Data Scientist Job in Mississauga for Purolator |

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Data Scientist

April 7 2022
Categories Data analyst, BI, Mining, AI, Data Business Analyst, Information Technology
Mississauga, ON

We are looking for a seasoned Data Scientist who is enthusiastically driven to generate actionable insights and create new growth opportunities. The focus of this role is on developing and implementing advanced analytics/ predictive solutions based on solid statistical foundation. You will lead analytics initiatives including advanced statistical modelling and developing data-driven solutions across several lines of business and domains. This is a unique opportunity to apply your analytics skills in a uniquely Canadian organization rich in history and data.

Please note this role is not: Data Science Architect, Database Administrator/ Developer, Data Infrastructure/ Design.

We thank all candidates for your interest. However, only those applicants who meet role requirements will be contacted.


M.Sc. or B.Sc. in a quantitative field (e.g., Statistics, Applied Mathematics, Computer Science, or other related discipline).

Should have 2+ years of professional experience in the applicable field.

Significant experience solving problems with the required use of advanced statistical modelling techniques from development through implementation. Must be able to demonstrate strong statistical knowledge of underlying theory, statistical foundation/ understanding and professional application.

Proven programming skills in one or more statistical programming languages such as Python (preferred), R, etc. and demonstrated skills in massive parallel processing, e.g., Spark/ Apache Hadoop (nice to have).

Experience with Machine Learning and predictive modelling (e.g., Gradient Boosting, Random Forest, Decision Trees, Regression), time series (ARIMA/ ARMA/ SARIMA), NLP, clustering/ segmentation, test/ control significance testing, and geospatial analytics (nice to have).

Experience with data visualization tools including Power BI to summarize modelling results.

Proven professional experience working with large scale and complex datasets including data retrieval, data cleaning, data manipulation and data modelling.

Excellent communication skills and ability to describe and present complex technical/ statistical concepts in a clear and concise language across an audience with varying levels of understanding.

Excellent presentation skills to both technical and non-technical people.

Ability to lead teams and create an environment of continuous learning and open communication.

Ability to structure and lead a project from idea to experimentation to prototype to delivery to the customer (internal/ external).

A track record of distilling complex and ambiguous problems into actionable business recommendations based on sound data analysis and insights.


Self-starter that is focused and driven with amazing follow-through.

Enthusiastically tackling problems with curiosity and a love of sharing ideas and insight.

Ability to synthesize information, evoke good conversation and consider problems from new perspectives.

Ability to provide clear recommendations in the face of challenges or limitations.

Driven to deliver quality solutions and models that are accurate, valid and are supported with reliable data.

Ability to drive value-add by positioning modelling results and conclusions with strong alignment to real-life business application.

Ability to manage time effectively, prioritize tasks, and take ownership for your work.