Title: Data Scientist

Primary Skill: Python

Secondary Skill: data modelling

Seniority: Senior

Years: 5+

Emp Type: Fulltime, hybrid

Location: Missisauga-GTA

Client position: 538

Description:

About the Role:

We are seeking an experienced Data Scientist to join our team focused on sustainable materials innovation. The role involves analyzing and modeling data related to sustainable polymers, particularly in plastics production and material science. You will work with large datasets, collaborate across teams, and apply advanced statistical and machine learning techniques to drive insights and innovations in material science projects.

Key Responsibilities:

• Analyze datasets related to plastics production to identify trends and insights.
• Develop statistical models and machine learning algorithms to enhance production efficiency.
• Simulate and predict plastics production equipment behaviour.
• Collaborate with scientists and engineers to support research and development.
• Create and optimize predictive models for material performance.
• Manage and integrate data from various sources for analysis.
• Work closely with cross-functional teams to align data analysis with project goals.
• Stay updated with advancements in data science and explore new analytical techniques.
• Lead data science projects from start to finish, ensuring timely delivery.

Qualifications:

• Bachelor’s or Master’s degree in Data Science, Material Science, Engineering, or a related field.
• Experience in data science roles within the plastics production industry.
• Strong background in material science R&D and modeling.
• Proficiency in Python or R and machine learning libraries (e.g., scikit-learn, TensorFlow).
• Experience with data management tools and databases (e.g., SQL, NoSQL).
• Strong problem-solving skills and ability to present findings to both technical and non-technical audiences.
• Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
• Fluent in English.

Preferred:

• Experience in advanced plastics applications or sustainable plastics.
• Familiarity with cloud-based data platforms (e.g., AWS, GCP) and big data technologies.

Benefits:

• Competitive compensation package.
• Global exposure and opportunities for professional growth.
• Collaborative and diverse team environment.
• Opportunity to work on innovative projects addressing global challenges.

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