Lead Applied Data Scientist
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
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