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Job 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:
Responsibilities
Required 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 - $54.13 per hour; from: $56,300 - $112,600 per year. 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:
Career Level - IC1
About Us
As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity.
We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all.
Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.
We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing [email protected] or by calling +1 888 404 2494 in the United States.
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. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.
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
- 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
- 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
- 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
- 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
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
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 - $54.13 per hour; from: $56,300 - $112,600 per year. 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:
- Medical, dental, and vision insurance, including expert medical opinion
- Short term disability and long term disability
- Life insurance and AD&D
- Supplemental life insurance (Employee/Spouse/Child)
- Health care and dependent care Flexible Spending Accounts
- Pre-tax commuter and parking benefits
- 401(k) Savings and Investment Plan with company match
- 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.
- 11 paid holidays
- 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.
- Paid parental leave
- Adoption assistance
- Employee Stock Purchase Plan
- Financial planning and group legal
- Voluntary benefits including auto, homeowner and pet insurance
Career Level - IC1
About Us
As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity.
We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all.
Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.
We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing [email protected] or by calling +1 888 404 2494 in the United States.
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. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.
Key Skills
Ranked by relevance
python
pandas
numpy
data visualization
oracle
cloud
saas
sql
crm
ai
containerization
machine learning
data structures
data analysis
salesforce
tensorflow
pytorch
docker
aws
gcp
etl
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- Posted
- May 15, 2025
- Type
- Full-time
- Level
- Mid-Senior
- Location
- United States
- Company
- Oracle
Industries
IT Services
IT Consulting
Categories
Engineering
Information Technology
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