The data science team at Oracle Analytics works on diverse data science/ML problems on enterprise data such as invoice payment prediction, churn prediction, demand prediction and recommender systems. We use a combination of technologies including text processing, information retrieval, natural language processing (including large language models) and time series prediction.

As a member of the Data Science team, you will perform the following tasks
- Understand background literature/relevant research papers in the problem domains
- Processing, cleansing and verification of data (Data Engineering)
- Perform Adhoc analysis and visualization of data
- Develop machine learning models using pyspark, scikit-learn, keras, tensorflow, pytorch etc.
- Work on data pipelines for deploying the machine learning models (e.g. using Oracle DataFlow)
- Post deployment analysis of ML models

Good programming/software skills in Python/Pyspark and prior industrial experience in data science/machine learning is required for this position. Experience in creating/deploying models in Spark environments is desirable.

Career Level - IC3

Interacts with product and service teams to identify questions and issues for data analysis and experiments. Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources. Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers.

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Disclaimer:

Oracle is an Equal Employment Opportunity Employer*. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

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