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Job Description

When you join Verizon

You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the V Team Life.

What you’ll be doing...

The role requires expertise in a specific domain within the network and a willingness to learn about the domain and continuously build deeper expertise. This individual will focus on designing and developing solutions per the AI standards and Responsible AI guardrails established within Verizon.

You will be responsible for:

  • Delivering Business Value from AI solutions in the Network.

  • Proposing solutions and strategies to tackle business challenges.

  • Data mining or extracting usable data from valuable data sources.

  • Validating the data along with assessing data readiness for solutions.

  • Enhancing data collection procedures to include all relevant information for developing machine learning models.

  • Participating and collaborating on design discussions and being decisive in design decisions.

  • Building Predictive and Prescriptive models for specific problems within the network domain that will require integration with the business process to drive value.

  • Validation and testing of models to certify the model is fit for use.

  • Guiding team members in improving their understanding of the network data, systems, and domain.

  • Articulating the story behind the solution in every stage through executive presentations.

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.

  • Expertise and proficiency in Python, Spark, and SQL to engineer data and draw insights from large data sets using AI/ML techniques.

  • Two or more years of experience with developing and deploying machine learning models to production.

  • Experience in building scoring models, and anomaly detection solutions.

  • Five or more years of experience in the telecom network domain.

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

  • Broad understanding of Autonomous Networks

  • Leadership in a Global Team

#Ntwk

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

Diversity and Inclusion

We’re proud to be an equal opportunity employer. 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®.

Location flexibility
?
More information needed
Hours flexibility
?
More information needed
Benefits
?
More information needed
Work-life balance
?
More information needed
Role modelling
?
More information needed
Autonomy
?
More information needed

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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