Toronto, CA.

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.

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‑on Data Scientist with solid expertise in AI/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

Master's 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.

#J-18808-Ljbffr

📌 Data Scientist – AI/ML | Canada req | Hybrid role. (Ontario)
🏢 Xlysi
📍 Ontario