Senior Data Scientist

3 weeks ago

Lincoln, Nebraska, United States Oracle Full time
About the Role

We are seeking a highly skilled Senior Data Scientist to join our SaaS Engineering team at Oracle. As a key member of our team, you will be responsible for developing and implementing sophisticated machine learning models for anomaly detection in system logs.

Key Responsibilities
  • Lead the development and implementation of machine learning models for anomaly detection, including selecting algorithms, designing model architecture, and ensuring robust model training and validation.
  • Conduct in-depth analysis of large-scale, time-series data to identify patterns and anomalies that can predict service failures, utilizing statistical methods and machine learning techniques.
  • 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 to align on project goals and deliverables.
  • Drive continuous innovation in feature engineering, model optimization, and the application of new technologies to enhance the accuracy and performance of predictive models.
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.
  • Proficiency in using libraries and frameworks like TensorFlow, PyTorch, and scikit-learn.
  • 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.
  • Strong analytical and problem-solving skills, with the ability to identify and address potential issues proactively.
About Us

Oracle is a world leader in cloud solutions, using tomorrow's technology to tackle today's problems. We are committed to expanding our inclusive workforce that promotes diverse insights and perspectives. We are an Equal Employment Opportunity Employer and welcome applications from qualified candidates without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, and protected veterans' status.

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