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You will:
Interact with business stakeholders, product managers, software engineers, data engineers, and data analysts to create data science products
Write SQL queries, python scripts to clean, wrangle data from multiple sources making them model ready
Use techniques which includes (but not limited to) Natural Language Processing, Machine Learning,GenAI,DataPipelining to build scalable models
Build Data Pipelines & platform to operationalize the models at scale
Become a subject matter expert of the data to create and refine features for modeling
Essential Requirements
2+ years of related experience in a professional role with a bachelor’sdegree;or1+ years with a master’s degree.
Solid programming skills to retrieve, analyze and process data, and build machine learning models from the ground up (Python/R)
Data Science Platforms like Domino Data Lab, Apache Airflow, AWS, and Google Cloud (working environment to build and deploy models)
Machine Learning techniques like Ranking, Classification, Clustering, Regression and Topic Modeling, Deep learning, Neuralnetworksand GEN AI
Deep knowledge of machine learning, information retrieval, data mining, statistics, NLP, or related field
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