Develops and executes roadmap for the team to innovate in multiple business verticals by transforming how to solve a problem using Data Science and Machine Learning.
Lead the department to develop new insights advanced modeling techniques, and capabilities in Data Science, Machine Learning, and AI.
Drive the team to create a proof of concepts & blueprints to enable data-based insights and science and shape the company’s strategy.
Mentoring a team of Data Scientists and Engineers to help them perform and grow in Tyfone.
Identification and sourcing of relevant internal and external data sources for machine learning, deep learning, other cognitive computing methods, and artificial intelligence.
Strategically coordinates, prioritize, and efficiently allocates the team resources to critical initiatives.
Exploratory analytics to identify trends, patterns, or process drivers.
Collaborates with a global team of internal stakeholders, external partners, institutions, and cross-functional teams to solve critical business problems and drive operational efficiencies and innovative approaches.
Propose data-driven product features and strategies to solve business challenges
Collaborate with engineering and product development teams
Proven experience as a Data Scientist or Data Analyst
Experience in building and leading high performing science and analytics teams.
Proficiency in handling big data, data mining, mathematics, and statistical analysis
Advanced pattern recognition and modeling experience
Working knowledge of supervised and unsupervised machine learning techniques such as clustering, regression, classification, decision tree learning, and artificial neural networks
Strong math skills (e.g. statistics, algebra)
Excellent communication and presentation skills
Masters in a quantitative field, Ph.D. highly preferred in a related discipline (e.g. Applied Mathematics, Computer Science)
10+ years of proven experience in Data Science, with at least two years in the banking domain