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Remote Python Data Analysis Jobs in Mississauga, ON

Traditional analytical techniques built on historical data were not built for this. Epistemix was ... Proficiency in Python and associated data science technologies * Experience with data visualization ...

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep ... Advanced SQL, Python and PySpark skills tailored for distributed processing on AWS. Benefits ...

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep ... Tune complex SQL queries and Python-based processing jobs to handle petabyte-scale environments ...

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... analysis, A/B testing, and a large number of other data-driven activities. * Develop and maintain ... Strong programming proficiency in Python, SQL, Spark, Scala, etc. * Experience with data modeling ...

Lead Data Scientist

Toronto, ON · Remote

$110K - $140K/yr

The role requires extensive experience in data analysis, agentic ai, statistical modeling, machine ... Strong programming skills in languages such as Python * Hands-on experience with ML frameworks ...

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The successful candidate will work with Private Markets Teams to build solid data and analytics ... Proficient programming skills in Python, R, Spark, or other open-source programming languages and ...

... data exchange and interactions. * Investigate and resolve complex technical issues by analysing ... remote work. * Growth Mindset: reap the benefits of a range of professional development ...

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Process Engineer, Pharmaceutical (Biologics)

Open roles at Optimyze1

Toronto, ON • On-site, Remote

Full-time

Posted 13 days ago

Be an early applicant


Job description

For Canada, you can be based in:

Toronto (GTA area), hybrid working

Montreal - remote

Vancouver -remote


We're hiring a Process Sales Engineer to work with industrial customers to support the deployment of AI-driven solutions in technical and operational environments.


This is a cross-functional role that combines engineering, customer collaboration, data analysis, and technical problem-solving. You'll work with a range of stakeholders to understand operational challenges, analyze process and production data, develop models and workflows, and help drive improvements using the company's platform.


The ideal candidate is comfortable engaging with technical teams, working with data and analytical tools, and translating technical findings into practical business outcomes.


Internally, you'll act as a technical subject matter expert and advocate for customer needs across manufacturing and process-related initiatives.


Externally, you'll support enterprise customers by partnering with engineering and operations teams to maximize value from the platform, whether by improving existing workflows or helping implement new solutions.


In collaboration with Sales, Product, and Engineering, you'll also contribute to identifying new use cases and shaping future platform capabilities.


What You'll Do


Customer Engagement & Project Delivery


  • Partner with customers to support deployment and adoption of platform solutions
  • Lead onboarding and implementation efforts across technical and operational environments
  • Build relationships with engineering, operations, and leadership stakeholders
  • Identify opportunities for operational improvement and data-driven insights
  • Translate customer challenges into actionable technical solutions and product feedback
  • Support projects from discovery through implementation and impact measurement


Technical Analysis & Problem Solving
  • Analyze operational and process datasets to identify trends, bottlenecks, and optimization opportunities
  • Develop analytical models, simulations, and workflows using Python and related tools
  • Work with industrial data systems and manufacturing datasets
  • Collaborate with product and engineering teams to improve platform functionality
  • Communicate technical findings to both technical and non-technical audiences
  • Support troubleshooting and continuous improvement initiatives in complex operational settings


What You'll Need
  • 5-7 years of experience in manufacturing, process engineering, or related industrial environments, with strong understanding of biologics manufacturing
  • Understanding of production, pilot, or laboratory-scale operations
  • Experience using Python or similar tools for analysis, modelling, or automation
  • Ability to work with operational and process data
  • Strong communication and stakeholder management skills
  • Problem-solving mindset with experience driving technical or operational improvements
  • Experience working in cross-functional technical teams
  • Experience in pharmaceutical manufacturing execution systems (MES)
  • Knowledge of enterprise historians such as OSIsoft PI, DeltaV, Wonderware, GE Proficy, or similar industrial systems is valuable