Operation Research Scientist - Demand Planning/Forecasting

Tiger Analytics Inc.; Toronto; On-site; CAD 120,000 - 180,000; Full time

Job summary

Tiger Analytics Inc. is seeking a Senior Data Scientist to advance pricing analytics and supply chain optimization. You will refactor a Python-based optimization engine, build predictive models, and apply sophisticated data science methods to real-world Retail/CPG problems.

Ideal candidates have 10+ years in data science for supply chains, expertise with solvers like Gurobi or CPLEX, and strong Python/SQL skills. You will collaborate with cross-functional teams and contribute to innovation.

Qualifications

• 10+ years as a Data Scientist focused on supply chain optimization and inventory allocation.
• MS or PhD in Computer Science, Operations Research, Applied Mathematics, Machine Learning, or related field.
• Experience with mathematical programming solvers (Gurobi, CPLEX, Xpress MP, Google OR-Tools).
• Strong programming in Python, PySpark, SQL and data science libraries.
• Solid knowledge of statistics, optimization, and predictive modelling.
• Ability to translate business needs into data-driven solutions.
• Excellent communication and collaboration with business stakeholders.

Responsibilities

• Refactor the optimization algorithm written in Python using Object Oriented Programming.
• Work on data science applications to solve pricing and supply chain optimization problems in Retail/CPG.
• Develop and implement predictive models and optimization algorithms to improve pricing techniques.
• Collaborate with cross-functional teams to translate business requirements into data-driven solutions.
• Stay current with industry trends in data science, replenishment optimization, and supply chain management.
• Mentor and collaborate with a growing team of Data Scientists.

Skills

Data Science

Optimization

Operations Research

Python

Pyspark

SQL

Machine Learning

Communication

Education

MS/PhD in CS/OR/Applied Math/ML

Tools

Gurobi

CPLEX

Xpress MP

Google OR-Tools

Job description

Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce.

We are also market leaders in AI and analytics consulting in the CPG & retail industry with over 40% of our revenues coming from the sector. This is our fastest-growing sector, and we are beefing up our talent in the space.

We are looking for a Senior Data Scientist with a good blend of data analytics background, practical experience in Operation research strategies and Pricing Analytics within supply chains, and strong coding capabilities to add to our team.

Key Responsibilities:

• Responsible for refactoring the Optimization algorithm written in Python using Object Oriented Programming

• Work on the latest applications of data science to solve business problems in the Supply chain and optimization space of Retail and/or CPG.
• Utilize advanced statistical techniques and data science algorithms to analyze large datasets and derive actionable insights related to Pricing Optimization.
• Develop and implement predictive models and optimization algorithms to improve Pricing techniques.
• Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions.
• Stay abreast of industry trends and best practices in data science, replenishment optimization, and supply chain management, and leverage this knowledge to drive innovation within the organization.
• Collaborate, coach, and learn with a growing team of experienced Data Scientists.

• Proven experience 10+ years working as a Data Scientist, with a focus on supply chain optimization and inventory allocation.
• MS or PhD in Computer Science, Operations Research, Applied Mathematics, Machine Learning, or a related field.
• Experience with using mathematical programming solvers such as Gurobi, Xpress MP, CPLEX, or Google OR Tools in applications.
• Solid understanding of statistical methods, optimization techniques, and predictive modelling concepts.
• Strong proficiency in programming languages such as Python, Pyspark and SQL, and experience working with data analysis and machine learning libraries.
• Ability to apply various analytical models to business use cases
• Exceptional communication and collaboration skills to understand business partner needs and deliver solutions and explain to business stakeholders.

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.