Description
We work to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart and accessible. The Lead Data Scientist is responsible for developing, deploying, and monitoring Data Science solutions that involve Machine Learning, Deep Learning, and other AI techniques.
Responsibilities:
- 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
- Perform hands-on data extraction, data analysis, data cleaning, preparation, modeling, and evaluation
- Deploy, document, maintain and monitor the developed solutions
- Present data science results to a variety of audiences
- Protect the developed algorithms and solutions by patenting the technology and consider publishing at academic and industrial research conferences
- Build prototypes and proof-of-concepts and conduct tool evaluations
- Disseminate knowledge by presenting work externally at conferences and universities
- Collaborate with internal teams and across other Mastercard teams
Requirements:
- Substantial experience in developing and deploying Machine learning and Deep learning solutions end-to-end (data exploration to deployment)
- Deep understanding of different Machine learning, Deep learning, and AI algorithms and the math behind it
- Strong scientific communication skills
- Experience handling data responsibly by maintaining data governance, privacy, and ring-fencing standards
- Master's in computer science or quantitative field is a must and PhD is good to have
Skills:
- Python
- R Programming
- ML Frameworks (Scikit learn)
- Deep Learning Framework (TensorFlow, PyTorch)
- SQL
- SAP HANA
- Hadoop
- Snowflake databases
- Linux
- Azure environment
- Azure Machine Learning
- Databricks