Lead Data Scientist

Key Skills

Algorithms, AWS, Azure, C++, Deep Learning, Linux Operating system, Machine learning techniques, Python Programming

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 Data Scientist will work closely with data science and engineering teams and the entire data scientist community at Verizon in proactively designing and developing AI capabilities. These AI capabilities will include predictive, prescriptive, adaptive and generative applications for all predictions and inferences at Verizon. This position will be under the Multimodal and Edge that requires, apart from advanced machine learning, knowledge or capability to learn and implement generative techniques, graph neural networks and graphical analytic techniques. 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. 

This is a technical lead role with machine learning, deep learning expertise and Generative AI experience with implementation of AI in commercial applications. This individual will focus on designing large scale AI capabilities that cut across multiple business domains working with and leading the technical roadmap for the data scientist and machine learning engineer teams in the domain of Generative AI and Computer Vision.

• Identifying and developing AI algorithms to support business goals and lead projects technically to initiate, design, and execute for product solutions across Bus in Verizon.

• Delivering and bringing expertise to domain of Machine learning and AI

• Building strong collaborative relationships with our internal and external partners to ensure programmatic activities in AI and Generative AI relevant to product delivery and research interests.

• Working collaboratively with multifunctional teams across Verizon to leverage resources and ensure successful implementation of solutions.

• Identifying multidisciplinary solutions and make complex decisions and recommend a course of action to troubleshoot issues.

• Developing and manage relationships with external academic collaborators

• Maintaining a thorough and up to date knowledge of scientific advancements in AI and communicate research through peer-reviewed publications and presentations to internal and external audiences

• Understanding and adhering to corporate standards regarding code of conduct and Verizon Credo.

What we’re looking for...

You’ll need to have:

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

• Six or more years of relevant work experience.

• Experienced programming capabilities in Python, C++. Good hands-on knowledge of IDE’s like VScode and notebooks, vector databases and image storage mechanisms

• Strong knowledge of data handling and preprocessing

• Knowledge of graphs and applications for AI and Machine learning

• Must be highly motivated, independent, collaborative, and able to communicate effectively with a cross-functional team

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

• PhD in Quantitative 10 + years of related work experience in the domain of AI, Machine learning and analysis.

• Possesses leading-edge scientific understanding and working knowledge of principles, concepts, and practices in the field of Generative AI, Computer Vision and Multimodal AI.

• Demonstrates continuous growth in depth and breadth of AI knowledge and understanding of Machine learning

• Acts independently to achieve pre-determined goals and objectives and mentors junior members in the team.

• Able to identify multidisciplinary solutions to problems, make insightful decisions and recommend a technical path of implementation

• Represents and supports culture of employee growth and development

• Successful experience in working on multimodal data

• Experience in mentoring and developing team members

• Track record of scientific publications, presentations, patents, projects as senior author/contributor

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

We’re proud to be an equal opportunity employer - and celebrate our employees’ differences, including race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, and Veteran status. 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.

Our benefits are designed to help you move forward in your career, and in areas of your life outside of Verizon. From health and wellness benefits, short term incentives, 401(k) Savings Plan, stock incentive programs, paid time off, parental leave, adoption assistance and tuition assistance, plus other incentives, we’ve got you covered with our award-winning total rewards package. For part-timers, your coverage will vary as you may be eligible for some of these benefits depending on your individual circumstances.

If you are hired into a California, Colorado, Connecticut, Nevada, New York, Rhode Island or Washington work location, the compensation range for this position is between $136,000.00 and $253,000.00 annually based on a full-time schedule. The salary will vary depending on your location and confirmed job-related skills and experience. This is an incentive based position with the potential to earn more. For part time roles, your compensation will be adjusted to reflect your hours.