Senior Data Scientist - Graph and Supply Chain Innovation

Tiger Analytics; Canada; On-site; CAD 100,000 - 130,000; Full time

Job summary

A leading analytics firm in Canada is seeking an experienced Data Scientist to develop innovative solutions using advanced data science techniques. The role involves collaboration with business partners to optimize supply chain networks, applying expertise in Graph Theory, and working with tools like Python and PySpark. Ideal candidates have over 8 years of experience and enjoy career development opportunities in a dynamic environment.

Qualifications

• 8+ years of professional experience in Data Science, Analytics, or related roles.
• Hands-on experience with the NetworkX package strongly preferred.
• Experience with PySpark for large-scale data processing.

Responsibilities

• Collaborate with business partners to develop innovative solutions.
• Design and implement graph-based models for supply chain networks.
• Apply advanced data science techniques to identify patterns.

Skills

Graph Theory applications

Python programming

Problem-solving

Analytical skills

Tools

NetworkX package

PySpark

NumPy

Pandas

SciPy

scikit-learn

Job description

A leading analytics firm in Canada is seeking an experienced Data Scientist to develop innovative solutions using advanced data science techniques. The role involves collaboration with business partners to optimize supply chain networks, applying expertise in Graph Theory, and working with tools like Python and PySpark. Ideal candidates have over 8 years of experience and enjoy career development opportunities in a dynamic environment.