Data Scientist – AI/ML | Canada req | Hybrid role.

Xlysi LLC.; Toronto; On-site; CAD 110,000 - 170,000; Full time

Job summary

Xlysi LLC. seeks a hands-on Data Scientist to develop and deploy advanced AI/ML models from data through modeling, development, deployment and production. You will work with cloud platforms, Databricks, Spark, and Snowflake on complex datasets, collaborating with business and technical stakeholders in an agile environment.

The role requires strong Python development, production software practices, and the ability to translate DS insights into clear business outcomes with compelling visuals.

Qualifications

• Hands-on AI/ML modeling with production deployment
• Experience taking AI/ML models from data to deployment to production
• Strong Python development with production-ready code
• Experience with CI/CD, orchestration, and model deployment
• Hands-on cloud experience (AWS/GCP/Azure) and big data tooling
• Strong SQL and Snowflake experience; data platform familiarity
• Ability to translate complex DS concepts into business language and visuals
• Experience with enterprise APIs and software development practices
• Experience with data visualization tools (Tableau/Power BI/Plotly)
• Proficiency with version control systems (Git)

Responsibilities

• Develop and deploy advanced ML solutions in production
• Work with complex datasets and translate data into actionable insights
• Collaborate with business and technical stakeholders in an agile environment
• Build reusable data science tooling and production-quality code
• Contribute to data strategy and AI product development across teams

Skills

AI/ML Modeling

Python

ML Engineering / MLOps

Cloud & Big Data

Data Platforms

AI Product Development

Business Communication

APIs & Software Development

Visualization

Version Control

Education

PhD in Computer Science / Mathematics / Statistics / Physics or related

Master's degree in a quantitative/technical discipline

Tools

Databricks

Apache Spark

Snowflake

Tableau

Power BI

Plotly

Git (or equivalent)

Job description

• 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 strong 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.