Data Scientist

Key Skills

Java Programming, MATLAB Programming, Python Programming, R Programming, SAS, SPSS Statistics, SQL, Tableau, VBA

Job Description

When you join Verizon

Verizon is one of the world’s leading providers of technology and communications services, transforming the way we connect across the globe. We’re a diverse network of people driven by our shared ambition to shape a better future. Here, we have the ability to learn and grow at the speed of technology, and the space to create within every role. Together, we are moving the world forward – and you can too. Dream it. Build it. Do it here.

What you’ll be doing...

Financial Planning & Analytics As Service (FPAS) is at the heart of Verizon's Digital Finance vision focusing on solving most critical challenges using Data, Advanced Analytics, AI, and Automation. You will be joining the Analytics & Insights - Data Science team within FPAS that is focused on providing wide variety of ML and optimization solutions in Credit and Marketing Investments including Loan Decisions, Promotions and Pricing by applying advanced analytics techniques

This role involves working in a complex, multi-functional, Agile team environment with other data scientists and data engineers to develop and productionize analytics solutions. As a Data Scientist on the team you will work side-by-side with an experienced team to develop cutting edge AI/ML Models and solutions to tackle some of Verizon's biggest challenges.

Some of the high level focus areas for the role include:

• Partnering with internal business partners in gathering business requirements and developing advanced analytical solutions to complex problems.
• Participating in analytical projects delivering improvements in decision-making and business strategies via advanced analytics.
• Participating in the design, implementation and interpretation of experiments/trials for continuous refinement of on-going strategies.
• Translating predictive insights from complex analytical frameworks to marketing investment optimization.
• Preparing presentation materials and formal business case documents for use with senior management to promote findings and drive science based decision support recommendations.
• Developing and deploying both traditional statistical models and machine learning techniques and algorithms: Regression, clustering, neural networks, random forest etc. to guide marketing investments and strategy.
• Partnering with in-house data strategy experts to design analytically ready datasets by stitching customer data across multiple platforms and incorporating business rules.
• Developing strong relationships with business partners to transform the role of analytics to decision guidance (analytics as partner not as support function).
• Partnering with functional groups (Marketing, Bill2Cash, Commercial Finance, Operations, Network, etc.) to embed analytics and science driven approaches in all business decisions.
• Being recognized as a subject matter expert and participate in knowledge/best practice sharing opportunities.
• Broadening and strengthening knowledge of analytical methods, vendors and tools.

Where you’ll be working…

This hybrid role will have a defined work location that includes work from home and assigned office days as set by the manager.

What we’re looking for...

You'll need to have:

• Bachelor’s degree or four or more years of work experience.
• Four or more years of relevant work experience.
• Four or more years of experience managing projects.
• Experience in working with databases, reporting tools and ETL software
• Experience with data platforms & tools: Teradata, Oracle, BigQuery, Snowflake, RedShifto, etc
• Experience in database query languages, particularly various SQL dialects
• Experience in data management and data mining techniques

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

• A degree. Bachelors in Computer Science, Information Sciences or Engineering
• Strong communication (written and verbal) and critical thinking
• Ability to handle multiple projects simultaneously and determine priorities.
• Experience with cloud based applications
• Google Cloud Experience

Where you’ll be working

• In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager.

Scheduled Weekly Hours: 40