Data Scientist, Network Optimization

3 weeks ago


Basking Ridge, New Jersey, United States Verizon Full time

**Job Overview**

We are seeking a highly skilled Data Scientist to join our team at Verizon. In this role, you will be responsible for driving business decisions using data-driven insights and strategic thinking.

**About the Job**

This is a hybrid role, with a defined work location that includes work from home and a minimum eight assigned office days per month. You will have scheduled weekly hours of 40 hours.

**Responsibilities**

Your key responsibilities will include analyzing large-scale and complex datasets, identifying correlations between network metrics and customer experience, outlining and illustrating data stories, preparing senior-level presentations, engaging directly with data providers, performing ad-hoc analysis, developing reproducible analytical approaches, and presenting results and recommendations to senior management and business users.

**Requirements**

To succeed in this role, you will need a Bachelor's degree or four or more years of work experience, four or more years of relevant work experience, experience in applying statistical ideas and methods to data sets to answer business problems, and experience with programming in Python, R, SQL, or a similar language.

**Nice to Have**

You will also benefit from having a Master's of Science in Data Science, Analytics, Statistics, Computer Science, Engineering, or a related technical field, basic knowledge of wireless network and performance KPIs, strong understanding of data science methods and concepts, experience with developing insights, presenting, and influencing strategic decisions using data, experience in technical consulting in a data-related capacity, strong ability to articulate differences and benefits of statistical and data science concepts, and experience with geospatial analytics, data visualization tools, cloud computing platforms, and data engineering and data management tools and processes.

**Compensation**

The estimated salary for this position is between $88,000.00 and $164,000.00 annually based on a full-time schedule, and this is an incentive-based position with the potential to earn more. For part-time roles, your compensation will be adjusted to reflect your hours.



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