Senior Data Scientist

Role & responsibilities

• Lead the development and implementation of advanced analytical models and algorithms to support decision-making processes.
• Utilize statistical analysis and machine learning techniques to extract insights from large and complex datasets.
• Collaborate with business stakeholders to understand their needs and requirements, and translate them into actionable analytical solutions.
• Design and conduct experiments to test hypotheses and evaluate the effectiveness of various strategies and interventions.
• Mentor and coach junior members of the team, providing guidance on technical skills and professional development.
• Communicate findings and recommendations to stakeholders through data visualization, reports, and presentations.
• Stay current with the latest advancements in data science, machine learning, and technology trends, and evaluate their potential impact on the business.

Preferred candidate profile

• 5-8 years of experience in data analysis, statistical modelling, and machine learning, with a proven track record of delivering actionable insights and solutions.
• Proficiency in programming languages such as Python, R, or SQL, and experience with statistical analysis tools and libraries.
• Strong understanding of quantitative methods, including regression analysis, time series analysis, optimization, and experimental design.
• Experience working with cloud technologies (especially Azure) is preferred.
• Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams and influence decision-making processes.