Data Scientist 4 - Principal Data Scientist

Ready to apply Before you do, make sure to read all the details pertaining to this job in the description below. 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 #J-18808-Ljbffr

Created: 2025-01-01