Data Scientist 1

Oracle is an integrated cloud application and platform services company that sells a range of enterprise information technology solutions. As a Data Scientist at Oracle NetSuite, you will collaborate with various teams to turn raw ERP and CRM data into actionable intelligence, focusing on data engineering, analytics, and machine learning. Responsibilities: Domo Data Engineering: Build and optimize dataflows in Domo — including ETL logic, data joins, transformations, and scheduling — to feed dashboards and downstream analytics Python Analytics & ML: Write clean, reusable Python code for exploratory data analysis, statistical testing, and model development using libraries such as pandas, NumPy, scikit‑learn, and TensorFlow/PyTorch Model Validation & Deployment: Apply best practices for cross‑validation (including time‑series splits), performance monitoring, and version control; collaborate with IT/DevOps to deploy models where needed Dashboarding & Visualization: Design intuitive Domo cards and dashboards that surface insights to sales reps, marketers, and executive leadership Stakeholder Engagement: Translate complex data analyses into clear, actionable recommendations; present results to both technical and non‑technical audiences Qualification: Bachelor's, Master's, or PhD in Data Science, Statistics, Computer Science, Engineering, or a related field 2+ years of hands‑on experience in data engineering and analytics, preferably in a SaaS or enterprise software environment Proven experience creating and maintaining Domo dataflows, coupled with strong SQL skills Proficiency in Python and core analytics/ML libraries (pandas, NumPy, scikit‑learn) Solid understanding of statistical methods, A/B testing, and data visualization best practices Excellent communication skills and a consultative mindset when working with business partners

Oracle is an integrated cloud application and platform services that sells a range of enterprise information technology solutions.