Senior Data Scientist
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Key skills for this role
About the Role
BMO Financial Group is seeking a Senior Data Scientist for a 12-month contract in Toronto. You will use advanced analytical algorithms to mine and analyze large datasets, develop predictive models, and collaborate with product teams to drive data-driven decisions.
Key Skills for This Role
Responsibilities
- Use advanced analytical algorithms (e.g. machine learning, deep learning, AI) to mine and analyze large sets of structured and unstructured data
- Design and construct new processes for modeling data
- Develop predictive models and leverage big data technology to design solutions that deliver smarter business decisions
- Collaborate with other data and analytics professionals to optimize, refine and scale analysis into mature analytics solutions
- Use data mining to extract usable data from valuable data sources to assess feasibility of AI/ML solutions
- Conduct large scale analysis of information to discover patterns and trends by combining different modules and algorithms
- Provide recommendations and advice for business leaders to maintain market competitiveness
- Develop prediction systems and machine learning algorithms
- Collaborate with product team and partners to provide data driven decision making, business planning and future roadmap
- Operate at a group/enterprise wide level and serve as a specialist resource to senior leaders and stakeholders
Requirements
- Typically 7+ years of relevant experience and/or certification in related field of study or equivalent combination of education and experience
- Strong programming skills in Python or SAS
- Proficiency in both SQL and Big data technologies (Hadoop, Spark)
- Experience working in cloud based modeling environment a plus (ie. AWS Sagemaker, AzureML, etc)
- Experience in automation and scheduling of data pipeline for end to end scoring solutions
- Experience developing customer discretionary pricing optimization models is an asset
Full Job Posting
Job Family Group
- Data Analytics & Reporting
- This is a 12 month contract hybrid role in Toronto
Responsibilities
- Uses advanced analytical algorithms and technologies (e.g. machine learning, deep learning, artificial intelligence) to mine and analyze large sets of structured and unstructured data to obtain insights.
- Designs and constructs new processes for modeling data.
- Develops predictive models and leverages big data technology to design solutions that deliver smarter business decisions, improve customer experience, and drive productivity.
- Collaborates with other data and analytics professionals and teams to optimize, refine and scale analysis into mature analytics solutions.
- Plays an active role in the futuristic display of data, and advancement of innovative data strategies to understand consumer trends and address business problems.
- Uses data mining and extracting usable data from valuable data sources to assess feasibility of AI/ML solutions for improved processing and usage of organization data.
- Conducts large scale analysis of information to discover patterns and trends by combining different modules and algorithms.
- Uses analysis to provide recommendations and advice for business leaders to maintain market competitiveness.
- Develops prediction systems and machine learning algorithms. Investigates additional technologies and tools for developing innovative data solutions for business stakeholders.
- Collaborate together with the product team and partners to understand and provide data driven decision making, business planning and future roadmap.
- Operates at a group/enterprise wide level and serves as a specialist resource to senior leaders and stakeholders.
- Applies expertise and thinks creatively to address unique or ambiguous situations and to find solutions to problems that can be complex and non routine.
Qualifications
- Typically 7+ years of relevant experience and/or certification in related field of study or an equivalent combination of education and experience.
- Strong programming skills in Python or SAS.
- Proficiency in both SQL and Big data technologies (Hadoop, Spark).
- Experience working in cloud based modeling environment a plus (ie. AWS Sagemaker, AzureML, etc).
- Experience in automation and scheduling of data pipeline for end to end scoring solutions.
- Experience developing customer discretionary pricing optimization models is an asset.
Salary
- CAD 103,200.00 CAD 192,000.00
- Pay Type: Salaried
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