Data Science Level II

Role & responsibilities

• Strong knowledge in OOPs and creating custom python packages for serverless applications.
• Strong Knowledge in SQL querying.
• Hands on experience in AWS services like Lambda, EC2, EMR, S3 and Athena, Batch, Textract and Comprehend. 
• Strong Expertise in extracting text, tables, logos from low quality scanned multipage pdfs (80 - 150 dpi) and Images.
• Good Understanding in Probability and Statistics concepts and ability to find hidden patterns, relevant insights from the data.

• Knowledge in applying state of art NLP models like BERT, GPT - x, sciSpacy, Bidirectional LSTMs-CNN, RNN, AWS medical Comprehend for Clinical Named Entity Recognition (NER).
• Strong Leadership Skills.
• Deployment of custom trained and prebuilt NER models using AWS Sagemaker.
• Knowledge in setting up AWS Textract pipeline for large scale text processing using AWS SNS, AWS SQS, Lambda and EC2.
• Should have Intellectual curiosity to learn new things.
• ISMS responsibilities should be followed as per company policy.

Preferred candidate profile

• 3+ years Hands on in Python and data science like tools pandas, NumPy, SciPy, matplotlib and strong exposure in regular expressions.
• 3+ years Hands on experience in Machine learning algorithms like SVM, CART, Bagging and Boosting algorithms, NLP based ML algorithms and Text mining.
• Hands on expertise to integrate multiple data sources in a streamlined pipeline.