Lead Data Scientist
About The Position
We work to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team – one that makes better decisions, drives innovation and delivers better business results. The Lead Data Scientist is responsible for developing, deploying, and monitoring Data Science solutions that involve Machine Learning, Deep Learning, and other AI techniques.
Requirements
- 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
- 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
Nice To Haves
- In addition to the above, identify new challenges that can be solved using the data.
- Generate new innovative ideas that can potentially add value to the organization.
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 (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
Benefits
- Competitive pay based on location, experience and other qualifications for the role
- May be eligible to participate in a discretionary annual incentive program
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What This Job Offers
Job Type
Full-time
Career Level
Senior
