Data Scientist

Full time Opportunity as Data Scientist with industry leader in Logistics

Data Scientist

Client: Industry leader in logistics
Role: Data Scientist
Duration: Full time
Salary: Negotiable
Location: Mississauga, ON

Our client, a industry leader in logistics is looking to hire a data scientist on full time basis, to join their team.

Your New Role:

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.

KEY RESPONSIBILITIES & What You’ll Need to Succeed:

• 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.

WHAT WE EXPECT?

• 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.

What You’ll get in Return

The client is offering a full time role with competitive salary and Competitive health and benefit plan. The opportunity to join a continuously growing organization with focus on Diversity and Inclusion and an opportunity to work with an industry leader in manufacturing.

Interested?

If you’re available and interested in learning more about this role, please reply to this email as soon as you can attaching your updated resume and yearly rate requirement. #1099409

Summary

Job Type
Permanent
Industry
Supply Chain & Logistics
Location
Mississauga
Specialism
Logistics
Pay
Negotiable
Ref:
1099409

Talk to a consultant

Talk to Jamie Dunne, the specialist consultant managing this position, located in Toronto (FR)
8 King Street East, 20th Floor

Telephone: 6476701117157

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