Senior Manager-Data Science

Key Skills

Aartificial intelligence, Apache Hadoop, AWS, Azure, Cloud computing, Data Modeling, Data science techniques, Data structuring, Google Cloud Platform (GCP), Java Programming, Keras software library, Machine learning techniques, Mathematics, Probability, Python Programming, PyTorch, R Programming, Scikit-learn, Statistics

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.

Verizon is a leading provider of technology, communications, information and entertainment products, transforming the way we connect across the globe. We’re a diverse network of people driven by our ambition and united in our shared purpose 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 Senior Manager, you will lead a team of data scientists focused on a specific program(s) delivering a business outcome within a problem space. 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. An ideal candidate will have excellent communication skills, critical thinking, and strategic thinking skills above and beyond the technical knowledge and leadership skills required for this position.

This role is responsible for Forecasting, data analytics and people management across projects by applying various statistical techniques, business acumen & stake holder management.

The Senior Manager, Forecasting develops the Forecasting team and brings in best in class forecasting methods. This role serves as a leader in statistical forecast modeling and forecasting with a focus on driving continuous improvement for the demand function.

Build and Manage the Team

• Building a diverse team with an inclusive culture and also attract and retain top data science and AI talent.
• Mentoring, guiding, and developing Data Scientists and people leaders(if applicable).
• Enabling career development via access to training resources, on the job coaching and mentoring.

Deliver Business Outcomes & Influence Business Partners

• Lead and manage team responsible for deploying analytical solutions to inform forecasts and drive decision-making across various projects.
• Develop and implement Forecasting best practices.
• Implementing generalized AI solutions that addresses several business outcomes across a problem space.
• Operating with a high degree of autonomy, accountability and a sense of urgency in delivering business outcomes.
• Aligning with business partners to enable your team to design, develop, and deploy large-scale AI products with closed loop optimization in a production environment. 

Elevate the AI Practice

• Enforcing the established best practices and governance routines to ensure adherence to model management practices, peer reviews, and compliance to our policy standards for privacy, ethics and bias.
• Fostering an innovation culture where our scientists are engaged in pioneering work that can be shared with the world in a number of ways like inventions, open source, publications, etc.
• Creating monetizable AI applications that can be leveraged both within Verizon and externally with Verizon’s partners.

What we’re looking for ... 

You are a dynamic leader with experience in implementation of AI in commercial applications driving business value and are proud to be a hands-on practitioner. You are constantly challenging the status quo and identifying new innovative ways to drive your team towards new ways of working that creates efficiencies.

You’ll need to have:

• Bachelor’s degree or four or more years of work experience.
• Six or more years of relevant work experience.
• Five or more years of experience leading and building data science teams and talents.
• Experience delivering business outcomes in large and complex business organizations or fast-growing startup businesses.
• Ability to communicate complex model designs and outcomes in business terms to a non-technical audience.
• Knowledge and ability to explain both the code and the underlying math used in algorithms/models. 
• Excellent coding proficiency in python, java, R, etc. Knowledge of AI/ML models, frameworks (keras, pytorch, etc.) and libraries/packages/apis (e.g., scikit).

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

• Advanced degree in Computer Science, Mathematics or related field.
• Advanced knowledge of math, probability, statistics, and models.
• Experience with Hadoop, AWS/GCP/Azure or other distributed compute services and cloud environments.
• Experience to data structures, data modeling and software architecture.
• Excellent cross-functional collaboration skills & Outstanding analytical and problem-solving 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