Lead Data Scientist

• Create Dashboards using Tableau with Databricks with both visuals (charts, graphs, etc…) 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 (e.g.: charts, graphs) 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
• Participate in GitHub code reviews and knowledge sharing, especially when building solutions within a business domain that other team members may not work in
• Partner with customers, product owners and business analysts to gather requirements and/or mockup potential dashboard solutions.

Our client is looking for a Senior Data Scientist to join our team. In this role, you ll utilize your expertise in text and data analytics at a high level. We are seeking a confident, enthusiastic and self-motivated individual to conduct this valuable work in a fully remote capacity within the USA. This position is open to senior- and principal-level professionals, depending on experience., * Bachelor s degree in data science, computer science, analytics or other field.

• 10 years experience in: Data and analytics projects using data applications to develop insights from large datasets Handling large datasets
• 2 years experience in: JIRA, GitHub and Confluence Databricks Statistical software and database management software packages (e.g., R, Python, SAS) Cloud platforms Relational databases and data warehousing (e.g., OLAP, dimensional modeling) Creating dashboards that contain visuals and tables using Tableau with Databricks Creating and maintaining datasets from disparate data sources and providing analysis utilizing SQL and Databricks Agile methodology., * Excellent problem-solving skills and end-to-end quantitative thinking.
• Experience with data linking / advanced data management, combining data from different sources, automation, and deploying data science solutions at scale
• Experience in data organization, cleaning, treating, etc.; knowledge of version control and reproducibility.
• Prior experience in consulting and/or healthcare business segment.

Professional Skills

• Leadership and team-working skills
• Ability to self-organize, prioritize and conduct research on multiple projects under tight deadlines in a fast-paced environment
• Ability to communicate and write clearly in English.