Note: The job is a remote job and is open to candidates in USA. Intent Talent Solutions is seeking a Data Scientist with extensive experience in applied artificial intelligence, machine learning engineering, and financial services. The role focuses on developing and deploying predictive models, operationalizing machine learning workflows, supporting quantitative data modeling for structured finance, and communicating technical decisions to non-technical stakeholders.
Skills
- 8+ years of hands-on applied AI/machine learning engineering or data science experience, including:
- Experience in Financial Services
- Building, tuning, and deploying predictive/ensemble ML models
- Working within cloud-native data platforms (Snowflake preferred)
- Operationalizing models via REST API endpoints
- MLOps practices: CI/CD for ML, model monitoring, retraining pipelines
- Experience interacting with product to gather deeper requirements
- Quantitative data modeling for structured finance
- Strong ability to communicate quantitative logic and data decisions to non-technical stakeholders
- Snowflake (Snowpark, Snowpark ML, model registry, notebooks)
- Python (scikit-learn, XGBoost, LightGBM, pandas, NumPy)
- Ensemble model methods (gradient boosting, random forest, stacking)
- MLOps tooling (MLflow, DVC, or equivalent)
- SQL / Snowsight for exploratory data analysis and feature development
- Git / version control, CI/CD pipelines
- Bachelor's degree in Data Science, AI/ML, Computer Science, Statistics, or a related field, or commensurate years of experience
- Advanced degree (M.S. or Ph.D.) in Data Science, Statistics, Applied Mathematics, or related quantitative field
- Snowflake Snowpark ML and Snowflake Model Registry for end-to-end ML lifecycle
- Experience presenting model performance and progress to non-technical stakeholders
- Rapid prototyping and iteration in sprint-based or time-boxed delivery environments
- SnowPro Advanced: Data Scientist or equivalent Snowflake ML certification
Company Overview