Senior Applied Scientist, Inventory & Distribution Optimization

Amazon; Toronto; On-site; CAD 195,000 - 328,000; Full time

Job summary

A global technology firm in Toronto seeks a Sr. Applied Scientist to optimize grocery supply chain processes. This role involves designing advanced mathematical models and collaborating with engineering teams to implement solutions. Candidates should have a PhD in a relevant field and experience in machine learning and programming. The position offers an annual salary range of CAD 195,900.00 - 327,200.00 and comprehensive benefits, providing an engaging work environment focused on innovation and customer satisfaction.

Benefits

Health insurance

Registered Retirement Savings Plan (RRSP)

Paid time off

Qualifications

• PhD in operations research, applied mathematics, theoretical computer science, or equivalent.
• 3+ years of building machine learning models or developing algorithms.
• 3+ years of industry or academic research experience.
• Knowledge of programming languages such as C/C++, Python, Java or Perl.

Responsibilities

• Design and develop advanced mathematical optimization models.
• Work with software engineering teams to write production-quality code.
• Create and maintain technical documentation.
• Engage with customers to understand and solve their problems.

Skills

Mathematical optimization

Machine learning

Java

Python

C/C++

Education

PhD in operations research or applied mathematics

Tools

XPRESS

Gurobi

CPLEX

Job description

A global technology firm in Toronto seeks a Sr. Applied Scientist to optimize grocery supply chain processes. This role involves designing advanced mathematical models and collaborating with engineering teams to implement solutions. Candidates should have a PhD in a relevant field and experience in machine learning and programming. The position offers an annual salary range of CAD 195,900.00 - 327,200.00 and comprehensive benefits, providing an engaging work environment focused on innovation and customer satisfaction.