Lead Data Scientist
Core
Develop, deploy, and monitor end-to-end Machine Learning and Deep Learning solutions to transform business challenges into scientific research problems for Mastercard's Ethoca organization.
Role type
Lead Data Scientist (ML/DL focus)
Builds
Production ML models, prototypes, and proof-of-concepts for product and business use cases
Domain
Fintech / Digital Payments / AI
Deliverable
production ML models
Required skills
End-to-end ML/DL development, Data exploration and cleaning, Scientific communication, Data governance and privacy, Algorithmic reasoning, Tool evaluation
Preferred skills
Patenting technology, Academic publishing, Identifying new data challenges, Generating innovative ideas
Technologies
Python, R, Scikit-learn, TensorFlow, PyTorch, SQL, SAP HANA, Hadoop, Snowflake, Linux, Azure, Azure Machine Learning, Databricks
Responsibilities
Transform business challenges into scientific research problems, Develop data-driven solutions using AI/ML/DL, Build and execute data science projects, Perform hands-on data extraction, analysis, cleaning, preparation, modeling, and evaluation, Deploy and monitor developed solutions, Present results to diverse audiences, Protect algorithms via patenting and publishing, Build prototypes and conduct tool evaluations, Collaborate with internal teams
Seniority
Senior, hands-on IC with strategic output
