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Data Scientist – Remote

Roles & Responsibilities

  • Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field (or equivalent work experience).
  • 5+ years of experience in Data Analysis, SQL/Python programming, and Plotly Enterprise or Power BI development.
  • Experience with cloud computing infrastructure and data governance principles, as well as Agile environments using Azure DevOps.
  • Advanced skills with Python, Jupyter Notebook/Jupyter Lab, Visual Studio Code, and experience with supervised/unsupervised machine learning model development.

Requirements:

  • 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.
  • Develop data science solutions utilizing both on-premises and Microsoft Azure Cloud Computing Infrastructures.

Job description


Data Scientist – Remote
Contract
  • 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.
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.
  • Advanced degree 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 endpoint connection and configuration for complex data pipelines.
  • Experience establishing data governance principles as part of the data ingestion process.
  • Experience working with Agile principals utilizing Azure DevOps or similar systems.
  • Experience working with Cybersecurity Frameworks and related data.

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