Data Science Innovator

15 hours ago


GondrecourtleChâteau, Grand Est, United States Oracle Full time
Job Overview
Oracle is seeking a highly skilled Data Science Innovator to lead the development of sophisticated machine learning models for anomaly detection in system logs. This role requires a strong background in data science, machine learning, and predictive modeling.

About the Role
This is an exciting opportunity to join Oracle's 'SaaS Engineering' team and contribute to the development of a robust system using advanced ML/AI tools. As a Data Science Innovator, you will be responsible for designing and implementing machine learning models that can predict service failures and autonomously resolve issues before they impact cloud services.

Key Responsibilities
- Develop and implement sophisticated machine learning models for anomaly detection in system logs
- Conduct in-depth analysis of large-scale, time-series data to identify patterns and anomalies
- Utilize statistical methods and machine learning techniques to develop predictive models that can preemptively address potential issues

Requirements
- 8+ years of experience in data science with a strong focus on machine learning and predictive modeling
- Strong expertise in Python and R programming languages, with a deep understanding of machine learning algorithms such as LSTM, GRU, and Transformers
- Proven track record of working with large datasets and big data technologies, including Hadoop and Spark
- Excellent leadership skills with a proven ability to mentor and guide junior team members

Compensation and Benefits
The estimated salary for this role is $139,300 - $291,900 per annum, depending on location and experience. Oracle offers a comprehensive benefits package, including medical, dental, and vision insurance, short-term disability and long-term disability, life insurance, and AD&D, among others.

About Us
As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's problems. We're committed to expanding our inclusive workforce that promotes diverse insights and perspectives.

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