Data Scientist – SQL

ProViso Staffing; Toronto; On-site; CAD 100,000 - 120,000; Full time

Job summary

A staffing and consulting agency is seeking a Senior Data Analyst to manage large datasets and implement data-driven solutions in Toronto. The ideal candidate will have over 10 years of experience with SQL, Spark, and statistical analysis, along with strong communication skills. This 6-month contract position offers a dynamic environment focused on customer onboarding and fraud analytics.

Qualifications

• 10+ years of combined working experience with SQL, Spark, and relational databases.
• 10+ years of production experience with statistical analysis, machine learning, and digital analytics.
• 3-5+ years’ experience with Power BI and/or Tableau.

Responsibilities

• Efficiently handle large volumes of structured and unstructured data.
• Collaborate with operation and other analytics teams for model deployment.
• Design project architecture and roadmap.
• Prepare documentation outlining data sources and models.
• Present results to stakeholders and implement data-driven changes.

Skills

SQL

Spark

Statistical analysis

Machine learning

Digital analytics

Power BI

Tableau

Education

Bachelor's Degree in Computer Science

Tools

Power BI

Tableau

Job description

Overview

Story Behind the Need: Business group: Small Business & Channel Analytics – team works in customer onboarding, using proprietary technology building to assess necessary stages that customers are onboarded safely and securely, a lot of work is focused on channel expansion, data and analytics to see how that funnel is behaving. Project: Initiative working with an external vendor (fraud and know your customer technology) – ensuring data is properly ingested, structured, – work in coordinating with fraud, digital teams.

Responsibilities

• Efficiently handle large volumes of structured and unstructured data through ingestion, modeling, transformation, and storage across diverse data stores. Leverage distributed computing tools (e.g., Spark, Cloud) for analysis, data mining, and modeling
• Collaborate with operation, and other analytics teams to deploy models and algorithms in production across different channels and platforms
• Work with the team to design the project architecture and road map.
• Prepare detailed documentation to outline data sources, models, and algorithms used and developed.
• Present results to business line stakeholders and help implement real world data-driven changes.

Qualifications

• 10+ years of combined working experience with SQL, Spark and relational databases technologies/concepts for both (please list which)
• 10+ years of production experience with statistical analysis, machine learning and digital analytics (e.g., hypothesis driven analysis, acquisition, and fraud/anomaly detection)
• 3-5+ years’ experience with Power BI and/or Tableau (Power BI preferable)

Nice-To-Have Skills

• Domain knowledge/experience with on digital authentication and digital fraud analytics. 2) Hands-on experience with Big Data/Cloud ecosystem (GCP)
• Experience with existing Know-Your-Customer (KYC) practices across financial institutions and the supporting technologies

Soft Skills Required

• Excellent written, verbal, and interpersonal skills for executive level communication and collaboration
• Able to work in a fast-paced, constantly evolving environment and manage multiple priorities.
• Pragmatic and capable of solving complex issues.
• Strong experience working with a variety of cross-functional teams.

Education

• Bachelor’s Degree or equivalent in in Computer Science, Engineering, or relevant field.

Job Details

• Job ID: 11847
• Contract
• 6 months
• Toronto