Closed listing
Data Scientist
- Toronto, ON, Canada
$75 to $85 CAD / hour · Contract
This opening has closed.
The original listing is kept below for reference.
Job details
- Pay
- $75 to $85 CAD / hour
- Job type
- Contract
- Closing date
- Posting language
- English
- Posted
Similar jobs hiring now
Search current openingsOriginal job description
Archived listing. The details below describe a past opening.
We are looking for an Intermediate Data Scientist for a 1 year contract with high possibility of extension. Role is hybrid with 3 days a week on site in Downtown Toronto.
Description
The Data Scientist will support the Information Security / Financial Crimes Data & Analytics team, focusing on monitoring, investigations, alert triage, and threat detection. The role will analyze large datasets, evaluate alert effectiveness, and optimize detection thresholds using Python, SQL, and statistical analysis.
Responsibilities
- Analyze security and financial crime alerts to identify trends and anomalies.
- Evaluate detection performance and recommend threshold adjustments.
- Develop data-driven insights to support investigations and monitoring programs.
- Create and maintain analytical reports and dashboards.
- Collaborate with business, risk, and security stakeholders.
Must Have
- Strong Python skills
- Strong SQL skills
- Strong statistical analysis experience
- Experience working with large datasets and data analysis
Nice to Have
- Splunk
- Databricks
- Machine Learning
- Banking, Fraud, Financial Crimes, or Cybersecurity experience
Ideal Candidate
A data-driven professional with strong analytical and problem-solving skills who can help improve monitoring, detection, and investigative processes through statistical analysis and data insights.
Note: We use AI tools to: obtain basic information, detect plagiarism, false employment history or references, categorize your skills, and do an initial match with job posting.
More about this job
Responsibilities
Analyze security and financial crime alerts and large datasets to identify trends and anomalies, assess detection performance, and recommend threshold adjustments. Develop insights, reports, and dashboards to support investigations and monitoring programs, collaborating with business, risk, and security stakeholders.
Requirements
The role requires strong Python and SQL skills, statistical analysis experience, and experience analyzing large datasets. Experience with Splunk, Databricks, machine learning, or banking, fraud, financial crimes, or cybersecurity is an asset.
Skills
- Python
- SQL
- Statistical Analysis
- Data Analysis
- Large Dataset Analysis
- Anomaly Detection
- Alert Evaluation
- Detection Threshold Optimization
- Data-Driven Insights
- Analytical Reporting
- Dashboard Development
- Stakeholder Collaboration
- Splunk
- Databricks
- Machine Learning
- Financial Crime Monitoring
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Technology
- Security & Safety
- Finance & Accounting
Keywords
- Python
- SQL
- Statistical Analysis
- Data Analysis
- Large Datasets
- Information Security
- Financial Crimes
- Data And Analytics
- Alert Triage
- Threat Detection
- Security Alerts
- Anomaly Detection
- Detection Performance
- Detection Thresholds
- Investigations
- Monitoring Programs
- Analytical Reports
- Dashboards
- Splunk
- Databricks
- Machine Learning
- Banking
- Fraud
- Cybersecurity
- Risk