HomeData Science Jobs- USAVerizon | Hiring | Data Scientist Engineer in Irving, TX | Plano,...

Verizon | Hiring | Data Scientist Engineer in Irving, TX | Plano, TX | BigDataKB.com | 5 Oct 2022

Job Location: Plano, TX

When you join Verizon

Verizon is one of the world’s leading providers of technology and communications services, transforming the way we connect across the globe. We’re a diverse network of people driven by our shared ambition 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…

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In this role you’ll apply cutting-edge machine learning techniques and AI technology and will lead data science projects to reduce fraud loss and prevent future fraud loss across all Verizon wireless/wireline channels for both consumer and business line of businesses. You will work closely with a team of talented data scientists, Big Data engineers, and software developers and play a key role in developing and delivering the next generation AI/ML solutions to the fraud IT/business. You’ll also create data models to predict customer behavior and risky events/transactions and use it towards improving performance and predictability.

  • Developing resolutions to complex problems, using your sharp judgment to develop methods, techniques, and evaluation criteria enables you to deliver solutions that make a big impact.
  • Engagement with key business stakeholders in discussion on business strategies and opportunities.
  • Build strong working relationship and develop deep partnership with the other IT teams and business.
  • Lead small-to-medium portfolios of data science projects and deliver innovative technical solutions to solve problems and improve business outcomes.
  • Lead the design and development of machine learning/statistical models and ensure best performance.
  • Work closely with engineers to deploy models in production both in real time and in batch process and systematically track model performance.
  • Be a subject matter expert on machine learning and predictive modeling and a mentor to junior data scientists.
  • Drive technical innovation through active research and applications of new theories, techniques, and technologies.

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.

What we’re looking for…

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 working with small-to-medium-sized applications.
  • Experience in VLDB in multiple environments.
  • Experience with either Oracle/Postgres Database.
  • Development experience with PL/SQL and SQL*Plus.
  • Experience with UNIX shell scripting using Python.

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

  • Master’s degree in a quantitative field or relevant field.
  • Seven or more years of experience in practicing machine learning and data science in business.
  • Strong foundational quantitative knowledge and skills; extensive training in math, statistics, physical science, engineering, or other related fields.
  • Experience in leading medium-scale data science projects and delivering end-to-end.
  • Technical experience in machine learning and statistical modeling.
  • Experience in data management and data analysis in relational database.
  • Strong communication and interpersonal influencing skills.
  • Excellent problem solving and critical thinking capabilities.
  • Strong experience in SQL and database management.
  • Python (including packages like SciKitLearn, Numpy, and Pandas).
  • Experience with other data analysis software and scripting languages (e.g., R, SAS).
  • General SQL proficiency one or many (Postgres, Oracle, SQL Server, Teradata).
  • Strong background in statistics.
  • Risk management/modeling experience.
  • Ability to bring in new technologies and streamline the existing and new applications.
  • Ability to take immediate ownership of unanticipated fraud scenarios and quickly develop ad-hoc solutions when necessary.
  • Work with business to understand the requirements and help Verizon to come up with right fraud architecture.
  • Work with Project Management groups to co-ordinate multiple projects.
  • Work with multiple Verizon architects to come up with right design/solution.
  • Work with the development team to implement the solution.
  • The ability to communicate technical information to non-technical audiences and to take pride in your ability to share your considerable knowledge with your peers.
  • Teamwork and collaboration skills to work across organizations and lead cross-functional teams.
  • Communication and stakeholder management skills.
  • Problem solving skills to develop quick yet sound solutions to resolve complex issues.
  • Strong experience in Python programming and applying using Python for fraud detection.

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.

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.

COVID-19 Vaccination Requirement

NYC candidates: Verizon requires new hires to be fully vaccinated against COVID-19 for onsite and hybrid NYC roles. Verizon provides reasonable accommodations consistent with legal requirements (e.g., for medical or religious reasons). Additional information will be provided during the hiring process.

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