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