Data Scientist

October 17

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Description

• Build and enhance Non-SQL/SQL based data analytics processes through all phases of development, implementation, and upkeep. • Unlock insights by analyzing large scale of complex numerical and textual data and identifying trends. • Create and maintain reporting dashboards to deliver data insights to a wide range of consumers. • Partner with a cross-functional team of data engineers, machine learning engineers, and data visualizers to deliver projects. • Develop data science solutions utilizing both on-premises and Microsoft Azure Cloud Computing Infrastructures. • Perform other duties as assigned.

Requirements

• Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field (or equivalent work experience). • Experience with cloud computing infrastructure. • Minimum of 5 years of experience in Data Analysis, SQL/Python Programming, and Plotly Enterprise or Power BI development. • Strong understanding of database design, data mining, and data modeling concepts. • Experience with ETL processes and data integration techniques. • Proven ability to develop effective data visualizations using Power BI and/or Plotly Enterprise. • Advanced verbal, written, interpersonal, and presentation skills to communicate clearly and concisely technical and non-technical information to all levels of management. • Advanced degree in in computer science, mathematics, physics, statistics, or related field. • Advanced skills with Python, Jupyter Notebook/Jupyter Lab, Visual Studio Code and other languages/frameworks appropriate for large data analysis. • Experience with supervised/unsupervised machine learning model development in areas of clustering, classification and/or regression. • Experience with No-SQL databases such as MongoDB and Cassandra. • Experience with API end point connection and configuration for complex data pipelines. • Experience establishing data governance principals as part of the data ingestion process. • Experience working with Agile principals utilizing Azure DevOps or similar systems. • Experience working in the Financial Industry.