Job Description

When you join Verizon

You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife.

What you'll be doing…

You will drive profitable growth and business innovation by applying cutting-edge machine learning techniques and AI technology. You work on 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.

You’ll create machine learning models to predict customer behavior and intent to support marketing campaigns for customer retention, prospect acquisition, and revenue growth. You’ll then present the results to various business partners such as marketing, finance, and our customer relationship management group.

At Verizon, we are on a multi-year journey to industrialize our data science and AI capabilities. Very simply, this means that AI will fuel all decisions and business processes across the company. At $130B+ in annual revenue, this is a pioneering opportunity to design and shape AI at scale in the Telco industry. With our leadership in bringing 5G network nationwide, the opportunity for AI will only grow exponentially in going from enabling billions of predictions to possibly trillions of predictions that are automated and real-time. Therefore, it will be critical that this candidate possess previous experience in research and validation of AI and data science techniques.

• Independently work on data science projects and deliver innovative technical solutions to solve problems and improve business outcomes
• Be involved in the design and development of machine learning/statistical models and ensure best performance
• Work closely with machine learning 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 strong working relationships and develop deep partnerships with the business
• Become a subject matter expert on machine learning and predictive modeling
• Actively research new theories, techniques, and technologies

What we're looking for…

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

You'll need to have:

• Bachelor's degree or four or more years of work experience.
• Four or more years of relevant experience required, demonstrated through work experience and/or military experience.
• Foundational quantitative knowledge and skills; extensive training in math, statistics, physical science, engineering, or other related fields
• Hands-on computing/programming skills; proficient in Python
• Experience in data science projects and delivering from end-to-end
• Technical experience in machine learning and statistical modeling

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

• Master’s degree in a quantitative field or equivalent
• A Ph.D. in Computer Science, Statistics, Math, Economics, Engineering, Business Analytics, Data Science or a related field
• Experience with in data management and data analysis in relational databases and Hadoop
• Experience with in SQL and database management
• Excellent communication skills
• Excellent cross-functional collaboration skills
• Outstanding analytical and problem-solving skills

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.

Where you’ll be working

In this hybrid role, you'll have a defined work location that includes work from home and a minimum eight assigned office days per month that will be set by your manager.

Scheduled Weekly Hours

40

Equal Employment Opportunity

Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to veteran status, disability or other legally protected characteristics.

Benefits and Compensation

Our benefits are designed to help you move forward in your career, and in areas of your life outside of Verizon. From health and wellness benefit options including: medical, dental, vision, short and long term disability, basic life insurance, supplemental life insurance, AD&D insurance, identity theft protection, pet insurance and group home & auto insurance. We also offer a matched 401(k) savings plan, stock incentive programs, up to 8 company paid holidays per year and up to 6 personal days per year, parental leave, adoption assistance and tuition assistance, plus other incentives, we’ve got you covered with our award-winning total rewards package. Depending on the role, employees have the opportunity to receive compensation in the form of premium pay such as overtime, shift differential, holiday pay, allowances, etc. Newly hired employees receive up to 15 days of vacation per year, which grows with additional service. For part-timers, your coverage will vary as you may be eligible for some of these benefits depending on your individual circumstances.

The salary will vary depending on your location and confirmed job-related skills and experience. 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.

The annual salary range for the location(s) listed on this job requisition based on a full-time schedule is: $101,000.00 - $194,000.00.

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