Analytics Data Science Engineer
Pradeep KrishnanRemoteSENIORPosted 1h ago
SQLSnowflakePythonpandasNumPyData accuracyStatistical conceptsData science workflows
About the Role
We are looking for an Analytics Data Science Engineer who sits at the intersection of data engineering and data science. In this role, you will build and own the data infrastructure that powers analytics and machine learning workflows, ensuring data is accurate, performant, and ready for insight.
Key Responsibilities
• Build and maintain scalable data infrastructure for analytics and ML workflows
• Ensure data accuracy, quality and performance
• Support data science and engineering teams with production-ready data solutions
• Take ownership of outcomes and deliver actionable business insights
Requirements
• Strong hands-on SQL skills
• Deep Snowflake expertise – performance tuning, warehouse management and cost optimization
• Python – pandas, NumPy, scripting and testing
• Data accuracy, validation and quality frameworks
• Strong statistical concepts – distributions, sampling, hypothesis testing, regression and confidence intervals
• Understanding of data science workflows – exploratory data analysis, feature engineering and model evaluation metrics