Data Scientist

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] Strong scientific communication skills. 14. 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.

Develop, deploy, and monitor end-to-end Data Science solutions using ML, DL, and GenAI to solve complex business challenges. Transform business problems into scientific research and present results to diverse stakeholders and academic conferences.

Requires 7-10 years of experience in ML/DL deployment, or 5+ years with a PhD in a relevant field. Must have deep expertise in GenAI, LLMs, and the mathematical foundations of AI algorithms.

• Analyse de donnéesSouhaitée
• Apprentissage automatiqueSouhaitée

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Machine Learning
• Deep Learning
• Generative AI
• Large Language Models
• RAG
• Vector Databases
• Agentic Frameworks
• Data Analysis
• Data Cleaning
• Model Deployment
• Scientific Communication
• Data Governance
• Data Privacy
• Prototyping
• Proof of Concept
• Data Extraction

• Data & Analytics
• Technology
• Science & Research
• Software
• Consulting

Formation minimale

Maîtrise

Expérience minimale

5+ ans

Postuler avant le

5 sept. 2026

Langue de l’offre

anglais

Heures de travail

40 heures par semaine

Niveau d’expérience

Mid-Senior level

Mode de candidature

La candidature directe est offerte