Senior Data Science Specialist

Description:

Senior Data Science Specialist

The Municipal Property Assessment Corporation (MPAC) is made up of a team of experts who understand local communities and assess every property in Ontario. What we do provides the very foundation that municipalities use to base the property taxes needed to pay for the services we use every day.

Equity, Diversity, Inclusion and Anti-Racism

MPAC is committed to Equity, Diversity, Inclusion and Anti-Racism. We are taking important steps towards ensuring that all voices are respected, valued and being heard. MPAC is dedicated to fostering an environment where employees can bring their full, unique and authentic selves and are inspired to do their best work.

Job Description

What makes you great for this role?

You are an experienced data science professional who excels at transforming complex data into meaningful insights that support operational and strategic decision-making. You combine deep technical expertise in advanced analytics, machine learning, and data management with strong communication and collaboration skills. You are motivated by solving complex problems and helping leaders use data to improve business processes, operational performance, and client outcomes.

We Have
 

• A team of highly skilled, dedicated and collaborative staff
• Leadership that supports you
• An enterprise that embraces change
• A work environment that has flexible work locations (including hybrid), hours of work and overall employee wellness support
   

You Have
 

• Completion of post-secondary (college or university) education in data science, mathematics, statistics, engineering, computer science, programming, economics, or related field
• Minimum of 7 years of progressively responsible experience in data science and computer programming, including:
  • Advanced data extraction, data management, and analytics for large, complex datasets
  • Development and maintenance of analytical models and tools
  • Experience applying statistical and/or machine learning methods in an operational or enterprise context
• Experience designing or supporting enterprise data architectures, ETL processes, or BI/reporting platforms Proficiency in statistical programming languages (SAS, R, SPSS, etc.)
• Proficiency in at least one general-purpose programming or scripting language (e.g., Python, Java, C, C++, etc.)
• Deep expertise with relational databases and SQL, and familiarity with NoSQL technologies
• Demonstrated ability to write efficient, maintainable, well-documented code and implement analytics solutions that perform at scale
• Expert knowledge of statistics and probability and their application in systems analysis, operations research, and/or business analytics
• Hands-on experience building and deploying machine learning and AI models (including LLMs) within product environments
• Occasional travel is required to visit field offices and engage with customers and partners