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In this role, you'll share your technical expertise, introduce best practices, and use tools like Closure, Scala, Python, and R to develop plans and leading major consulting assignments that include data analytics with machine learning and artificial intelligence.
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Proficient in tools and languages like Python, R, SQL, and machine learning libraries/frameworks. Expert in data analysis, machine learning, statistical modeling, and data manipulation.
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Technical Expertise: Strong expertise in Python and R programming languages, with a deep understanding of machine learning algorithms such as LSTM, GRU, and Transformers.
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Lead ML Model Development: Spearhead the development and implementation of sophisticated machine learning models specifically designed for anomaly detection in system logs. Extensive Experience: 8+ years of experience in data science, with a strong focus on machine learning and predictive modeling.
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Stay updated with the latest advancements in machine learning and artificial intelligence to integrate new methodologies into the project. Relevant certifications in machine learning or data science are a plus.
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Utilize statistical methods and machine learning techniques to develop predictive models that can preemptively address potential issues. Oracle Lead Applied Data Scientist - Pierre, South Dakota 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.
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Oracle Lead Applied Data Scientist Cheyenne, Wyoming Apply Now 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.
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Oracle Lead Applied Data Scientist - Santa Fe, New Mexico 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.
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Oracle Lead Applied Data Scientist - Salt Lake City, Utah 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.
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Oracle Lead Applied Data Scientist - Bismarck, North Dakota 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.
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Oracle Lead Applied Data Scientist - Columbia, South Carolina 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.
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Demonstrated ability to lead complex data science projects from conception to deployment. Strong communication skills to effectively collaborate with cross-functional teams and present complex technical information to non-technical stakeholders.
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Oracle Lead Applied Data Scientist in Frankfort, Kentucky Job Description. Proficiency in using libraries and frameworks like TensorFlow, PyTorch, and scikit-learn. The project combines the cutting-edge domains of anomaly detection and autonomous agents to enhance service resiliency.
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Unused balance will carry over each year up to a maximum cap of 112 hours. Big Data Proficiency: Proven track record of working with large datasets and big data technologies, including Hadoop and Spark.
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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. Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.
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