Senior Data Scientist - Operation Research

Tiger Analytics; Toronto; On-site; CAD 90,000 - 120,000; Full time

Job summary

Tiger Analytics is seeking a Senior Data Scientist in Toronto, Canada, to enhance our analytics capabilities within the supply chain field. The ideal candidate will refactor optimization algorithms in Python and derive pricing insights from large datasets. With over 10 years of experience, you will play a key role in developing predictive models and collaborate with cross-functional teams.

The candidate should possess strong programming skills in Python, Pyspark, and SQL, along with a relevant master's or PhD degree. This role offers career development in a fast-paced, entrepreneurial environment.

Qualifications

• 10+ years of experience as a Data Scientist focused on supply chain optimization.
• Experience with mathematical programming solvers for applications.
• Strong proficiency in Python, Pyspark, SQL, and data analysis libraries.

Responsibilities

• Refactor Optimization algorithms in Python using OOP.
• Analyze large datasets to derive insights related to Pricing Optimization.
• Develop predictive models and optimization algorithms.

Skills

Data analytics background

Coding capabilities

Supply chain optimization

Statistical techniques

Predictive modeling

Python

Pyspark

SQL

Education

MS or PhD in a relevant field

Tools

Gurobi

Xpress MP

CPLEX

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.