The Senior Data Scientist proposes, initiates, and manages multiple ML projects to address problems linked to company OKRs and product enhancements. The role participates in strategic decision circles and contributes to guiding business at a high level, allocating resources, deciding on projects, and cascading down to leads.
Requirements
- Master’s degree in Statistics, Mathematics, Quantitative Analysis, Computer Science, Software Engineering, Information Technology, or other Numerical Disciplines
- 10+ years of relevant experience in data analysis, machine learning, deep learning model development, and statistical modeling
- Deep experience in querying databases and coding (e.g. Python, R, Spark, Scala, SQL, Java, C, C++)
- Experience in application of machine learning and AI to questions related to the financial markets
- Strategic decision-taking and thinking, able to deal with very senior management, translate tech to business and vice versa
- Deep experience in Agile Software Development and has mastery of Agile principles, practices, and Scrum methodologies
- Management experience, leading projects in the past, building and mentoring scientists, leading them towards success