Data Scientist

Role Overview: You will be responsible for leveraging your strong technical skills in Python, SQL, machine learning concepts, and data visualization tools to work on data projects. Your role will involve developing data pipelines, optimizing database queries, and ensuring data quality and validation. Additionally, you will be required to have expertise in AI and prompt engineering, including prompt design, application development, and AI model deployment. Key Responsibilities: - Strong proficiency in Python with Pandas, SQL expertise, and version control systems (Git) - Experience with data pipeline development, ETL processes, and data warehouse design - Knowledge of statistical methods, machine learning concepts, and data visualization tools - Familiarity with Azure cloud platform, API development, and integration - Ability to work with big data technologies such as Spark and Databricks - Understanding of real-time data processing and data lake architectures - Experience with prompt engineering, LLM application development, and AI model deployment - Compliance with data privacy, GDPR fundamentals, and handling sensitive personal data - Remote work capabilities with strong English communication skills and documentation habits - Collaboration and communication skills to work with development teams, explain technical concepts, and use project management tools Qualifications Required: - Bachelor's or Master's in Computer Science, Data Science, or related field - Minimum 2-3 years practical experience with data projects - Evidence of continuous learning through certifications and online courses - Previous healthcare data experience is a plus - Azure certifications are highly valued Additional Company Details: The company expects you to have a proactive communication style, problem-solving mindset, and the ability to work independently across time zones. You will be required to work full-time in person, with a day shift schedule starting on 01/03/2025. The benefits include Provident Fund.,