Grow your career with Tiger Analytics as a Senior Data Scientist focusing on CPG and retail analytics. This role is centered on using advanced data analytics to enhance pricing and optimize supply chain operations. We are searching for an experienced data scientist with a minimum of ten years in operations research or related fields.

Your role will include leveraging statistical techniques to analyze data and develop creative optimization algorithms. Collaborate with talented team members and help shape data-driven solutions across business sectors. Key Responsibilities:

- Refactor Python-based optimization algorithms with OOP
- Analyze pricing strategies through large datasets
- Develop and implement predictive analytics models




- Collaborate with teams to address business requirements
- Learn and innovate around supply chain and data science trends Requirements:
- Over 10 years of data science experience in supply chain
- MS or PhD in relevant technical fields
- Familiarity with optimization software like Gurobi or CPLEX
- Strong programming skills in Python, Pyspark, and SQL
- Ability to communicate complex concepts to stakeholders Use your skills to deliver impactful and data-driven solutions at Tiger Analytics, a leader in AI analytics.

📌 Senior Data Scientist for CPG & Retail Analytics (Toronto)
🏢 Tiger Analytics
📍 Toronto