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
Applicant Notices & Disclaimers
- For information on benefits, equal opportunity employment, and location-specific applicant notices, click here
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.
SPECTRAFORCE