Data Scientist

Oracle

Oracle is looking for a Principal Data Scientist to enhance their data infrastructure and support strategic initiatives. This role involves collaborating with engineers and data scientists to develop scalable data solutions, driving reporting and analytics to the next level. Join a dynamic team at Oracle, leading efforts in data strategy and machine learning development.

In this role you can expect to have the responsibilities:

• Design and maintain large-scale data pipelines for statistical analyses and machine learning
• Collaborate with stakeholders to develop data solutions
• Create data strategy enabling reporting and analytics
• Conduct research to evaluate data for strategic business queries
• Generate insights through data transformation and analyses
• Optimize algorithms and models for scalability and reliability
• Maintain data architectures supporting data warehousing and governance
• Integrate data pipelines across cross-functional teams
• Ensure data quality and security
• Develop metrics and monitor data pipeline performance
• Mentor junior data scientists and promote best practices
• Stay updated with advancements in data science

This role comes with the following benefits:

This role requires you to have:

• BS in related quantitative or technical field
• 8+ years in data science or software engineering
• Expertise in data pipeline tools like Apache Spark
• Experience with data warehousing technologies
• Strong programming skills in Python, Java, or Scala
• Knowledge of data structures and algorithms
• Experience with Docker and Kubernetes
• Data analysis and insight generation
• Understanding of data governance and security
• Excellent communication and collaboration skills

You would benefit from having:

• Experience with TensorFlow or PyTorch
• Familiarity with cloud platforms like AWS or GCP
• Proficiency in data visualization tools like Tableau
• Experience with agile methodologies and Git