Oracle NetSuite's Data Science group is seeking a Data Scientist to join their team in transforming raw ERP and CRM data into actionable intelligence. This role combines data engineering, machine learning, and business analytics to drive impact across Sales, Marketing, and other key functions.
The position offers an exciting opportunity to work with enterprise-scale data using modern tools like Domo for data engineering and Python for advanced analytics. You'll be responsible for building and maintaining data pipelines, developing machine learning models, and creating intuitive dashboards that drive business decisions.
As a Data Scientist 1, you'll collaborate with cross-functional teams to identify key metrics, design experiments, and deliver data-driven insights. The role requires strong technical skills in Python, SQL, and statistical analysis, combined with the ability to communicate complex findings to both technical and business audiences.
The ideal candidate brings 2+ years of hands-on experience in data engineering and analytics, preferably in a SaaS environment. You should have a strong foundation in statistics and machine learning, with practical experience using tools like pandas, scikit-learn, and Domo.
Oracle NetSuite offers a comprehensive benefits package including competitive compensation, medical/dental/vision insurance, 401(k) matching, flexible vacation, and professional development opportunities. You'll join a collaborative team of data professionals working on mission-critical analytics that drive revenue growth and customer satisfaction.
The position provides exposure to rich enterprise datasets and industry-leading tools, with opportunities to impact key business decisions through data science. You'll work in a supportive environment that values both technical excellence and business impact, with clear paths for career growth and skill development.
This role is perfect for an analytical mind who enjoys solving complex problems with data and wants to work at the intersection of business and technology. You'll have the chance to apply cutting-edge machine learning techniques to real business challenges while working with a talented team at a leading enterprise software company.