What you’ll be doing...

We are looking for a Data Scientist who is ready, willing and able to work on a portfolio of innovative projects to enable digital operational excellence in Verizon Business Group (VBG) Customer Operations. The program direction includes artificial intelligence, operations automation, and industry leading omnichannel technology to improve the efficiency and client experience of our services. You will develop models and automation to eliminate manual work and improve customer experience. You will use machine learning and statistical methodologies to develop analytical solutions.

  • Design, create, analyze and implement operations initiatives by translating results from data into actionable insights that help drive business goals and improve operational performance.

  • Develop and automate analytical reports for various business units and stakeholders throughout the organization to enable educated decision making.

  • Regularly present and share findings with stakeholders to drive action within the operations environment.

  • Monitor and analyze key metrics and execute recurring analyses and reporting.

  • Develop and maintain strong relationships with internal teams and provide analytical support as necessary.

  • Coordinate with other team members to understand and identify the business problems and deliver the comprehensive analytical solutions.

What we’re looking for...

You are highly analytical and can transform complex data into easily understood actionable information. You flourish in a fast-paced environment and can quickly adapt to changing priorities. You´ve got exceptional critical thinking skills and like to uncover solutions. You are flexible, dependable and work well individually and as part of a team.

You'll need to have:

  • Bachelor’s degree or four or more years of work experience.

  • Four or more years of relevant work experience,

  • Experience in machine learning, data engineering, and statistical methods.

  • Experience working with unstructured datasets.

  • Experience with model development in Python and/or R.

  • Knowledge with Data Visualization Tools (Tableau, Power BI, DOMO, Oracle BI, Etc.)

  • Willingness to travel occasionally.

Even better if you have:

  • A master’s degree in Data Science, IT, or related field.

  • SQL language skills.

  • Strong communication skills.

  • Demonstrated data analytics and critical thinking skills.

  • Ability to efficiently manage multiple projects with a strict focus on detail.

  • Experience working in a network operations environment.

  • Experience with large and complex data sets.

  • Strong machine learning and data-mining background.

  • Experience in modeling unstructured text data (Natural Language Processing).

When you join Verizon

You’ll have the power to go beyond – doing the work that’s transforming how people, businesses and things connect with each other. Not only do we provide the fastest and most reliable network for our customers, but we were first to 5G - a quantum leap in connectivity. Our connected solutions are making communities stronger and enabling energy efficiency. Here, you’ll have the ability to make an impact and create positive change. Whether you think in code, words, pictures or numbers, join our team of the best and brightest. We offer great pay, amazing benefits and opportunity to learn and grow in every role. Together we’ll go far.

Diversity and Inclusion at Verizon

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.

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. Different makes us better.

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