Data Science Expert (Manufacturing)

TL;DR

Data Science Expert (Manufacturing): Building and optimizing advanced data and analytics solutions for regulated manufacturing environments with an accent on transforming complex operational data into actionable insights. Focus on developing data contextualization pipelines, ML models, and visualization dashboards using Snowflake, Python, and Power BI.

Location: Hybrid in Toronto, ON. Must be available for an early shift (approximately 6:00 AM – 2:00 PM) to align with European time zones.

Salary: 50,000–90,000 CAD

Company

An independent technology consulting firm with a global presence in over 60 countries, focusing on Information Systems, Digital, Telecom, Life Sciences, and Engineering.

What you will do

• Design, develop, and maintain data and analytics systems for highly regulated manufacturing environments.
• Extract and transform data from source systems such as MES, PI Historian, LIMS, and cloud platforms.
• Develop data contextualization pipelines within cloud-based AI and analytics environments.
• Build and maintain Power BI dashboards to support operational and business needs.
• Develop and support machine learning models and advanced analytics solutions.
• Ensure data integrity and consistency across multiple platforms to support continuous improvement.

Requirements

• 4–6 years of experience in Data Science, Data Analytics, or Data Engineering.
• Strong experience working with manufacturing, process, or operational data.
• Hands-on proficiency with Python, SQL (MS SQL Server), Power BI, Snowflake, and GitHub.
• Experience with Manufacturing Execution Systems (MES) and Laboratory Information Management Systems (LIMS).
• Flexibility to work an early shift (6:00 AM – 2:00 PM) to accommodate European time zones.

Nice to have

• Experience with PI Historian, PI Vision, JMP, or SIMCA.
• Experience within Life Sciences, Pharmaceutical, or Biotechnology industries.
• Exposure to AI platforms and understanding of process performance monitoring.

Culture & Benefits

• Diverse international community with over 110 different nationalities.
• Strong internal growth trajectory, with 70% of leaders starting at entry level.
• Comprehensive training through an internal Academy with 250+ modules.
• Dynamic work environment featuring frequent internal events and team buildings.

Hiring process

• Initial brief virtual/phone screening call.
• Average of three interviews with line managers and team members.
• Potential technical assessment or case study depending on the role.