Senior Data Scientist - Operation Research at Tiger Analytics Inc. | Toronto, Ontario, CAN | Rezi

Senior Data Scientist - Operation Research at Tiger Analytics Inc.

Senior Data Scientist - Operation Research

Tiger Analytics Inc. · Toronto, Ontario, CAN

Today

Senior Data Scientist - Operation Research

Tiger Analytics Inc. · Toronto, Ontario, CAN

11 hours ago
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About the Role

Tiger Analytics is seeking a Senior Data Scientist with a strong background in data analytics, practical experience in Operations Research strategies and Pricing Analytics within supply chains, and robust coding skills to join their team. This role involves applying AI and analytics to solve complex business problems for global organizations, with a focus on the CPG & retail industry.

Responsibilities

  • Refactor the Optimization algorithm written in Python using Object Oriented Programming.
  • Apply the latest data science applications 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.
  • Collaborate, coach, and learn with a growing team of experienced Data Scientists.

Requirements

  • Proven experience of 10+ years working as a Data Scientist, with a focus on supply chain optimization and inventory allocation.
  • 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.

Skills

  • Data Analytics
  • Operations Research
  • Pricing Analytics
  • Supply Chain Optimization
  • Python
  • Object Oriented Programming
  • Data Science
  • Statistical Techniques
  • Predictive Modeling
  • Mathematical Programming Solvers (Gurobi, Xpress MP, CPLEX, Google OR Tools)
  • Pyspark
  • SQL
  • Machine Learning Libraries

Location

  • US
  • UK
  • India
  • Singapore
  • Remote

Work Type

  • Remote
  • Full-time

Experience Level

  • Senior
  • 10+ years

Education Level

  • MS or PhD in Computer Science, Operations Research, Applied Mathematics, Machine Learning, or a related field.

About the Company

  • Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally.
  • They develop bespoke solutions powered by data and technology for several Fortune 100 companies.
  • They have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce.
  • Tiger Analytics is a market leader in AI and analytics consulting in the CPG & retail industry, with over 40% of their revenues coming from the sector.
  • This is their fastest-growing sector, and they are expanding their talent in the space.
  • 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.

Equal Opportunity

  • 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.