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Senior Data Scientist – Forecast Engine Utility Innovation
Company | Unilever |
Address | Toronto, Ontario, Canada |
Employment type | FULL_TIME |
Salary | |
Category | Food and Beverage Services,Food and Beverage Manufacturing,Manufacturing |
Expires | 2023-09-19 |
Posted at | 10 months ago |
Location: Toronto, Canada
- Actively contribute to and re-use UL DS community best practices.
- Create technical design; innovative problem solving, Document and Develop technical solutions aligned with business objectives; identify gaps between the current and desired end-states
- Execute data science innovation topics for Forecast Engine Utility and Integrated Business operations to deliver global forecast KPIs
- Working in an agile environment with globally distributed teams.
- Engaging in strategic discussions to identify problems while measuring and improving the quality of workflows. Identify and implement opportunities to improve tooling and implementation of scalable solutions
- Engaging in strategic discussions to identify problems while measuring and improving the quality of workflows. Identify and implement opportunities to improve tooling and implementation of scalable solutions
- Working in an agile environment with globally distributed teams.
- Analyzing the AI/ML algorithms that could be used to solve a given problem and ranking them by their success probability.
- Mentor and supervise team member across the organization.
- Write efficient and well-organized ML based software to ship products in an iterative, continual-release environment.
- Research and develop algorithms/Model to improve large scale demand forecasting problem (+billions of timeseries). Build, maintain, and improve new and existing suite of algorithms and their underlying systems.
- Contribute to the AI innovation and build thought leadership via publications/patents and presence in industry/academic conference. Further, actively contribute towards establish innovation team as thought leader in demand forecasting within the CPG industry.
- 5+ years of relevant experience with skills in Time Series models, Machine Learning, and strong hold of object-oriented programming with large data.
- Experience in enterprise level ML product development is required.
- Bachelor's Degree required
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