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Data Scientist – AIML | Canada req | Hybrid role.

Xlysi


Job Location:

Toronto - Canada

Monthly Salary: Not provided by the employer
Posted: 6 October 2026 (3 days ago)
Application Deadline: 3 January 2027
Vacancies: 1 Vacancy

Job Summary

Must Have:
Python Advanced AI/ML Cloud (AWS/GCP/Azure) SQL/Snowflake ML Deployment/MLOps Production Software Development Business Communication

The candidate should be a hands-on Data Scientist not purely an academic/research profile with demonstrated experience taking AI/ML models from data modeling development deployment production.



Role Overview
We are seeking a hands-onData Scientistwith strong expertise inAI/ML modeling Python cloud platforms and production-ready AI solutions. The candidate will develop and deploy advanced machine learning solutions work with complex datasets and collaborate with business and technical stakeholders in an agile environment.
Top Skills Required
  • AI/ML Modeling:Strong hands-on experience with supervised/unsupervised learning deep learning time-series forecasting Bayesian statistics optimization and other advanced ML techniques.
  • Python:Expert-level Python development with experience building reusable functions classes libraries and production-quality code.
  • ML Engineering / MLOps:Experience taking models from development to production includingCI/CD orchestration deployment testing and version control.
  • Cloud & Big Data:Hands-on experience withAWS GCP or Azureand technologies such asDatabricks and Apache Spark.
  • Data Platforms:StrongSQLskills with experience inSnowflakeand relational/NoSQL databases.
  • AI Product Development:Experience developing AI/ML solutions within anagile product-focused environment.
  • Business Communication:Ability to translate complex data science concepts into clear business language and communicate insights throughdata visualization and storytelling.
  • APIs & Software Development:Experience working with enterprise APIs and production software development practices.
  • Visualization:Experience withTableau Power BI or Plotly.
  • Version Control:Strong experience withGitor equivalent tools.
Education & Experience
  • PhDin Computer Science Mathematics Statistics Physics or related quantitative discipline with2 yearsanalytical/data science experience;OR
  • Masters degreein a relevant quantitative/technical discipline with4 yearsanalytical/data science experience.
Nice to Have
  • Life Sciences / Pharmaceutical / Healthcare experience.
  • Experience working in a large complex global organization.
  • R or Scalaexperience.
  • Experience withDataRobot Dataiku or Alteryx.
  • High-Performance Computing (HPC) experience.

Required Experience:

IC


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