Lead Data Scientist, Mastercard

• Substantial experience in developing and deploying Machine learning and Deep learning solutions end-to-end (data exploration to deployment). Will consider even 3+ years if candidate has a Ph.D. from relevant areas
• Deep understanding of different Machine learning, Deep learning, and AI algorithms and the math behind it
• Strong scientific communication skills
• Handling data responsibly by maintaining data governance, privacy, and ring-fencing standards
• Curious, Critical thinker, good hacking skills and scientific reasoning
• Not afraid to ask questions and propose new ideas
• Master’s in computer science or quantitative field is a must and PhD is good to have
• Python, R Programming
• ML Frameworks (Scikit learn) and Deep Learning Framework (TensorFlow, PyTorch)
• SQL, SAP HANA, Hadoop, Snowflake databases
• Linux, Azure environment, Azure Machine Learning, and Databricks

Desirable

• The Lead Data Scientist is responsible for developing, deploying, and monitoring Data Science solutions that involve Machine Learning, Deep Learning, and other AI techniques
• Transform business challenges into scientific research problems
• Develop data-driven solutions to address business challenges using appropriate techniques (AI, ML, DL, etc.)
• Build and execute various data science projects for product and business use cases across the Ethoca organization (both product and technology)
• Hands on data extraction, data analysis, data cleaning, preparation, modeling, and evaluation
• Deploy, document, maintain and monitor the developed solutions
• Presenting data science results to a variety of audience
• Protect the developed algorithms and solutions by patenting the technology and consider publishing at academic and industrial research conference
• Build prototypes and proof-of-concepts and conduct tool evaluations
• Knowledge dissemination by presenting work externally at conferences and Universities
• Collaborate with internal teams and across other Mastercard teams