Data Scientist

• 5+ years’ experience as data scientist with MLops understanding. • Responsible to development of models and prototypes in AWS sagemaker notebook using Python, Pyspark. • Perform detailed analysis of data sources using AWS Athena, Redshift or Databricks SQL in terms of Data Quality and Feature Engineering. Expert in SQL querying and know windowing functions. • Perform data assessment and other data related preparations needed for the use case. • Have good understanding of the different linear and nonlinear model algorithms like Random Forest, XGBoost, etc. Aware of different model evaluation techniques. • Responsible to perform the MLops operation end to end (i.e. development, validation, deployment & visualization) using different AWS services like AWS lambda , Step functions, Jenkins & Terraform. • Have good understanding of cloud and different cloud services. • Proficient in coding logic using python and have used python libraries like Numpy, Pandas, Scipy, NLTK, Sklearn etc. and different data wrangling packages. • Good to have hands on experience on visualization tool like PowerBI, Tableau etc. • Expert level knowledge of advanced data mining and statistical modelling: Predictive modelling techniques Classification techniques; Clustering techniques & Text mining techniques. Candidate MUST HAVE:- - Hands on model building with python / pyspark ml - AWS experience (Sagemaker, Athena, etc.) - Databricks experience - Experience with TensorFlow or Pytorch (Transformer model) - Experienced with Scikitlearn python package - Expert in SQL querying and know windowing functions - GitHub experience Good to have:- - Airflow - Docker - AWS Bedrock - PowerBI - GEN AI experience