Senior Principal Applied Scientist

The SaaS Engineering, SaaS Decision Support team have built SDS, a platform providing SaaS Cloud Demand/Capacity Analytics, Utilization Forecasts, Cost Optimization and ML enhanced business insights. We have great data, dashboards, and several production ML Forecasts in place.  We are now at an exciting stage which will revolutionize how SaaS Capacity is managed and Cost is Optimized.  Come join us as we evolve our AI solutions:  from Predictive AI, Context Aware Agents, Action Agents to orchestration of multiple Reasoning Agents!

Career Level - IC5

Responsibilities:

• Lead ML Model Development: Lead the design, development and productionalization of advanced machine learning models for time series and anomaly detection. Responsible for optimizing models to enhance precision, ensuring high performance, accuracy and reliability. 
  • Use machine learning, data mining, statistical techniques, and others to create actionable, meaningful, and scalable solutions that drive Cloud Capacity Management and Cost Optimization.
• Lead AI development from Context Aware Agents, Action Agents to Reasoning Agents, with Multi Agent Orchestration.  This will involve strategy and planning through several critical milestones across team of Applied Scientists, Data Engineers and Business Stakeholders.  This is a hands on role, requiring coding, testing, delivery and ongoing maintenance and training for solutions in production, as well as fostering business partnership and accountability every step of the way.
• Provide proactive leadership, demonstrating self-sufficiency, influencing and team building skills while creating and socializing innovative machine learning and AI solutions.
  • Mentor and collaborate with other Applied Scientists and Engineers for continuous improvement with best practices and tools for machine learning, model development, and AI agentic frameworks. 
  • Collaborate closely with data engineers to integrate models into production and ensure continuous monitoring and improvement of productionalized models and MLOps processes.  Validate that data in SDS is relevant, trustworthy and actionable and ensure SDS provides required data and level of granularity for advanced Machine Learning and AI solutions.
• Work closely with business teams to understand business requirements and proactively provide new data science driven insights and AI solutions. 
  • Address business/customer problems and questions using statistical and data science techniques to achieve business goals and KPI's. Provide actionable insights from models to senior leadership and stakeholders.
  • Perform ad hoc and in-depth analyses and then surface/report insights through dashboards & visualizations. Experience with Analytic tools such as Oracle Analytics Cloud (OAC) or Tableau.
  • Ensure thorough documentation of models and AI development from Business Problem through to design, implementation, and Business impacts of results. 

Requirements

• Extensive Experience: 6-10+ years of experience in machine learning, with a strong focus on developing and deploying machine learning models in production environments, preferably in a large industry cloud environment.
• Educational Background: Advanced degree (Ph.D. or Masters) in Computer Science, Machine Learning, Data Science, or a related field. Relevant degrees or certifications in machine learning or AI are a plus. Ph.D with minimum of 6 years experience, Masters with minimum of 10 years experience required.
• Technical Expertise: Strong expertise in Reporting tools, SQL, Python and deep learning frameworks such as PyTorch and TensorFlow. 
  • Extensive experience with time-series data, forecasting, clustering, anomaly detection, feature engineering, and model optimization techniques.
  • AI and AI Agent Frameworks: Knowledge and hands-on experience with AI and AI agent frameworks, particularly OCI Generative AI Agents - Agent Development Kit (ADK) is a plus. Proven ability to develop and deploy autonomous AI Agents in real-world large industry cloud applications.
  • Preferred experience with Oracle suite of Cloud products and services including Oracle Autonomous Database (ADB-S), Oracle Analytics Cloud (OAC), Grafana, Oracle Data Science Service, OCI Generative AI Agents - Agent Development Kit (ADK)
• Cloud Environments: Experience with cloud services (AWS, Azure, Oracle Cloud Infrastructure) with a proven track record of deploying machine learning models in a cloud environment. 
  • Preferred experience working with OCI Oracle Cloud Infrastructure or large industry cloud environment, with an understanding of SaaS services, observability and DevOps. 
  • Experience with Cloud SaaS Service Capacity Planning, Management and Cost Optimization is a plus.
• Problem-Solving Skills: Excellent problem-solving skills, with the ability to identify and address potential issues proactively. Experience in troubleshooting and optimizing machine learning models, systems and data quality issues.
• Business and Leadership Skills: Proven leadership skills with a track record of collaboration,  strong communication and influencing skills both within team and across organizations, including presenting complex technical concepts to non-technical stakeholders or executives. Expert business skills to engage and understand business problems and priorities, then explain how AI or Data Science solutions provide impactful business insights.
• Adaptability: Ability to thrive in a fast-paced, dynamic environment, managing multiple tasks and projects simultaneously. Eagerness to continuously learn and adapt to new technologies and methodologies.

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

CA: Hiring Range in CAD from: $101,300 to $221,300 per annum.
US: Hiring Range in USD from: $139,400 to $291,800 per annum. May be eligible for bonus, equity, and compensation deferral.

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.

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.

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