Lead Data Scientist

Verizon
Verizon

Job Overview

What youll be doing…

This position will drive profitable growth and business innovation by applying cutting edge machine learning techniques and AI technology. It will independently lead data science projects that drive product personalization, marketing effectiveness, channel optimization, better customer experience, and operation efficiency. 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 business.

Youll create analytical models to predict customer behavior and business events. Youll then present the results to various business partners such as marketing, finance, and our customer relationship management group.

  • Independently lead 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.
  • Assist engagement with key business stakeholders in discussion on business strategies and opportunities.
  • Build a strong working relationship and develop deep partnership with the business.
  • Be a subject matter expert on machine learning and predictive modeling.
  • Drive technical innovation through active research and applications of new theories, techniques, and technologies.

What were looking for…

With an eye towards improving performance and predictability, you like the science of analytics. 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. Youre able to communicate technical information to non-technical audiences, and you take pride in your ability to share your considerable knowledge with your peers.

You’ll need to have:

  • Bachelors degree or four or more years of work experience.
  • Six or more years of relevant work experience.

Even better if you have:

  • A Ph.D. in statistics, Math, Economics, Engineering, Computer Science, Business Analytics, Data Science or a relevant field.
  • Five 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 relevant fields.
  • Experience in leading data science projects and delivering from end to end.
  • Strong technical experience in machine learning and statistical modeling.
  • Strong in computing/programming skills; experience in Python, Spark,R, and Linux shell script.
  • Experience in data management and data analysis in relational database and in Hadoop.
  • Strong communication and interpersonal influencing skills.
  • Excellent problem solving and critical thinking capabilities.
  • Experience with NLP and chatbot technology.
  • Experience with Hadoop, Spark, C++, scala, AWS, or Java.
  • Strong experience in SQL and database management.

When you join Verizon…

Youll have the power to go beyond doing the work thats 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, youll 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 well go far.

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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