Our Team:

The SaaS Engineering, Cloud Decision Support team is responsible for managing, forecasting and optimizing Oracle’s Cloud SaaS footprint and Costs on OCI (Oracle Cloud Infrastructure) and advising SaaS Engineering Leadership. We have built a SaaS Cloud Data Framework and Decision Support System (SDS) for SaaS Demand/Capacity Forecasting and Reporting, SaaS Service Performance and Monitoring, and Data Science enhanced business insights/operational triggers to manage SaaS Operational Services and budgets.  We are at an exciting stage where we are building automated, data science driven applications to optimize our SaaS Cloud environments, so now is the time to join us and make a difference in how Oracle proactively manages Cloud resources to support our SaaS customers!

We are searching for an experienced Data Scientist to:

• Use machine learning, data mining, statistical techniques, and others to create actionable, meaningful, and scalable solutions that optimize our investment in Cloud Capacity for SaaS while maintaining excellent availability of resources for our customers.
• Identify meaningful insights from complex data sources; interpret and communicate insights and findings to engineering teams and executive leadership.
• Collaborate with engineering to build pipelines and tools for data ingestion, feature engineering, model training, model deployment and improvement.
• Establish scalable, efficient, automated processes to boost team productivity, such as model development, model validation and model implementation.
• Lead highly visible projects to operationalize data science driven insights across the SaaS organization.

Career Level - IC4

Responsibilities:

• Work closely with business teams to understand business requirements and implement new data science driven insights.
• Work with our Data Engineers to validate that data in SDS is relevant, trustworthy and actionable and ensure SDS provides required data and level of granularity for advanced Data Science projects to augment Cloud applications and provide Management Insights.
• Design and implement algorithms, train models, and operationalize models to production for ingestion by other SaaS services and continuously improve models. Experience with optimizing Cloud Environments is preferred. Experience with Python is required.
• Design innovative predictive models, optimization models, experiments and model performance testing. 
• Address business/customer problems and questions using statistical and data science techniques to achieve business goals and KPI's. Come up with innovative solutions to address tradeoffs or challenges faced by teams. 
• Perform ad hoc and in-depth analyses and then surface/report insights through dashboards & visualizations. Experience with Analytics tools such as Oracle Analytics Cloud (OAC) or Tableau
• Provide proactive leadership, demonstrating self-sufficiency, influencing and team building skills while creating and socializing innovative data science driven solutions.
• Mentor team members, create a culture of learning, growth, and service mindset.

Requirements:

• Bachelors or Masters in Statistics, Applied Mathematics, Computer Science, Operations Research, Engineering, Economics, or a related field.
• 6+ years’ experience of analytics & applying data science for solving real-world problems in the high technology industry.
• Experience in querying and manipulating data for analysis — EDA, statistics, and visualizations.
• Experience with SQL and Database.
• Experience with data science programming languages such as Python, R.
• Experience with machine learning workflows in a production environment.
• Experience with data modeling, machine learning algorithms, optimization and data science techniques e.g., decision trees, SVM, neural network, time series, forecasting, classification, regression, clustering, cross validation, model evaluation.
• Preferred experience working with OCI Oracle Cloud Infrastructure or large industry cloud environment, with an understanding of SaaS services, telemetry and impacts of application environment behavior over time.
• Preferred experience with Oracle suite of Cloud products and services including Oracle Autonomous Data Warehouse (ADW), Oracle Analytics Cloud (OAC), Oracle Data Science Services.
• Work flexibility for attending late afternoon meetings with the US based team is expected.

As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s problems. True innovation starts with diverse perspectives and various abilities and backgrounds.

When everyone’s voice is heard, we’re inspired to go beyond what’s been done before. It’s why we’re committed to expanding our inclusive workforce that promotes diverse insights and perspectives.

We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity.

Oracle careers open the door to global opportunities where work-life balance flourishes. We offer a highly competitive suite of employee benefits designed on the principles of parity and consistency. We put our people first 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 calling +1 888 404 2494, option one.

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. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

* Which includes being a United States Affirmative Action Employer