Data Scientist

Responsibilities:

• Create Dashboards using Tableau with Databricks with both visuals as well as tables for end-users to slice-and -dice data to gain insights to various business processes.
• Demo work in small and large virtual settings, obtaining client and end-user feedback to enhance dashboards to meet business requirements.
• Within an Agile environment, collaborate with other data scientists, data engineers, quality engineers, business analysts and product owners to ensure solutions meet client needs.
• Create and maintain datasets from disparate data sources and provide analysis there of using SQL and Databricks within an Azure Cloud Environment.
• Utilizing Tableau in a Databricks Azure Cloud Environment, create dashboards containing visuals and tables that allow end-users to slice-and-dice data to gain insights to various business processes.
• Balance technical data architecture and data flows with end-user UX best practices.
• Tell stories with data; educate and instill confidence to motivate stakeholders to act on recommendations.
• Engage with Data Engineers to build-out next-level data infrastructure.

Key Skills:

• Programming. 
• Statistics and probability. 
• Data wrangling and database management. 
• Machine learning and deep learning. 
• Data visualization. 
• Cloud computing. 
• Interpersonal skills.