Senior Engineer Consultant - Accounting Data Science

Key Skills

Accounting, Big Data Technology, Data science techniques, Data Visualization, Data Warehousing, Github, GitLab, Python Programming, R Programming

Job Description

We use digital data as the fuel to propel us beyond our competition. As a Senior Data Scientist, you’ll lead projects that develop and perform complex analyses using Big Data technologies. You’ll be constantly on the lookout for new modeling techniques, evolving technologies, and emerging industry trends so that we can stay ahead of the game. Your work will help us meet our customers’ needs and make it even easier for them to do business with us.

• Performing analyses to find actionable insights.

• Developing systems, applications, and visual dashboards.

• Conducting and guiding others through system usage assessments.

• Ensuring data quality and promoting process improvement.

• Handling security threats, and growing the dependability and reliability of our network through tools and software.

What we’re looking for...

With an eye towards improving performance and predictability, you like the science of analytics. Developing resolutions to complex problems, using your sharp judgment to develop methods, techniques, and evaluation criteria allows you to deliver solutions that make a huge impact. You’re able to communicate technical information to non-technical audiences, and you take pride in your ability to share your considerable knowledge with your peers.

You’ll need to have:

• Bachelor’s degree or four or more years of work experience.

• Six or more years of relevant work experience.

• Experience as a data scientist, analyst, or statistical modeler.

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

• Degree in business intelligence and analytics, computer science, or mathematics.

• Master’s degree.

• Experience with visualization tools, like Qlik.

• Experience with Data Warehousing or Teradata SQL.

• Knowledge of distributive computing tools, like Alteryx or Domino.

• Experience with GitHub/GitLab.

• Experience with programming languages, like Python, or R.

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

We’re proud to be an equal opportunity employer - and celebrate our employees’ differences, including race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, and Veteran status. At Verizon, we know that diversity makes us stronger. We are committed to a collaborative, inclusive environment that encourages authenticity and fosters a sense of belonging. We strive for everyone to feel valued, connected, and empowered to reach their potential and contribute their best. Check out our diversity and inclusion page to learn more.