Sr. Full Stack Data Science Engineer
Core
Lead end-to-end performance diagnostics and translate complex data into actionable insights for business leaders in financial services.
Role type
Senior IC Applied Data Scientist / Full Stack Data Science Engineer
Builds
Scalable analytics assets, datasets, dashboards, segmentation frameworks, and predictive AI/ML models
Domain
Financial Services / Retail Banking
Deliverable
production ML models | dashboards & analysis
Required skills
Python, PySpark, SQL, Power BI, Databricks, Azure/AWS, PyTorch, Generative AI, NLP, Supervised/Unsupervised Learning, ETL/ELT Pipelines, Apache Spark
Preferred skills
Customer analytics in financial services, optimizing analytical assets, bilingual proficiency (English/French)
Technologies
Azure (ADF, Synapse, Databricks), Snowflake, Kubernetes, Docker, Azure Machine Learning, Tableau
Responsibilities
Lead performance diagnostics across customer, product, and advisor dimensions; Develop visualizations and data stories for executive audiences; Partner with business owners to drive AI/ML adoption; Mentor teams on advanced analytics methodologies; Identify emerging analytical trends to improve scalable solutions
Seniority
Senior, hands-on IC
