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Data Scientist

Salary undisclosed

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Role: Data Scientist

W2 Role

HYBRID

Vienna, VA

Job Description:


  • Build and enhance Non-SQL/SQL based data analytics processes through all phases of development, implementation, and upkeep.
    Unlock insights by analyzing large scales 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 computer science, mathematics, physics, statistics, or related fields.
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 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 principles utilizing Azure DevOps or similar systems.
Experience working with Cybersecurity Frameworks and related data.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Report this job

Role: Data Scientist

W2 Role

HYBRID

Vienna, VA

Job Description:


  • Build and enhance Non-SQL/SQL based data analytics processes through all phases of development, implementation, and upkeep.
    Unlock insights by analyzing large scales 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 computer science, mathematics, physics, statistics, or related fields.
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 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 principles utilizing Azure DevOps or similar systems.
Experience working with Cybersecurity Frameworks and related data.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Report this job