Associate Director-Data Science at Verizon in Basking Ridge, NJ

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’ll be ensuring that analytics and AI/ML models drive continuous business improvements, bringing more profitable growth and an even better customer experience. You’ll define the analytics strategy, modeling strategy and champion that strategy across the business, in order to create buy-in for data-driven decision making. Your end goal is to recommend improvements that will go straight to the bottom line, by helping us serve our customers. You’ll also lead the Data Science team, planning and overseeing the work, and creating an engaging environment where team members can thrive. Your end goal is to recommend improvements that will go straight to the bottom line by helping us serve our customers.

• Leading a strong global data science team to support the VBG Wireline and Wireless business.
• Partnering with leaders and other stakeholders to understand business challenges.
• Designing creative approaches to uncover the biggest opportunities for cost and time savings.
• Defining and driving the analytics, audience strategy and modeling approaches.
• Building predictive models using AI and ML algorithms.
• Building business cases and translating findings into practical business implications.
• Driving the adoption of analytics and modeling in decision-making.
• Driving AI enablement for day-to-day BI requests, reporting & analytics requests.

What we’re looking for...

You are the one reading up on the latest best practices in data mining and visualization. You can visualize the big picture strategy, but can also break it down into the components to get the job done. You believe that the best decisions are based in data and you’re the one that knows how to tease out the key learning within a dataset. You have credibility with people because you are an expert in all things data but you also know how to bring it down to the level that your audience can understand—that’s practical and will help the business improve. And you’re an effective and inspiring leader who brings out the best in others.

You’ll need to have:

• Bachelor’s degree in mathematics, statistics, physics, engineering, computer science, or economics or four or more years of relevant work experience.
• Eight or more years of relevant experience required, demonstrated through one or a combination of work and/or military experience, or specialized training.
• Experience in applying statistical ideas and methods to data sets to answer business problems.
• Experience in building predictive models using Machine learning algorithms.
• Experience with visual science or dashboard design principles.

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

• Master's degree or PhD in Operations Research, Industrial Engineering, Statistics, Economics, or a related field.
• Experience with Tableau or similar visual analysis tool, optimization, analytics and large data sets, developing visually compelling interactive dashboards.
• Project management experience.
• Strong understanding of database concepts (Oracle, MS SQL, generic SQL, etc.).
• Strong understanding of data warehouse and data lake architecture (Teradata, GCP, Hadoop).
• Strong understanding on ML tools including R, Python, SAS, SPSS, DataRobot, H2O.
• Good understanding of third party analytic tools.
• Experience with general purpose programming languages (Java, .Net, Python, Perl, etc.).
• Experience with shell scripting tools in Windows, Linux/Unix is a plus.
• Experience with data aggregating tools such as SPLUNK is a plus.

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 working from home and a minimum of three days per week in the office, which will be set by your manager. Employees are responsible for maintaining compliance with hybrid work policies.

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, up to 8 company paid holidays per year and up to 6 personal days per year, paid 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: $138,500.00 - $242,000.00.