Job Description

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Key Responsibilities


Develop and deploy machine learning models and advanced analytics solutions using Snowflake. Perform data analysis and feature engineering on large datasets stored in Snowflake. Collaborate with data engineers to ensure efficient data pipelines and optimized queries. Design and implement data models and transformations for analytics and reporting. Leverage Snowflake's capabilities (Snowpark, UDFs, stored procedures) for scalable ML workflows. Communicate insights and recommendations to business stakeholders in a clear, actionable manner. Ensure data quality, security, and compliance throughout the analytics lifecycle. Stay updated on Snowflake features and emerging data science technologies.
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Required Qualifications


Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or related field. 6+ years of experience in data science, with strong exposure to Snowflake. Proficiency in Python, R, SQL, and ML frameworks (Scikit-learn, TensorFlow, PyTorch). Experience with Snowflake architecture, Snowpark, and performance optimization. Familiarity with cloud platforms (AWS, Azure, GCP). Strong analytical, problem-solving, and communication skills.
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Preferred Skills


Knowledge of data governance and compliance standards. Experience with BI tools (Tableau, Power BI) and data visualization best practices. * Familiarity with data pipeline orchestration tools (Airflow, dbt).