When you join Verizon

Verizon is a leading provider of technology, communications, information and entertainment products, transforming the way we connect across the globe. We’re a diverse network of people driven by our ambition and united in our shared purpose to shape a better future. Here, we have the ability to learn and grow at the speed of technology, and the space to create within every role. Together, we are moving the world forward – and you can too. Dream it. Build it. Do it here.

What you’ll be doing...

As the AI&D Principal Engineer - Data Science for Business Enablement Organization, you will be responsible for Business engagement and building innovative solutions by applying cutting edge data science and machine learning techniques.

  • Engage closely with the business, understand problem statements and incubate ideas and models.
  • Discover insights using data modelling and analysis techniques that will guide strategic decisions and uncover optimization opportunities.
  • Create data science driven solutions that drive product effectiveness, personalization, better customer experience and operational efficiencies.
  • With excellent domain expertise in the consumer domain, help build innovative use cases that transform and create opportunities
  • Work with a talented team of data analysts, software developers and data science professionals who will play a key role in developing and delivering the next generation AI/ML solutions to the business.
  • Have a passion to understand domains, systems and be able to associate business opportunities to this understanding and create analytical solutions
  • Leading a seamless experience and ensuring high standards of CX and performance across channels
  • Work closely and engage with key business stakeholders in discussion on business strategies and opportunities where data science and AI can be leveraged.
  • Cross-team collaboration – Work closely with other AI & D pillars like data engineering and ML engineering
  • Drive technical innovation through active research and applications of new theories, techniques, and technologies.
  • Focus on patents and publishing
  • Perform thorough data analysis, uncover opportunities and address business problems
  • Be a subject matter expert on machine learning and predictive modeling and a mentor to junior data scientists.

What we’re looking for...

You have excellent analytical skills, and eager to work in a collaborative environment with global teams to drive data science applications for business problems, develop end to end analytical solutions and communicate insights and findings to leadership. You are always willing to learn new technologies. You thrive in a dynamic environment and are able to interact with various stakeholders and cross functional teams to implement data science driven business solutions.

You will need to have:

  • Bachelor’s degree or four or more years of work experience.
  • Six or more years of relevant work experience.
  • Four or more years of experience practicing machine learning and data science in business.
  • Excellent communication, presentation and collaboration skills.
  • Assertive and objective decision making skills with the drive to deliver and arrive at solutions.
  • Experience in Data science, Machine Learning, practical experience in architecting, building and implementing large scale predictive models to solve business problems within consumer domain.
  • Experience in identifying business opportunities and build impactful data science driven use cases.
  • Excellent problem solving and critical thinking capabilities.
  • Experience using different statistical/modeling techniques.
  • Excellent working knowledge of SQL for data analysis and EDA using Python.

Even better you have:

  • Experience in leading data management and data analysis in relational database and in Hadoop.
  • Experience interacting and collaborating deeply with other lines of business & the ability to work across cross cultural teams.
  • Experiencewith A/B and Multi-variate testing, and should be able to provide recommendations accordingly.
  • Experiencein performing thorough data analysis using database queries, spreadsheets, statistical packages & tools, and communicate results effectively.
  • Experience with dev-ops and agile models, as well as more traditional functional operating models.
  • Industry recognitions - Patents & Papers.
  • Experience creating compelling narratives to influence decision makers.
  • Ability to interact and provide executive level communications to senior management