Extensive experience as a Senior Data Scientist in brokerage, trading, or financial services. Expert proficiency in Python and industry-standard libraries (pandas, scikit-learn). Advanced SQL skills. Strong background in supervised and unsupervised learning with proven experience deploying models in production. Practical experience with cloud-native data warehouses (Snowflake, BigQuery, Redshift, or similar). Ability to manage full project lifecycles. Exceptional communication skills and track record of effective collaboration with non-technical stakeholders.