Data Scientist 4 - Principal Data Scientist

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.