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
- Leading and managing team responsible for deploying analytical solutions to inform forecasts and drive decision-making across various projects
- Developing and implementing 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 talent
- 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.
- Understanding 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 similar field is preferred
- Advanced knowledge of math, probability, statistics, and models
- Experience with Hadoop, AWS/GCP/Azure or other distributed compute services and cloud environments
- Exposure to data structures, data modeling and software architecture
- Excellent cross-functional collaboration skills & Outstanding analytical and problem solving skills.