Data Scientist - Bay Systems Consulting - NASA/EASTII
Your role:
The Data Scientist will be focused on supporting and enhancing NASA’s analytics capabilities and executing rapid and agile projects that deliver advanced analytics capabilities tuned for NASA projects. They will be comfortable with complex data sources, and technical nuances of software and hardware. Data Scientists help customize agile projects to meet specific requirements, such as building custom data models, building custom data visuals, or helping connect to novel data sources and formats.
Your responsibilities:
Deliver on the technical requirements and success criteria for each data science project by working with the NASA customer and with platform databases, Alteryx, Tableau, Power BI and platform Engineers to understand and meet the customer’s needs
Give presentations and answer detailed questions on the technical aspects of Alteryx, Tableau, MSSQL, or Power BI – architecture, operation, and capabilities
Coach NASA customer data analysts & scientists, define best practices, and promote knowledge sharing to grow the team’s ability
Configure the Alteryx, Tableau, or Power BI software to connect to data sources, visualize data and tailor the user interface to best represent the results for each unique type of NASA user.
Your background:
4 years minimum experience in using/developing Tableau visualization, Power BI, or Alteryx products
Deep understanding of the Microsoft Windows operating system and high proficiency in Microsoft Office 365 tools
Experience working in technical areas including data science, structured data, analytics, SQL
Bachelor’s degree in STEM field
Excellent problem-solving skills
Bonus points for:
Having or pursuing Master’s degree in a STEM field
Experience in designing software UI and UX focused on user needs and business use cases
Experience with search and search platforms
Experience with Machine Learning and/or Big Data
Experience with unstructured data (NLP, text processing)
Experience or formal training in databases and structured data
Experience training/coaching others in the use of analytics tools