Data Scientist

Job Description

Responsibility:

Build and enhance Non-SQL/SQL based data analytics processes through allphases of development, implementation, and upkeep.

Unlock insights by analyzing large scale of complex numerical and textualdata and identifying trends.

Create and maintain reporting dashboards to deliver data insights to a widerange of consumers.

Partner with a cross-functional team of data engineers, machine learningengineers, and data visualizers to deliver projects.

Develop data science solutions utilizing both on-premises and Microsoft AzureCloud Computing Infrastructures.

Perform other duties as assigned.

Qualifications:

Bachelor\'s degree in Computer Science, Mathematics, Statistics, or a relatedfield (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 modelingconcepts.

Experience with ETL processes and data integration techniques.

Proven ability to develop effective data visualizations using Power BI and/orPlotly Enterprise.

Advanced verbal, written, interpersonal, and presentation skills tocommunicate clearly and concisely technical and non-technical information toall levels of management.

Desired:

Advanced degree in in computer science, mathematics, physics, statistics, orrelated field.

Advanced skills with Python, Jupyter Notebook/Jupyter Lab, Visual Studio Codeand other languages/frameworks appropriate for large data analysis.

Experience with supervised/unsupervised machine learning model development inareas of clustering, classification and/or regression.

Experience with API end point connection and configuration for complex datapipelines.

Experience establishing data governance principals as part of the dataingestion process.

Experience working with Agile principals utilizing Azure DevOps or similarsystems.

Experience working with Cybersecurity Frameworks and related data.

Full-time