Oracle Corporation's 'SaaS Engineering' team is setting up an exciting new team to work on advances in service reliability with teams of autonomous AI agents. This initiative aims to develop a robust system using advanced ML/AI tools to analyze system logs, predict failures, and autonomously resolve issues before they impact cloud services. The project combines the cutting-edge domains of anomaly detection and autonomous agents to enhance service resiliency. This newly formed team will be crucial in driving innovation and ensuring the reliability of Oracle's cloud services, making significantcontributions to service uptime and customer satisfaction. 

Requirements: 

● Extensive Experience: 8+ years of experience in data science, with a strong focus on machine learning and predictive modeling. Demonstrated ability to lead complex data science projects from conception to deployment. 

● Technical Expertise: Strong expertise in Python and R programming languages, with a deep understanding of machine learning algorithms such as LSTM, GRU, and Transformers. Proficiency in using libraries and frameworks like TensorFlow, PyTorch, and scikit-learn. 

● Big Data Proficiency: Proven track record of working with large datasets and big data technologies, including Hadoop and Spark. Experience in handling and processing large-scale time-series data. 

● Leadership Skills: Excellent leadership skills with a proven ability to mentor and guide junior team members. Strong communication skills to effectively collaborate with cross-functional teams and present complex technical information to non-technical stakeholders.

 ���� Problem-Solving Ability: Strong analytical and problem-solving skills, with the ability to identify and address potential issues proactively. Experience in feature engineering, model tuning, and performance optimization. 

● Educational Background: Advanced degree (Ph.D. or Master's) in Computer Science, Data Science, Statistics, or a related field. Relevant certifications in machine learning or data science are a plus

Career Level - IC5

Responsibilities:

● Lead ML Model Development: Spearhead the development and implementation of sophisticated machine learning models specifically designed for anomaly detection in system logs. This includes selecting appropriate algorithms, designing model architecture, and ensuring robust model training and validation. 

● Data Analysis & Prediction: Conduct in-depth analysis of large-scale, time-series data to identify patterns and anomalies that can predict service failures. Utilize statistical methods and machine learning techniques to develop predictive models that can preemptively address potential issues. 

● Mentorship & Collaboration: Mentor junior data scientists, providing guidance on best practices in data science, model development, and problem-solving techniques. Foster a collaborative environment by working closely with cross-functional teams, including software engineers, product managers, and operations staff, to align on project goals and deliverables. 

● Innovation & Optimization: Drive continuous innovation in feature engineering, model optimization, and the application of new technologies to enhance the accuracy and performance of predictive models. Stay updated with the latest advancements in machine learning and artificial intelligence to integrate new methodologies into the project. 

● Reporting & Documentation: Ensure thorough documentation of model development processes, data analysis methodologies, and project outcomes. Regularly report on project progress, challenges, and achievements to senior leadership and stakeholders.

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: from $139,300 to $291,900 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.

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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. 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