Senior Data Scientist

Job Description

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.