Data scientist 

· 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. · Master’s/PhD in Statistics, Mathematics, Computer Science, or another quantitative field OR Equivalent Demonstrable Experience Preferred: · 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