Data Scientist

Responsibilities: Design and deploy production-grade machine learning solutions and predictive models natively within the Snowflake ecosystem. Build and automate end-to-end MLOps pipelines while collaborating with cross-functional stakeholders to translate business needs into AI solutions.

Requirements: Requires 7 or more years of professional experience in Data Science or Machine Learning, specifically within a SaaS environment. Must have expert-level Python and SQL skills and demonstrated experience with Snowflake Cortex ML and MLOps automation.

Key skills: Machine Learning, Snowflake Cortex ML, Python, Advanced SQL, MLOps, Predictive Analytics, Snowpark, CI/CD, Feature Engineering, Statistical Modeling, Data Integration, LLMs, Generative AI, Git, Jupyter Notebooks, Stakeholder Management

Keywords: Data Science, Machine Learning, Snowflake Cortex ML, Python, SQL, MLOps, SaaS, Predictive Analytics, Snowpark, CI/CD, LLM, Generative AI, Git, Jupyter Notebooks, Feature Engineering, Statistical Modeling, Data Integration, Cloud AI Platforms, Production Analytics, Model Monitoring, Model Versioning, Enterprise Data Pipelines