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What you’ll be doing...
This is a highly strategic role that will require deep technical expertise and at least over a decade of commercial implementation experience in developing and scaling data science and AI capabilities at a large enterprise, preferably at a Fortune 50 company or at a technology startup that has successfully scaled to a billion plus in annual revenue over the past decade.
Reporting to the VP of Verizon’s AI Center, this individual will play a strategic advisor role to the senior leaders and the Chief Data and Analytic Officer at Verizon.This role will work closely with Data Science leaders in the AI Center to lead our AI products and platform roadmap and maturity. These AI capabilities will include predictive, prescriptive and adaptive models, experimentation platform, and end to end model lifecycle management for all predictions at Verizon. These will need to be implemented on premise, in cloud and on the edge and in both real-time and batch mode depending upon the business applications.
At Verizon, we are on a multi-year journey to industrialize our data science and AI capabilities. Very simply, this means that AI will fuel all decisions and business processes across the company. At $130B+ in annual revenue, this is a pioneering opportunity to design and shape AI at scale in the Telco industry. With our leadership in bringing 5G network nationwide, the opportunity for AI will only grow exponentially in going from enabling billions of predictions to possibly trillions of predictions that are automated and real-time. Therefore, it will be critical that this candidate possess previous experience with commercial success in designing, developing and implementing AI products and capabilities.
An ideal candidate will have excellent communication skills, critical thinking, and strategic thinking skills above and beyond the technical knowledge and commercial implementation experience required.
What we’re looking for...
Design and shape our AI Products and Roadmap
Collaborate with AI Center Data Scientist teams and senior leaders to ensure model architecture and data architecture roadmaps are designed to scale beyond a business area. Anticipate connections, dependencies, and risks in scaling and plan for these in the design phase as opposed to solving for these down the road once the solutions are in production where these could be far more expensive.
Design, develop, and deploy large-scale AI products with closed loop optimization in a production environment. Find ways to optimize and improve our AI products by looking across various business applications and making the connections that may not be visible to teams working on a specific problem space.
Experiment and bring relevant data science techniques, algorithms, and tools to the organization and embed into ways of working of data science teams.
Operate as a thought partner to the Enterprise Architecture team on our overall enterprise northstar architecture to ensure that AI products and platforms requirements are accurately represented in all our business and technology applications and roadmap.
Lead in designing AI that protects the privacy of our customers and ensures that our modeling practices are ethical and bias free. Bring thought leadership in this space by introducing ways of identifying and testing for biases in our models. Introduce new methods to protect the confidentiality of our data.
Shape and communicate a clear vision, strategy and roadmap to all stakeholders
Technical Thought Leadership
Operate as an expert both within Verizon and externally within industry
Serve as a technical thought leader and advisor to the organization
Serve as trusted advisor to our business partners
Attract top talent with deep technical expertise to Verizon
Coach and mentor our high potential talent
Partner with academia and startup ecosystem to identify and potentially bring in new AI applications that can be of value to Verizon.
Stay informed on the latest advancements in AI and technology space, finding ways to deliver value by applying and customizing these to our specific problem space.
Help create an environment where our scientists are engaged in pioneering work that can be shared with the world in a number of ways like open source, publications, etc.
Inspire our team to create monetizable AI applications that can be leveraged both within Verizon and externally with Verizon’s partners.
MS/PhD in Mathematics, Statistics, Operations Research, Economics, Physics, Computer Science or related major (or equivalent industry experience)
7+ years of experience in modeling and algorithms
5+ years of experience deploying models with large-scale business impact in commercial setting
Expertise in linear algebra, statistics, information theory, econometrics, time series modeling, esp. in statistical inference, generalized linear models, Markov decision processes
Significant expertise in recommender algorithms, and techniques like collaborative filtering, max factorization, graph modeling, and experience with evaluation rigor to scale such methods.
Expert level knowledge of AI/ML models, frameworks(keras, pytorch, etc.) and libraries/packages/apis (e.g., scikit)
Highly proficient in Python, Scala, C/C++, Java
Deep understanding to data structures, data modeling and software architecture skills
Outstanding problem diagnosing and problem framing skills
Great if you have:
.Excellent communication and cross-functional collaboration skills
Strong applied experience of Deep Learning, Dynamic Programming, Reinforcement Learning or related areas
Experience working with large event-driven distributed systems and multi-threaded applications
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.