Data Scientist

PLEASE READ THOROUGHLY TO AVOID REJECTION Open to both C2C and W2 candidates. Experience Required: Minimum 5 years of experience in Data Analysis, SQL/Python Programming, and Plotly Enterprise or Power BI development. Role Overview The Data Scientist will develop and enhance data analytics processes, unlock insights from complex datasets, and deliver data-driven solutions in collaboration with a cross-functional team. The role involves utilizing both on-premises and Microsoft Azure Cloud Computing Infrastructures to build scalable solutions. Key Responsibilities Build and enhance Non-SQL/SQL-based data analytics processes through all project phases. Analyze large-scale, complex numerical and textual data to identify trends. Create and maintain reporting dashboards to deliver insights. Collaborate with data engineers, machine learning engineers, and data visualizers. Develop data science solutions on Microsoft Azure Cloud and on-premises infrastructures. Perform other duties as assigned. Qualifications Mandatory: 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. Plotly Enterprise or Power BI development. Proficiency in database design, data mining, and data modeling. Experience with ETL processes and data integration techniques. Advanced skills in creating data visualizations. Strong verbal, written, interpersonal, and presentation skills. Preferred: Advanced degree in Computer Science, Mathematics, Physics, Statistics, or a related field. Expertise in Python, Jupyter Notebook/Lab, and Visual Studio Code. Experience in supervised/unsupervised machine learning models. Familiarity with API endpoint connection for complex data pipelines. Knowledge of data governance principles. Experience with Agile principles and tools like Azure DevOps. Understanding of Cybersecurity Frameworks and related data.

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