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Data Scientist-12199-Remote

Data Scientist-12199-Remote

ShuvelUnited States, United States, United States
30+ days ago
Job type
  • Full-time
  • Remote
Job description

Responsibility :

  • 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.

Qualifications :

  • 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.

    • Desired :

  • 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
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