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