Description

You will design, build, and operationalize advanced ML solutions within the Snowflake environment.

This role is hybrid.

Responsibilities

• Design, train, and validate ML and statistical models to solve core business problems.
• Perform large-scale feature engineering and data transformation using Python/Snowpark directly in Snowflake.
• Design and analyze experiments (A/B tests) and apply causal inference to measure business impact.
• Deploy models into production using Snowpark, UDFs/UDTFs, and automate retraining via CI/CD workflows.
• Conduct deep-dive EDA using complex SQL and communicate findings to technical and non-technical stakeholders.

Required Skills

• 7+ years of progressive experience in Data Science.
• 3+ years deploying ML solutions in a cloud data warehouse.
• Expert proficiency in Python, including scikit-learn, NumPy, and Pandas.
• Expert-level command of Advanced SQL for complex data manipulation.
• Proven experience with Machine Learning algorithms and statistical modeling techniques.
• Strong understanding of MLOps principles for model lifecycle management.
• Hands-on experience building and deploying models in Snowflake.
• Experience with data visualization tools such as Tableau or Power BI.

Preferred Skills

• Experience with Scala.
• Familiarity with GCP, AWS SageMaker, or Azure ML.

Key Skills

Education

Any Gradute