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Data Scientist 4

A world leader in cloud solutions, using tomorrow's technology to tackle today's challenges. Partner with industry-leaders in almost every sector for over 40+ years.
$109,200 - $223,400
Data
Staff Software Engineer
In-Person
5,000+ Employees
8+ years of experience
AI · Enterprise SaaS
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Description For Data Scientist 4

As a Principal Data Scientist at Oracle, you will play a key role in designing, building, and maintaining the data infrastructure that powers statistical analyses and machine learning efforts for the Core Infrastructure Availability Engineering organization. This IC4 level position offers a competitive salary range of $109,200 to $223,400 per annum, with potential for bonus and equity.

You will work closely with data scientists, engineers, and other stakeholders to develop and deploy scalable, efficient, and reliable data pipelines that drive business value. The role involves leading initiatives to improve, deliver, and enable reporting and insights through sophisticated data analysis and machine learning implementations.

The position requires 8+ years of data science or software engineering experience, with expertise in data pipeline tools, warehousing technologies, and programming languages like Python, Java, or Scala. You'll be responsible for designing large-scale data pipelines, conducting research, generating actionable insights, and optimizing algorithms for performance.

Oracle offers comprehensive benefits including medical, dental, and vision insurance, 401(k) with company match, flexible vacation, paid parental leave, and professional development opportunities. The company maintains a strong commitment to work-life balance and promotes an inclusive workplace environment.

This role presents an excellent opportunity for an experienced data scientist to make significant impacts on Oracle's data infrastructure while working with cutting-edge technologies and leading cross-functional teams.

Last updated 2 months ago

Responsibilities For Data Scientist 4

  • Design, build, and maintain large-scale data pipelines
  • Collaborate with stakeholders to understand and meet data needs
  • Create comprehensive data strategy for reporting and analytics
  • Conduct research to evaluate data and answer strategic business questions
  • Generate actionable insights through data transformation and analysis
  • Fine-tune and optimize algorithms and models
  • Develop and maintain data architectures
  • Ensure data quality, integrity, and security
  • Provide guidance and mentorship to junior data scientists
  • Stay up-to-date with latest developments in machine learning and data science

Requirements For Data Scientist 4

Python
Java
Kubernetes
  • BS (or equivalent experience) in Data Science, Computer Science, Engineering, or related quantitative field
  • 8+ years of data science or software engineering experience
  • Expertise in data pipeline tools (Apache Spark, Apache Beam, Apache Flink)
  • Strong programming skills in Python, Java, or Scala
  • Experience with data warehousing and data lake technologies
  • Experience with containerization technologies (Docker, Kubernetes)
  • Strong understanding of data governance and security principles
  • Excellent communication and collaboration skills