Start Date
Immediate
Expiry Date
30 Dec, 26
Salary
50000.0
Posted On
01 Oct, 26
Experience
2 year(s) or above
Remote Job
Yes
Telecommute
Yes
Sponsor Visa
Yes
Skills
Industry
Consumer Services
Description
ROLE: Data Scientist or Decision Scientist
REPORTS TO: Director, Data Science
LOCATION: Hybrid / Corporate Office in Richmond Hill, Ontario
SALARY: $110,000-$140,000, up to 10% discretionary incentive target*
THE OPPORTUNITY
Technology is in the DNA of its founders. The Chairman and Co-Founder holds an Engineering Degree and a Master's Degree in Artificial Intelligence. Earlier in their careers, the Chairman and the CEO jointly led the growth and sale of a highly successful software business focused on logistics optimization, subsequently applying their business and technology acumen to the real estate industry, creating Venterra. As a result, the organization is one of the few in the industry with its own in-house property management stack (full spectrum of applications covering rent management, pricing optimization, purchasing, utility billing, work order, and capital expenditure management, etc.), resulting in greater control over its technology destiny. The organization views this capability as a crucial competitive advantage to compete at the highest level of the industry. Venterra has an established competence in Decision Science and is investing heavily in AI - including increasing integration of agentic AI solutions in operational workflows. Current projects on AI/ML/LLM solutions have the potential to revolutionize management, customer experience, and decision optimization.
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Description
ROLE: Data Scientist or Decision Scientist
REPORTS TO: Director, Data Science
LOCATION: Hybrid / Corporate Office in Richmond Hill, Ontario
SALARY: $110,000-$140,000, up to 10% discretionary incentive target*
THE OPPORTUNITY
Technology is in the DNA of its founders. The Chairman and Co-Founder holds an Engineering Degree and a Master's Degree in Artificial Intelligence. Earlier in their careers, the Chairman and the CEO jointly led the growth and sale of a highly successful software business focused on logistics optimization, subsequently applying their business and technology acumen to the real estate industry, creating Venterra. As a result, the organization is one of the few in the industry with its own in-house property management stack (full spectrum of applications covering rent management, pricing optimization, purchasing, utility billing, work order, and capital expenditure management, etc.), resulting in greater control over its technology destiny. The organization views this capability as a crucial competitive advantage to compete at the highest level of the industry. Venterra has an established competence in Decision Science and is investing heavily in AI - including increasing integration of agentic AI solutions in operational workflows. Current projects on AI/ML/LLM solutions have the potential to revolutionize management, customer experience, and decision optimization.
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