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Data Scientist (Optimization) Jobs
Company | Tiger Analytics |
Address | Toronto, Ontario, Canada |
Employment type | FULL_TIME |
Salary | |
Category | Technology, Information and Internet |
Expires | 2023-08-17 |
Posted at | 10 months ago |
Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our employees bring deep expertise in Data Science, Machine Learning, and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.
- Effectively communicate the analytics approach and how it will meet and address objectives to business partners
- Stay connected with external sources of ideas through conferences and community engagements
- Collaborate, coach, and learn with a growing team of experienced Data Scientists
- Support demands from regulators, investor relations, etc., to develop innovative solutions to meet objectives utilizing cutting-edge techniques and tools.
- Advocate and educate on the value of data-driven decision-making; focus on the “how and why” of solutions
- Create repeatable, interpretable, dynamic, and scalable models seamlessly incorporated into analytic data products
- Lead analytic approaches; integrate solutions collaboratively into applications and tools with data engineers, business leads, analysts, and developers
- Strong statistics foundation and knowledge of statistical packages. Highly proficient with Python and SQL and can write complex Python codes and SQL queries
- Exceptional communication and collaboration skills to understand business partner needs and deliver solutions
- A solid knowledge of deep learning, quick learner, and a strong coding capability. This person will be responsible for writing complex production-level codes
- At least 6+ years of extensive Data Science experience with robust Optimization experience (specifically, integer programming, mixed integer programming) and deep Reinforcement Learning knowledge is a must
- Hands-on experience building models is a must. A simulation experience is plus
- Retail/CPG or Supply Chain experience is a must
- Ph.D. (highly preferred) or Master’s in Computer Science, Statistics, Economics, Data Science, or a related field
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