Data Science - Data Commerce Solutions

You will work with data science related tools, accelerators, and products and solutions that enhance a data scientist’s work and, ultimately, work in a highly collaborative, team environment with multiple stakeholders including business, product development, architecture, and engineering teams.

What you will do:

1. Support end-to-end data science project activities including requirement analysis, explorative data analysis, data wrangling, feature engineering, algorithm selection, model fitting/validation/verification, visualization, hyper parameter tuning, inference analysis, model deployment. 
2. Use a High-Performance Computing (HPC) platform to build, test and deploy AI/ML/DL models and provide post deployment support including monitoring, troubleshooting, improving model efficiency, and scaling the solution within the HPC platform.
3. Work with several frameworks including Spark, DASK, sci-kit learn, Xgboost, TensorFlow, Keras, PyTorch, Pandas, PyArrow.
4. Assist in the communication of insights and the implementation of impactful data science solutions across the organization.