Oracle
Data Scientist 4 - Principal Data Scientist
Oracle, Pleasanton, California, United States, 94566
Data Scientist 4 - Principal Data Scientist
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 OCI Data Flow).
Post deployment analysis of ML models.
Qualifications:
BS in Computer Science, Data Science, Machine Learning, or related technical fields with 5+ years of applied experience.
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.
Experience developing machine learning models using PySpark, scikit-learn, Keras, TensorFlow, PyTorch, etc.
Thorough understanding of CS fundamentals including data structures, algorithms, and complexity analysis.
Strong software development experience through hands-on coding.
Experience in formulating analytical problems into actionable research and applying advanced machine learning techniques for problem solving.
Career Level - IC4
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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 OCI Data Flow).
Post deployment analysis of ML models.
Qualifications:
BS in Computer Science, Data Science, Machine Learning, or related technical fields with 5+ years of applied experience.
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.
Experience developing machine learning models using PySpark, scikit-learn, Keras, TensorFlow, PyTorch, etc.
Thorough understanding of CS fundamentals including data structures, algorithms, and complexity analysis.
Strong software development experience through hands-on coding.
Experience in formulating analytical problems into actionable research and applying advanced machine learning techniques for problem solving.
Career Level - IC4
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