Data Analyst​/Scientist Verge Information Technologies, Inc.

Job Description

What you’ll be doing

The Database Management team is responsible for delivering data‑led intelligence to the sales and marketing teams in VBG from campaign lead lists to adhoc analysis on market sizing and derived table creation for use in sales intelligence tools. 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.

With an eye toward 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.

• Six or more years of relevant experience required, demonstrated through one or a combination of work and/or military experience, or specialized training.
• Experience as a data scientist, analyst, or statistical modeler
• Experience with Teradata and Google Cloud Platform
• Proficiency in SQL and Python along with visualization tools Tableau and Looker

• Degree in business intelligence and analytics, computer science, or mathematics.
• Master’s degree.
• Knowledge of distributive computing tools, like Hive or Spark.
• Experience with Site Catalyst/Clickstream.
• Experience with programming languages, like Java, Python, or Scala.