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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…

This is a senior level technical role in the company. This position will help lead innovations through building and applying cutting edge machine learning techniques and AI technology to drive business growth. It will lead strategic initiatives and research in developing AI technology and machine learning algorithms and techniques. You will provide guidance to teams of talented data scientists and machine learning engineers in developing and delivering the next generation AI/ML solutions to the business.

You’ll be a thought leader who challenges the status quo and brings new, innovative concepts and technology into Verizon. You’ll be an educator and evangelist who is influential and persuasive in promoting AI/ML across the company. You’ll represent Verizon on AI/ML and interact with leading researchers and industry leaders. You will also be part of the driving force for attracting top talent.

The key responsibilities include:

  • Partnering with key business stakeholders to develop AI strategy and roadmap and develop and execute plans to deliver business results.

  • Independently leading portfolios of AI projects and designing, developing, and delivering AI solutions from E2E

  • Developing the next generation of AI that drives innovation and business growth, improves customer experience and increases operational efficiency.

  • Operating as an expert both within Verizon and externally within industry

  • Serving as a technical thought leader and advisor to the organization and trusted advisor to our business partners

  • Staying 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.

  • Driving innovation by introducing state of the art AI techniques and technology to the team

  • Actively researching and developing new techniques/solutions to solve business problems and accelerate AI Industrialization

  • Helping 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.

  • Helping establish best practices and governance routines to ensure adherence to model management policies, peer reviews, and compliance to our policy standards for privacy, ethics, and bias

  • Mentoring and coaching junior data scientists in their career development and technical knowledge and skills

  • Helping attract, recruit and retain top data science and AI talent and build a diverse team with an inclusive culture

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.

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

  • A Master’s degree or Ph.D. in Computer Science, Statistics, Applied Math, Engineer or Data Science

  • Proficient in manipulating and analyzing data from different sources (cloud and on-premise), at different scales (big data and small data), and of different formats

  • Expert level understanding and ability to explain both the code and the underlying math used in algorithms/models.

  • Excellent coding proficiency with demonstrated expertise in python, Spark, SQL, Linux Shell Script, etc.

  • Expert level knowledge of a variety of AI/ML models, frameworks (e.g. pytorch) and libraries/packages/APIs

  • 5+ years of experience in scaling AI in areas like marketing, customer experience, sales, operations, etc.

  • 7+ years of developing models and algorithms independently, writing your own code from scratch, and deploying in production

  • Excellent communication & cross-functional collaboration skills

  • Outstanding critical thinking and problem solving skills.

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 a minimum eight assigned office days per month that will be 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.


Company benefits

Open to part-time employees
Dental coverage
Health insurance
Fertility benefits
Eye Care Support
Family health insurance
Accrued annual leave
Pregnancy loss leave
Life insurance
Adoption leave
Health assessment
Shared parental leave
On-site gym
401K
Employee discounts
Lunch and learns
Teambuilding days

We need to ask employees of Verizon what it's like to work there before we assign the company FlexScore®.

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Working at Verizon

Office locations

Australia, Czech Republic, France, Germany, India, Ireland, Japan, Netherlands, New Zealand, Philippines, Singapore, United Kingdom and multiple United States locations.

Hiring Countries

Australia

Czechia

France

Germany

India

Japan

Netherlands

Philippines

Singapore

United Kingdom

United States

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