Data Scientist
Data Scientist
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Not Disclosed
Salary Not Disclosed
1 Vacancy
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 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:
Bachelors 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 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 with Cybersecurity Frameworks and related data.
Employment Type
Full Time
