MFCJP00013244 - Data Science Engineer
Apply NowCompany: Core Resources
Location: Toronto, ON M4E 3Y1
Description:
Open to Toronto or Waterloo
Data Science Engineer
The Opportunity:
As a Data Science Engineer, you will take a leading role in designing and delivering AI/Advanced Analytics solution in cloud-based production environments to business; be accountable for delivering business value with data by focusing on key corporate objectives, including portfolio optimization, expense efficiency, growth acceleration, digital customer leadership, fraud detection, and high-performance of the team. The ideal candidate would have experience in implementing Analytics solutions in finance, health and/or investment organizations.
Responsibilities
Domain expert to leadership for technical guidance around data and AI/ML solution design and standard methodologies
Design, develop and deploy of Generative AI/AI/ML solutions in cloud environment
Integrate AI/ML solutions with enterprise applications and business processes
Responsible for MLOps, DevOps toolchain and Continuous Development, Continuous Integration and Automated Testing using Jenkins
Provide guidance on analytics concepts for broader advanced analytics group, and inspire adoption of advanced analytics, data engineering and data science across organization
Present findings, share insights, and make recommendations that impact sales; and communicate results in written, oral and presentation formats
Innovate ways to source and use data to support modeling efforts applying structured and unstructured data; and big data technologies
Work with multi-functional distributed team members to identify and prioritize practical, high-impact insights across a variety of core business areas
What we are looking for
Advanced degree in a quantitative field (Computer Science, Information system, Mathematic, Statistics, Economy, Finance, etc.)
Advanced experience with PowerBI and Salesforce
Familiar with distributed computing frameworks (e.g. Spark), cloud platforms (e.g. AWS, AzureML, Databricks), containerization, and analytics libraries (e.g. pandas, NumPy, matplotlib)
Experienced with developing APIs or web application development
Strong sense of ownership and superb problem-solving capability
Nice to Haves:
Strong business acumen and finance knowledge, experienced in wealth asset management/ finance
Data Science Engineer
The Opportunity:
As a Data Science Engineer, you will take a leading role in designing and delivering AI/Advanced Analytics solution in cloud-based production environments to business; be accountable for delivering business value with data by focusing on key corporate objectives, including portfolio optimization, expense efficiency, growth acceleration, digital customer leadership, fraud detection, and high-performance of the team. The ideal candidate would have experience in implementing Analytics solutions in finance, health and/or investment organizations.
Responsibilities
Domain expert to leadership for technical guidance around data and AI/ML solution design and standard methodologies
Design, develop and deploy of Generative AI/AI/ML solutions in cloud environment
Integrate AI/ML solutions with enterprise applications and business processes
Responsible for MLOps, DevOps toolchain and Continuous Development, Continuous Integration and Automated Testing using Jenkins
Provide guidance on analytics concepts for broader advanced analytics group, and inspire adoption of advanced analytics, data engineering and data science across organization
Present findings, share insights, and make recommendations that impact sales; and communicate results in written, oral and presentation formats
Innovate ways to source and use data to support modeling efforts applying structured and unstructured data; and big data technologies
Work with multi-functional distributed team members to identify and prioritize practical, high-impact insights across a variety of core business areas
What we are looking for
Advanced degree in a quantitative field (Computer Science, Information system, Mathematic, Statistics, Economy, Finance, etc.)
Advanced experience with PowerBI and Salesforce
Familiar with distributed computing frameworks (e.g. Spark), cloud platforms (e.g. AWS, AzureML, Databricks), containerization, and analytics libraries (e.g. pandas, NumPy, matplotlib)
Experienced with developing APIs or web application development
Strong sense of ownership and superb problem-solving capability
Nice to Haves:
Strong business acumen and finance knowledge, experienced in wealth asset management/ finance