Lead Data Scientist-1

Description:

Responsible for developing, deploying, and monitoring Data Science solutions that involve Machine Learning, Deep Learning, and other AI techniques.

Responsibilities
1. Transform business challenges into scientific research problems
2. Develop data-driven solutions to address business challenges using appropriate techniques (AI, ML, DL, etc.)
3. Build and execute various data science projects for product and business use cases across the Ethoca organization (both product and technology).
4. Hands on data extraction, data analysis, data cleaning, preparation, modeling, and evaluation
5. Deploy, document, maintain and monitor the developed solutions
6. Presenting data science results to a variety of audience
7. Protect the developed algorithms and solutions by patenting the technology and consider publishing at academic and industrial research conference.
8. Build prototypes and proof-of-concepts and conduct tool evaluations.
9. Knowledge dissemination by presenting work externally at conferences and Universities.
10. Collaborate with internal teams and across other Mastercard teams

All about You
1. At least 5 to 7 years of proven 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.
2. Deep understanding of different Machine learning, Deep learning, and AI algorithms and the math behind it.
3. Strong scientific communication skills.
4. Handling data responsibly by maintaining data governance, privacy, and ring-fencing standards
5. Curious, Critical thinker, good hacking skills and scientific reasoning.
6. Not afraid to ask questions and propose new ideas
7. Master’s in computer science or quantitative field is a must and PhD is good to have.