Senior Data Science Engineer

verizon; Dublin; On-site; EUR 90,000 - 140,000; Full time

Job summary

Verizon in Dublin, Ireland is seeking a Senior Data Scientist to lead complex analyses and develop data-driven solutions using Big Data technologies. This hybrid role combines home office days with time in the assigned Dublin office.

You will build dashboards, ensure data quality, and mentor teammates while staying ahead of industry trends and security considerations.

Qualifications

• Bachelor's degree or equiv work experience.
• Experience as a data scientist, analyst, or statistical modeler.
• Ability to communicate technical information to non-technical audiences.

Responsibilities

• Perform analyses to find actionable insights.
• Develop systems, applications, and visual dashboards.
• Conduct system usage assessments and promote data quality.
• Address security threats and improve network reliability.
• Lead projects and collaborate with cross-functional teams.

Skills

Data analysis

Big Data

Communication to non-technical

Statistical modeling

Programming languages

Education

Bachelor's degree or equiv

Master's degree

Tools

Tableau

Teradata SQL

Hive/Spark

Python

Java

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.

What you'll be doing...

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 the equivariant work experience.
• Relevant experience, demonstrated through one or a combination of work and/or military experience, or specialized training.
• 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 Tableau.
• Experience with Data Warehousing or Teradata SQL.
• Knowledge of distributive computing tools, like Hive or Spark.
• Experience with SiteCatalyst/Clickstream.
• Experience with programming languages, like Java, Python, or Scala.

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

37.5

Equal Employment Opportunity

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