RQ11452 - Data Scientist - Senior - 2X

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