Tiger Analytics

Senior Data Scientist - Operation Research

Tiger Analytics • $100K — $130K *
Toronto, ON M3C 0E3In-Person
Business Services
8 - 10 years of experience
1 month ago
Job Overview by Ladders

Qualifications

  • 10+ years of experience as a Data Scientist, focusing 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 mathematical programming solvers like Gurobi, Xpress MP, CPLEX, or Google OR Tools
  • Solid understanding of statistical methods, optimization techniques, and predictive modeling concepts
  • Strong proficiency in Python, Pyspark, and SQL, with experience in data analysis and machine learning libraries
  • Ability to apply various analytical models to real business scenarios
  • Exceptional communication and collaboration skills for stakeholder engagement

Responsibilities

  • Refactor optimization algorithms in Python applying Object Oriented Programming principles
  • Apply the latest data science applications to solve supply chain and optimization problems in Retail and CPG
  • Utilize advanced statistical techniques and algorithms to analyze large datasets for Pricing Optimization
  • Develop and implement predictive models and optimization algorithms to enhance pricing techniques
  • Collaborate with cross-functional teams to turn business needs into data-driven solutions
  • Stay updated on industry trends in data science and supply chain management to foster innovation
  • Coach and collaborate with a team of experienced Data Scientists

Benefits

  • Opportunity for significant career development in a fast-growing, entrepreneurial environment
  • High degree of individual responsibility in role
Full Job Description
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.

Requirements
  • 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.

Benefits

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.

About Tiger Analytics

Tiger Analytics is a consulting firm that provides data analytics consulting services to businesses. The company specializes in data science, machine learning, and artificial intelligence. Tiger Analytics helps businesses to leverage data to make better decisions, improve operations, and drive growth. The company has worked with clients in a variety of industries, including healthcare, retail, finance, and technology.
Learn more about Tiger Analytics
Size
500 employees
Industry
Information Technology
Net Income
$1 million
Founded
2011
5 Year Trend
+50%
Revenue
$10 million
* Ladders Estimates

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