We are looking for a Data Scientist who can narrow down the right choice of tools like Sagemaker vs Data Bricks etc. and help with Algorithm development and ML Ops setup and configuration. You will work on Data Science - Python, AWS Sagemaker, Databricks ML and Data Structures â Redshift, DataBricks SQL, Data Visualization â Minimal awareness of PowerBI and DataBricks dashboard as well as AWS Quicksight.
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Qualifications & Experience
*Build and manage automation pipelines to operationalize the machine learning platform and machine learning pipelines for fully automated CI/CD pipelines.
* Strong ability to build statistical & machine learning modeling
* Helps define product features, drives the system architecture, and spearheads the best practices that enable a quality product.
* Emphasis is on end-to-end delivery of analysis
* Contribute to how analytical approach is structured for specification of analysis
* Contribute insights from conclusions of analysis that integrate with initial hypothesis and business objective. Independently address complex problems
* Participate in design of analysis and modeling approach with managers and modelers
* Extremely comfortable working with data, including managing large number of data sources, analyzing data quality, and pro-actively working with clientâs data/ IT teams to resolve issues
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