Data Science Expert

Job Description

We are looking for a Data Science Expert to support the development of advanced data and analytics solutions within a highly regulated manufacturing environment. The successful candidate will work closely with cross-functional teams to transform complex process and operational data into actionable insights, enabling data-driven decision-making and continuous improvement initiatives.

• Location:
  
  Toronto, ON
• Work Mode:
  Hybrid
• Seniority:
  Middle (4–6 years of experience)
• Schedule:
  
  Flexibility to work with European time zones, including availability for an early shift (approximately 6:00 AM – 2:00 PM)

• Design, develop, and maintain ready-to-use data and analytics systems.
• Extract, organize, contextualize, and transform data from multiple source systems into business-ready formats.
• Collaborate with stakeholders across Manufacturing Science & Technology (MSAT), Automation, Digital, Quality, and other functions to gather analytics requirements.
• Map process parameters and manufacturing data to source systems such as MES, PI Historian, LIMS, iShift, and cloud-based data platforms.
• Develop data contextualization pipelines within cloud-based AI and analytics environments.
• Build and maintain data visualization solutions and dashboards to support operational and business needs.
• Develop and support machine learning models and advanced analytics solutions.
• Ensure data integrity, consistency, and accessibility across multiple platforms.
• Support continuous improvement initiatives through data-driven insights and process monitoring.

• 4–6 years of experience in Data Science, Data Analytics, Data Engineering, or related fields.
• Strong experience working with manufacturing, process, or operational data.
• Hands‑on experience with:
• Python
• SQL (MS SQL Server)
• Power BI
• Snowflake
• Git Hub
• Experience working with MES (Manufacturing Execution Systems), LIMS (Laboratory Information Management Systems), and process data platforms.
• Knowledge of data modeling, data pipelines, data contextualization, and analytics solution development.
• Strong communication skills and ability to collaborate with cross‑functional stakeholders.
• Ability to work in a fast‑paced environment and manage multiple priorities.

• Experience with PI Historian and PI Vision.
• Experience with JMP, SIMCA, and SIMCA‑online.
• Exposure to Machine Learning and AI platforms.
• Experience with in Life Sciences, Pharmaceutical, Biotechnology, or other regulated industries.
• Understanding of manufacturing processes and process performance monitoring.

50K-100K The final compensation offered will be determined based on the candidate’s level of experience, skills, and qualifications
, in compliance with applicable pay transparency requirements.

No Canadian work experience is required for this position. Candidates are encouraged to apply regardless of previous Canadian experience.

No Artificial Intelligence (AI) tools are used in the screening, assessment, or selection of candidates for this position. All stages of the recruitment process are conducted by human recruiters and hiring managers.

This position is a Job creation, created to support ongoing project needs.

Candidates will receive feedback on their application within a maximum of 45 days from the date of application or from their most recent interview stage.

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