Senior Data Scientist (Supply Chain)

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

Overview

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.

Responsibilities

• Collaborate with business partners to develop innovative solutions to meet objectives utilizing cutting edge techniques and tools.
• Design and implement graph-based models to analyze, optimize, and improve supply chain networks.
• Apply advanced data science techniques to identify patterns, inefficiencies, and bottlenecks across logistics and operations.
• Build scalable data pipelines and analytical models using PySpark for large-scale supply chain datasets.
• Develop predictive and prescriptive models to support decision-making in areas such as demand forecasting, routing, and inventory management.
• Collaborate with cross-functional teams including operations, product, and engineering to translate business challenges into analytical solutions.
• Communicate insights and recommendations clearly to stakeholders through data storytelling, visualizations, and presentations.
• Share your passion for Data Science with the broader enterprise community; identify and develop long-term processes, frameworks, tools, methods and standards.
• Collaborate, coach, and learn with a growing team of experienced Data Scientists.
• Stay connected with external sources of ideas through conferences and community engagements

Qualifications

• 8+ years of professional experience in Data Science, Analytics, or related roles.
• Proven expertise in Graph Theory applications; hands-on experience with the NetworkX package strongly preferred.
• Strong programming skills in Python with demonstrated use of scientific computing libraries (NumPy, Pandas, SciPy, scikit-learn, etc.).
• Experience with PySpark for large-scale data processing and analytics.
• Practical exposure to supply chain domain problems such as logistics, distribution networks, or demand planning.
• Strong analytical, problem-solving, and communication skills.
• Experience developing models from inception to deployment

This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.