DATA SCIENCE / APPLICATION DEVELOPER

Key Responsibilities · NetSuite Development & Integration Design, program, and develop software on the NetSuite platform, including custom structures, scripts, searches, and reports.
Troubleshoot and resolve development issues, delivering final solutions according to project timelines.
Participate in the design and implementation of NetSuite integrations to support business intelligence, reporting, and analytics workflows.
Perform peer reviews and collaborate with team members to ensure quality and consistency across developed products.
Data Science & Analytics Develop and analyze data to generate insights that drive business performance and identify areas for improvement in efficiency and productivity.
Collaborate with cross-functional stakeholders and global team members to understand data requirements, ensure data quality, and pull necessary information from various systems.
Build and maintain data models, visualizations, and dashboards that support the decision-making process and process improvement initiatives.
Build and support machine learning to achieve high quality generative AI user experiences.
· Collaboration & Innovation Work closely with business process owners, IT teams, and other stakeholders to translate business needs into technical solutions.
Spearhead innovation by experimenting with and implementing new data science technologies and methodologies.
Train team members on data analytics techniques and document procedures to ensure scalability and repeatability.
Career Level - IC4 PreferredQualifications · Technical Skills o Bachelor’s or Master’s degree in Computer Science, Data Science, Data Analytics, Engineering, Artificial Intelligence, or a related field.
o 4+ years of experience in software development or technical implementation, preferably on the NetSuite platform.
Strong understanding of programming languages such as Java, JavaScript, and NetSuite SuiteScript.
Familiarity with data science tools and techniques (e.
., machine learning, AI, statistical analysis, data visualization).
Experience with metadata-driven architecture and role-based access control is a plus.
Data Science Expertise o 4+ years of data analytics that includes supporting business process and/or operational audits.
o Experience with data cleaning, preparation, and visualization for business insights and process improvements.
o Hands-on experience with machine learning models and data pipelines for real-time analytics and automation.
Experience in business process and/or operational audits supported by data analytics.
Proven ability to evaluate business processes, identify risks, and create technical solutions that meet business needs.
Experience in integrating data science models with enterprise systems like NetSuite.
· Collaboration & Communication o Excellent communication and interpersonal skills with experience working across global, cross-functional teams.
Strong presentation and communication skills (verbal and written) in English are critical.
Comfortable with gathering data requirements from all levels of the business and different business lines.
Ability to make decisions independently and drive technical direction based on business requirements.
o Strong organizational skills and the ability to manage multiple projects in different time zones.
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Disclaimer.
Oracle is an Equal Employment Opportunity Employer*.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law.
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