Data Scientist / Intelligent Operations-1
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About the Role
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Job Type: Full Time
Job Category: IT
Job Description
Role: Data Scientist – Intelligent Operations
Location: Toronto, ON
Employment Type: Full-Time (FT)
Work Mode: Onsite
Job Description:
We are seeking a skilled Data Scientist – Intelligent Operations to leverage data and advanced analytics to optimize business operations. The ideal candidate will apply machine learning, statistical modeling, and AI techniques to solve complex operational challenges and drive data-driven decision-making.
Key Responsibilities:
Develop predictive models and analytics solutions to improve operational efficiency
Analyze large datasets to identify trends, patterns, and actionable insights
Implement machine learning models in production environments
Collaborate with business stakeholders to define requirements and KPIs
Design dashboards and reporting tools for operational insights
Work with cross-functional teams including IT, operations, and analytics
Ensure data quality, governance, and compliance in analytics projects
Mentor junior data scientists and provide technical guidance
Develop predictive models and analytics solutions to improve operational efficiency
Analyze large datasets to identify trends, patterns, and actionable insights
Implement machine learning models in production environments
Collaborate with business stakeholders to define requirements and KPIs
Design dashboards and reporting tools for operational insights
Work with cross-functional teams including IT, operations, and analytics
Ensure data quality, governance, and compliance in analytics projects
Mentor junior data scientists and provide technical guidance
Required Skills:
Strong experience in Python, R, or similar programming languages
Expertise in machine learning, AI, and statistical modeling
Experience with data visualization tools (Tableau, Power BI, etc.)
Strong SQL and database knowledge
Knowledge of cloud platforms (AWS, Azure, or GCP)
Problem-solving and analytical thinking skills
Strong experience in Python, R, or similar programming languages
Expertise in machine learning, AI, and statistical modeling
Experience with data visualization tools (Tableau, Power BI, etc.)
Strong SQL and database knowledge
Knowledge of cloud platforms (AWS, Azure, or GCP)
Problem-solving and analytical thinking skills
Preferred Qualifications:
Experience in Intelligent Automation, RPA, or operational analytics
Knowledge of NLP, time series forecasting, or optimization algorithms
Strong communication and stakeholder management skills
Experience in Intelligent Automation, RPA, or operational analytics
Knowledge of NLP, time series forecasting, or optimization algorithms
Strong communication and stakeholder management skills
Required Skills
PERFORMANCE ARCHITECT
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