Staff Data Scientist (Fintech)

TL;DR

Staff Data Scientist (Fintech): Providing technical leadership and mentorship to the Data Science team, shaping Neo's data science vision, and guiding the technical development for building a better financial future for all Canadians with an accent on sophisticated ML models across marketing and loyalty. Focus on architecting and enhancing MLOps infrastructure and streamlining auto-retraining.

Location: Primarily collaborate in person across our Calgary, Winnipeg, and Toronto offices.

Company

hirify.global is on a mission to build a more rewarding financial future for all Canadians.

What you will do

• Spearhead technical strategy and end-to-end delivery of sophisticated ML models across marketing and loyalty.
• Manage the technical development of data scientists, guiding complex projects, fostering skill growth, and ensuring high-quality model implementation.
• Champion and evolve model explainability and business trust via advanced SHAP insights, validation reports, and clear cross-functional communication with senior stakeholders.
• Architect and enhance MLOps infrastructure, including automating model pipelines, implementing advanced versioning/drift detection, and streamlining auto-retraining.
• Establish and enforce rigorous model validation frameworks for exceptional model quality, generalization, and compliance.
• Mentor and develop data scientists at all levels, leading technical design, reviewing code/model logic, and spearheading knowledge-sharing.

Requirements

• A distinguished Staff Data Scientist with 10+ years of experience deploying impactful ML models in production, driving commercial outcomes, and leading technical teams.
• Profound technical expertise in Python (pandas, scikit-learn), XGBoost (tuning, custom objectives, SHAP), and AWS (SageMaker, ECS).
• Exceptional ML validation skills, including mitigating data leakage, rigorous OOT testing, and robust backtesting framework design.
• Extensive hands-on experience with Snowflake / Databricks; strong familiarity with MLflow & dbt, with proven ability to architect and optimize data workflows.
• A strategic, business-centric mindset; adept at navigating ambiguity, prioritizing in a fast-paced environment, and delivering high-value solutions on tight timelines.
• Demonstrated experience managing the technical development of data science teams of 5+ members, including mentoring staff and fostering a culture of technical excellence.

Culture & Benefits

• All team members have a stake in Neo’s success and earn meaningful equity through stock options.
• Primarily collaborate in person across our Calgary, Winnipeg, and Toronto offices.
• We trust, respect, and support each other.
• We believe in equal opportunity and are committed to creating an inclusive climate where everyone can thrive.