Data Scientist - Senior

RQ11452 - Data Scientist - Senior 2 X

Duration: 11+ months (240 Business Days) + Possible Extension

Location: 5 Days ONSITE at 56 Wellesley Street, Toronto

Must Have:

• Demonstrates knowledge of data analytics, including relational databases, geospatial analysis, spatial data management, data visualization, and analytical frameworks used to support business decision-making.
• Demonstrates proficiency with analytics and visualization tools such as Power BI, Tableau, R Shiny, ArcGIS, or equivalent reporting and analytical platforms.
• Demonstrates the ability to analyze, integrate, and interpret both spatial and non-spatial datasets to support planning, compliance, reporting, and decision-making activities.
• Demonstrates the ability to develop and apply predictive models, analytical frameworks, business intelligence solutions, and geospatial analysis techniques.

Responsibilities

• 1. Analyze complex data sets to generate predictive models and insights that inform business strategies
• 2. Uses statistical methods, machine learning, and programming languages to interpret data and provide actionable insights
• 3. Initiate, research, develop and manage new information studies and devise innovative statistical models for data analysis
• 4. Conduct initial analyses to understand data's characteristics and identify potential patterns or trends

• General Skills

• 1. Experience identifying business problems that can be addressed using data analysis
• 2. Experience identifying relevant data sources and sets to mine for client business needs, and collect large structured and unstructured datasets and variables
• 3. Familiarity and experience with data visualization tools e.g. Power BI
• 4. Experience and proficiency with data mining, mathematics and statistical analysis
• 5. Experience developing data-driven solutions to improve business performance and decision making
• 6. Experience collaborating with cross-functional teams to integrate data insights into business strategies
• 7. Extensive experience in pattern recognition and predictive modeling
• 8. Extensive experience with programming languages like Python or R
• 9. Experience working with big data sets
• 10. Experience with code version control systems such as GIT
• 11. Experience with database management systems
• 12. Project management experience
• 13. Awareness of emerging I&IT trends and technologies
• 14. Excellent analytical, problem-solving and decision-making skills; verbal and written communication skills; interpersonal and negotiation skills
• 15. A team player with a track record for meeting deadlines

• Desirable Skills

• 16. Advanced degree in social science or statistics
• 17. Certifications such as the Data Science Professional Certificate (offered by IBM) or Google Data Engineer certification

• AI Disclaimer: Source Code may use artificial intelligence (AI) tools to assist in certain aspects of its recruiting and business operations.

• Note: The higher end of the range is intended for absolutely exceptional candidates who meet all must-have requirements and most or all nice-to-have qualifications. The client will evaluate candidates based on both rate expectations and overall skill set when shortlisting.

• INCORPORATED RATE RANGE (7.25 billable hours per day)

• $97.81/hr - $117.37/hr Inc.

• T4 RATE RANGE (7.25 billable hours per day)

• $78.25/hr - $93.90/hr T4