Data Scientist 1

Description

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!

Responsibilities

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

Qualifications
Disclaimer:

Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.

Range and benefit information provided in this posting are specific to the stated locations only

US: Hiring Range in USD from $27.07 to $54.13 per hour; from: $56,300 to $112,600 per annum. May be eligible for equity.

Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle’s differing products, industries and lines of business.
Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.

Oracle US offers a comprehensive benefits package which includes the following:
1. Medical, dental, and vision insurance, including expert medical opinion
2. Short term disability and long term disability
3. Life insurance and AD&D
4. Supplemental life insurance (Employee/Spouse/Child)
5. Health care and dependent care Flexible Spending Accounts
6. Pre-tax commuter and parking benefits
7. 401(k) Savings and Investment Plan with company match
8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation.
9. 11 paid holidays
10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours.
11. Paid parental leave
12. Adoption assistance
13. Employee Stock Purchase Plan
14. Financial planning and group legal
15. Voluntary benefits including auto, homeowner and pet insurance

The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted.

Career Level - IC1