Job summary
Job post source
This job is directly from Verizon
Job overview
The Senior Data Scientist role at Verizon focuses on developing AI use cases to enhance customer experience through advanced analytics and machine learning.
Responsibilities and impact
Daily responsibilities include driving insights through statistical models, directing data gathering, analyzing data, preparing reports, and creating visualizations for stakeholders.
Compensation and benefits
The salary range for this position is between $110,000 and $205,000 annually, with additional benefits including health and wellness programs, 401(k), stock incentives, and paid time off.
Experience and skills
Candidates need a Bachelor's degree or equivalent experience, with four or more years in advanced analytics, experience in machine learning, and proficiency in Python, SQL, and related tools.
Career development
Verizon offers opportunities for professional growth through diverse projects and a collaborative environment that encourages learning new technologies.
Work environment and culture
The company promotes a diverse and inclusive culture, valuing collaboration and authenticity among its employees.
Company information
Verizon is a leading provider of technology and communications services, known for its commitment to innovation and community impact.
Team overview
The team is part of the Artificial Intelligence and Data Network Enablement group, focusing on AI applications within the Verizon network.
Job location and travel
This is a hybrid role requiring a minimum of eight office days per month, with defined work locations including remote options.
Application process
Interested candidates are encouraged to apply even if they do not meet every qualification listed in the job description.
Unique job features
This role offers unique opportunities to work on innovative AI projects that directly impact customer experience.
Company overview
Verizon Communications Inc. is a leading telecommunications company that provides wireless services, broadband, and fiber-optic solutions to consumers, businesses, and government entities. They generate revenue primarily through subscription-based services, including mobile phone plans, internet services, and digital television. Founded in 1983 as Bell Atlantic, Verizon has a rich history marked by the acquisition of MCI Inc. in 2006 and the merger with GTE in 2000, which significantly expanded its footprint. The company is also known for its investments in 5G technology and network infrastructure, positioning itself as a pioneer in next-generation connectivity.
How to land this job
Tailor your resume to emphasize your experience in advanced analytics, machine learning, and statistical modeling, as these are key components of the Senior Data Scientist role at Verizon.
Highlight your proficiency with tools such as Python, SQL, and PySpark, as well as your ability to analyze both structured and unstructured data, aligning with the job requirements.
Apply for the position through multiple platforms, including Verizon's corporate website and LinkedIn, to maximize your exposure to hiring managers.
Network with professionals in the Artificial Intelligence and Data Network Enablement team at Verizon on LinkedIn, using ice breakers like discussing recent AI innovations or expressing interest in their approach to data-driven decision-making.
Optimize your resume for ATS by incorporating specific keywords from the job description, such as 'machine learning', 'predictive modeling', and 'data visualization', to improve your chances of passing initial screenings.
Consider utilizing Jennie Johnson's Power Apply feature, which can streamline your application process by customizing your resume and identifying the best channels to apply, allowing you to focus on other aspects of your job search.
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