Proficiency in SQL and Python for data manipulation, analysis, and model development, with advanced knowledge of databases and data representation
High degree of knowledge in platforms, such as Google Cloud Platform (GCP), Microsoft Azure, or AWS
Strong analytical and problem-solving skills, with strategic thinking and business acumen to translate business challenges into data solutions and align them with industry trends and business objectives
Excellent communication and data visualization skills, with the ability to present complex data insights clearly and effectively to non-technical stakeholders
Curiosity, continuous learning, and adaptability, with a focus on staying updated with the latest advancements in data science and AI and applying new knowledge to projects
Exhibits ownership, candor, and conscientiousness in their work
Demonstrates diligence when analyzing data and building models to ensure accuracy and reliability
Leadership and mentoring skills, with strong people skills to foster collaboration and effective communication within cross-functional teams
Proficiency in advanced statistical analysis, including regression analysis, time series analysis, and hypothesis testing
Project management skills, with the ability to manage multiple projects and deliver results on time