Job Role : Data Scientist

Location : Toronto, ON, Canada

Long Term Contract

Job Summary

Cards and payments

1.At least 7 to 10 years of proven experience in developing and deploying Machine learning and Deep learning solutions end-to-end (data exploration to deployment). Will consider even 5+ years if candidate has a Ph.D. from relevant areas.

2.Deep understanding of different Machine learning, Deep learning, GenAI and AI algorithms and the math behind it.

3.Experience in building GenAI based solutions using LLM, SML, RAG, VectorDBs, and agentic frameworks.

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

Transform complex business challenges into scientific research problems

Develop data-driven solutions to address business challenges using appropriate techniques (AI, ML, DL, GenAI etc.)

Hands on data extraction, data analysis, data cleaning, preparation, modeling, and evaluation.

Conduct data analysis to support business cases, prove hypotheses, new ideas and proof of concepts.





Build and execute various data science projects for product and business use cases across the organization.

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.

Lead projects independently end-to-end.

Knowledge dissemination by presenting work externally at conferences and Universities.

Collaborate with internal teams and across other Mastercard teams]

Robust scientific communication skills.

1. Handling data responsibly by maintaining data governance, privacy, and other standards

15.Curious, Critical thinker, good hacking skills and scientific reasoning. 16.Not afraid to ask questions and propose new ideas

17.Proactive in presenting contributions to diverse audiences and stakeholders.

📌 Data Scientist (Toronto)
🏢 Ampstek
📍 Toronto