Toronto, Ontario, Canada
Open 3 months, first seen by us 99 days agoWork setup in the employer’s posting: RemoteFrom the employer’s posting
Employment type in the employer’s posting: Full-timeFrom the employer’s posting
Refactor Python optimization algorithms using object-oriented programming
Apply data science to supply chain and optimization problems in retail and CPG
Analyze large datasets to derive pricing optimization insights
Develop predictive models and optimization algorithms to improve pricing
Translate business requirements into data-driven solutions with cross-functional teams
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.
Proven experience 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
- 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.
Open 3 monthsWe first saw this posting 99 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 99
Up longer than most. Similar jobs usually come down between day 8 and day 59.
At Tiger Analytics, jobs usually come down by about day 68.
From 11,556 similar postings that came down, and 27 of Tiger Analytics’s. Coming down is not always a hire.
74 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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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.
- 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
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Yes. We’ve followed 3 other Senior Data Scientist - Operation Research jobs there since May 2026. 2 came down, usually after about 53 days. One is still up.
Large employers often post one title for several teams, so these can be separate openings.
New Data Scientist postings at the employers we follow are down 4% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
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:
Requirements
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.
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.
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Toronto, Ontario, Canada
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.
No clear work-authorization passage found. Eligibility is unconfirmed.