Data Scientist III

Role Overview

As a Data Scientist III, you will be a technical delivery leader responsible for shaping, building, and sustaining analytics and AI capabilities. You will lead complex and innovative initiatives from opportunity identification and data discovery, through model development, validation, deployment support, performance monitoring, and ongoing sustainment including optimization.

What You Will Do

Work closely with NACO Product Owners and act as a trusted advisor to identify high-value use cases, clarify requirements, assess feasibility, and convert business needs into practical analytics, machine learning, and AI solutions. Lead data science initiatives from business problem definition through planning, solution design, development, validation, implementation support, measurement, and sustainment.

Why It Might Be a Fit

You will join a collaborative, multifaceted team of data scientists, machine learning model developers, data engineers, product owners, technology partners, and control functions working together to turn AI-enabled capabilities into impactful business outcomes.

Requirements

• 5+ years of experience in data science, advanced analytics, or a related quantitative field
• Degree in a quantitative discipline (e.g., data science, statistics, computer science, engineering, finance); graduate degree preferred
• Advanced proficiency in Python, SQL, and modern analytics platforms (e.g., Databricks)
• Strong foundation in statistics, experimentation, applied machine learning, and working with large datasets (structured and unstructured)
• Experience delivering production-ready analytics solutions in a cloud environment
• Strong communication and storytelling skills, including the ability to present complex analytical concepts, sound recommendations, influence decisions, and trade-offs to business partners, executives, and technical audiences.
• Ownership mindset, commitment to risk management, responsible AI, data governance, privacy, compliance, and internal policy expectations.
• Experience with data visualization tools such as Tableau or Power BI.
• Knowledge of Contact Centre business operations is preferred.

Benefits

• Base salary
• Variable compensation
• Health and well-being benefits
• Savings and retirement programs
• Paid time off
• Banking benefits and discounts
• Career development
• Reward and recognition programs