Title: Data scientist / Data engineer
Duration: 6 months
Location: Hybrid Markham, Ontario – could also  be  Wellington West  TO ( as per the consultant  residence or  commute preference )  (03 days a week in office)
Extension possible: Yes
Conversion Possible:  Yes
 
Summary Of The Role:
Typical Day-to-Day Responsibilities 

• Reporting to the Senior Advanced Analytics Manager, the Data Scientist will be conducting all analytical activities related to AML transaction monitoring systems. 
• Work independently to provide analysis, design and support of technical data management solutions on various projects ranging in complexity and size
• Conduct data quality checks on raw or curated data on Oracle and Azure platforms
• Conduct activities related to customer segmentation, scenario Initial threshold setting and model performance monitoring
• Help maintain a structured documentation process to demonstrate an effective scenario review program to satisfy audit, compliance, and regulatory requirements
• Execute quality control procedures to review end-to-end interim monitoring solutions, identify gaps, and support future-state implementation activities.
• Work with various business teams to help identify areas for improvement and provide insights using supporting data and models to support business strategies.

 
Must-Have Hard Skills:

• Expert-level proficiency in Python and SQL.
• Advanced knowledge of query optimization, debugging, and automation.
• Strong data exploration and analysis skills, with experience working with large-scale datasets.
• Ability to apply statistical techniques and data mining tools to solve business problems.
• Strong knowledge of and experience with data-driven or data-centric projects.

 
Soft Skills:

• Strong collaboration and communication skills, with the ability to engage cross-functional teams, discuss complex data issues, and present findings clearly.
• Proven ability to work effectively within large, collaborative teams and contribute as a strong team player.
• Excellent multi-tasking skills: ability to adapt to and manage changing priorities.

 
Nice-To-Have

• 1.) Experience with SAS, Informatica, Tableau, and other relevant data analytics tools.
• 2.) AML knowledge

Years of Overall Experience: 5yrs + 
  
 
At SPECTRAFORCE, we are committed to maintaining a workplace that ensures fair compensation and wage transparency in adherence with all applicable state and local laws. This position’s starting pay is: $ 80.00/hr.