Staff Data Scientist

Staff Data Scientist Join us to build a more rewarding financial future for all Canadians At Neo, we’re on a mission to build a more rewarding financial future for all Canadians. Life at a rapidly scaling tech startup isn’t for everyone. It’s complex, fast-paced, high-pressure, but also incredibly fulfilling. Since its founding in 2019, Neo has gained incredible traction and is one of the fastest-growing fintech companies in Canada. - #1 on Deloitte’s Technology Fast 50 for 2023, 2024, and 2025 https://www.newswire.ca/news-releases/neo-financial-achieves-first-ever-three-peat-win-as-number-one-on-deloitte-s-technology-fast-50-list-889692540.html — the first company ever to achieve a three-peat at the top! - #1 Fastest Growing Company in Canada for 2024 by Globe & Mail https://www.businesswire.com/news/home/20240927952651/en/Neo-Financial-Ranks-No.-1-on-The-Globe-and-Mail%E2%80%99s-2024-List-of-Canada%E2%80%99s-Top-Growing-Companies - Top-ranked mobile apps and credit cards - Team of 500+ people - 1M+ customers - 10K+ retail partners The Role Neo Financial seeks an experienced and strategic Staff Data Scientist to provide technical leadership and mentorship to our Data Science team. You will be key in shaping Neo's data science vision and guiding the technical development of a team building a better financial future for all Canadians. This role offers a unique opportunity to apply your expertise to complex, high-impact business challenges in a fast-paced fintech environment. You will guide technical strategy, mentor data scientists, and champion best practices, embodying Neo's core values of Teamwork, Ownership, and Professional Integrity. What you'll be doing: - Spearheading technical strategy and end-to-end delivery of sophisticated ML models across marketing and loyalty. - Managing the technical development of data scientists, guiding complex projects, fostering skill growth, and ensuring high-quality model implementation. - Championing and evolving model explainability and business trust via advanced SHAP insights, validation reports, and clear cross-functional communication with senior stakeholders. - Architecting and enhancing MLOps infrastructure, including automating model pipelines, implementing advanced versioning/drift detection, and streamlining auto-retraining. - Establishing and enforcing rigorous model validation frameworks (e.g., advanced OOT validation, sophisticated temporal splits, comprehensive cross-validation) for exceptional model quality, generalization, and compliance. - Mentoring and developing data scientists at all levels, leading technical design, reviewing code/model logic, and spearheading knowledge-sharing. - Collaborating with executive and business leaders to identify and prioritize high-value data science initiatives, ensuring models address strategic problems and deliver commercial impact. - Staying current with data science, ML, and MLOps advancements, and driving adoption of innovative technologies within the team. Who we are looking for: - 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. ... (truncated, view full listing at source)