About the Team
Oracle NetSuite’s Data Science group empowers internal stakeholders—Sales, Marketing, Customer Success, Finance, and more—by turning raw ERP and CRM data into actionable intelligence. We leverage the Domo platform for data ingestion and transformation, and Python for advanced analytics, predictive modeling, and AI initiatives.

Role Overview
As a Data Scientist at Oracle NetSuite, you will:

Collaborate with Sales, Marketing, and cross‑functional teams to identify key metrics, design experiments, and prioritize analytics projects Architect and maintain Domo dataflows to unify data from NetSuite ERP, CRM, and third‑party sources Develop Python scripts and workflows for data preprocessing, feature engineering, and visualization Prototype, validate, and productionize machine learning models (e.g., lead scoring, churn prediction, customer segmentation) Communicate findings via dashboards and reports, enabling business users to make data‑driven decisions

Key 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

Required Qualifications

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

Preferred Skills

Experience with cloud platforms (OCI, AWS, GCP) and containerization tools (Docker, Kubernetes) Familiarity with advanced ML and AI frameworks (TensorFlow, PyTorch, XGBoost) Background in CRM/ERP data structures, Salesforce, or NetSuite experience Knowledge of marketing automation tools and sales enablement platforms Hands‑on experience with REST APIs and data integration techniques

Why Oracle NetSuite?

Impact mission‑critical analytics that drive revenue growth and customer satisfaction Work in a collaborative, fast‑paced environment alongside domain experts and data professionals Leverage industry‑leading tools (Domo, Python, OCI) and access to rich enterprise datasets Enjoy competitive compensation, flexible schedules, and top‑tier professional development opportunities

Ready to turn data into competitive advantage? Apply today to join Oracle NetSuite’s Data Science team!