Data Scientist 4 - Bengaluru, India - Oracle

    Oracle
    oracle background
    Regular Employee
    Description

    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 technologies such as text processing, information retrieval, natural language processing, generative AI 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 (. 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.

    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 technologies such as text processing, information retrieval, natural language processing, generative AI 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 (. 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.