teams to implement data science driven business solutions. You take pride in your role as a data scientist and evangelist and enjoy adding to the systems, concepts and models that enrich the practice

You’ll need to have:

• Bachelor’s degree or four or more years of work experience.
• Six or more years of relevant work experience.
• Experience in implementing AI driven production use cases in the area of customer churn, customer lifecycle, retention, loyalty etc.
• Experience in building large scale customer churn solutions and with proven business benefits.
• Experience designing and implementing successful churn, survival, segmentation algorithms, demonstrated through publications, projects, and industry experience.
• Experience with diverse inputs, including (but not limited to) text, clickstream and sequential data.
• Experience in machine learning, deep learning, and statistical modeling techniques.
• Programming skills in Python or other related languages.
• Experience with natural language processing, computer vision, or audio processing.

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

• Experience in working on cloud platforms like GCP
• Strong problem-solving skills and ability to work on complex, open-ended research problems.
• Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams.
• Self-motivated, proactive, and able to manage multiple tasks and priorities in a fast-paced environment.