Data Scientist

Exp:3yrs +

Experience using Python to manipulate data and draw insights from large data sets.

Experience in various ML algorithms for regression, classification, clustering, Association, and Dimensionality Reduction.

Experience in various DL NN architecture such as CNN, RNN, Transformers

Well versed with frameworks such as TensorFlow, Keras, Caffe and Torch.

Experience in building end to end data science pipeline (Experimentation, Model Training, Model Evaluation, Model Deployment, Model Monitoring)

Experience developing ML applications on one or more of the following cloud environments – Azure, AWS, GCP

Demonstrated ability to work in a collaborative, data-driven, start-up environment

Experience using Redshift, S3, ADLS, Databricks, Jupyter, SageMaker, Azure ML etc.

Experience with distributed data/computing tools: Spark, Map/Reduce, Hadoop, Hive etc.

Experience in visualizing and presenting data for stakeholders using: Plotly Dash, Amazon Athena, D3.js etc.

Experience utilizing OpenAI and other LLMs