T

Tiger Analytics

Delivers Data and AI transformation

Operation Research Scientist - Demand Planning/Forecasting

Data ScienceConfirmed live in the last 24 hours
Full-timeToronto, ON, CanadaNo salary listedRemote

About the Job

Requirements

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

Responsibilities

  • Refactor the optimization algorithm written in Python using object-oriented programming.
  • Apply data science to solve business problems in supply chain and optimization for Retail and/or CPG.
  • Use 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 informed about industry trends and best practices in data science, replenishment optimization, and supply chain management, and use this knowledge to drive innovation.
  • Collaborate with, coach, and learn from a growing team of experienced Data Scientists.

About the Company

Tiger Analytics

Delivers Data and AI transformation

Tiger Analytics helps large organizations plan and execute Data and AI–led transformations at scale. It works with clients to translate business needs into data and AI initiatives, using an approach that combines business value mapping, agile operating models, and a platforms-based architecture, backed by partnerships with major hyperscalers. The company designs and delivers end-to-end data and AI solutions—from strategy and data engineering to model development and deployment—so that AI can be applied to tough, real-world problems. Unlike firms that rely mainly on standard playbooks, Tiger Analytics builds custom approaches and accelerators to suit each client’s value chain and operating model. With a global team of 5000+ technologists and consultants, the goal is to enable measurable value and practical outcomes through data and AI programs that work at enterprise scale.

Company size
1,001-5,000
Company stage
Not listed
Total funding
Not listed
Headquarters
San Jose, CA
Founded
2010

Recently Posted Jobs

Explore more opportunities at Tiger Analytics

See more jobs