Data Scientist

Key Responsibilities:

Data Collection & Management

• Collect, measure, organize, and analyze large-scale datasets using Python, PySpark/Scala, and SQL
• Design, develop, and maintain databases and data models
• Conduct data mining, segmentation, and feature engineering to extract actionable insights

AI & Machine Learning Development

• Develop and implement AI/ML models utilizing OpenAI technologies, generative AI, and prompt engineering
• Create and deploy accurate algorithms to solve complex data problems
• Optimize data processes and algorithms for performance, scalability, and reliability

Statistical Analysis & Visualization

• Apply statistical methods and use statistical packages (e.g., Excel) to analyze datasets
• Utilize data visualization tools like Power BI to present findings effectively

Collaboration & Integration

• Collaborate with cross-functional teams to integrate AI and ML solutions into business processes
• Stay updated with the latest advancements in AI, ML, and data science to continuously enhance the technology stack

Qualifications & Experience:

• Proven experience as a Data Scientist or similar role, with hands-on experience in Python, PySpark/Scala, and SQL
• Experience with AI/ML frameworks, generative AI, and OpenAI technologies
• Strong knowledge of data modeling, databases, and data visualization tools like Power BI
• Experience in data mining, statistical analysis, and algorithm development
• Excellent communication and collaboration skills