Data Scientist 4

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

Description For Data Scientist 4

As a Principal Data Scientist at Oracle, you will play a crucial role in the Core Infrastructure Availability Engineering organization. The position involves designing, building, and maintaining data infrastructure that powers statistical analyses and machine learning efforts. You'll collaborate closely with data scientists, engineers, and stakeholders to develop scalable data pipelines that drive business value.

The role combines technical expertise in data science with leadership responsibilities, as you'll be expected to lead initiatives to improve reporting and insights delivery. Working with cutting-edge technologies and large-scale systems, you'll have the opportunity to impact critical infrastructure decisions through data-driven approaches.

Oracle offers a comprehensive benefits package including medical, dental, and vision insurance, 401(k) with company match, flexible vacation, and stock purchase options. The company maintains a strong commitment to work-life balance and professional development.

This position requires a blend of technical expertise in data science, software engineering principles, and leadership capabilities. You'll be working in a collaborative environment where you can apply your expertise in machine learning, statistical analysis, and data pipeline development while mentoring junior team members and driving best practices.

The role offers competitive compensation ranging from $109,200 to $223,400 annually, with additional benefits including bonus and equity opportunities. Join a world leader in cloud solutions where you can tackle challenging problems while working with industry-leading technologies and talented professionals.

Last updated 2 days ago

Responsibilities For Data Scientist 4

  • Design, build, and maintain large-scale data pipelines
  • Collaborate with data scientists and stakeholders
  • Create comprehensive data strategy
  • Conduct research to evaluate data and answer strategic business questions
  • Generate actionable insights through data transformation
  • Fine-tune and optimize algorithms and models
  • Develop and maintain data architectures
  • Work with cross-functional teams
  • Ensure data quality, integrity, and security
  • Develop and maintain metrics and monitoring
  • Champion software engineering and data science principles
  • Provide guidance and mentorship to junior data scientists

Requirements For Data Scientist 4

Python
Java
Scala
Kubernetes
  • BS in Data Science, Computer Science, Engineering, or related field
  • 8+ years of data science or software engineering experience
  • Expertise in data pipeline tools
  • Experience with data warehousing and data lake technologies
  • Strong programming skills in Python, Java, or Scala
  • Understanding of data structures and algorithms
  • Experience with containerization technologies
  • Strong understanding of data governance
  • Excellent communication and collaboration skills

Benefits For Data Scientist 4

Medical Insurance
Dental Insurance
Vision Insurance
401k
Parental Leave
Mental Health Assistance
  • Medical, dental, and vision insurance
  • Short term and long term disability
  • Life insurance and AD&D
  • Health care and dependent care Flexible Spending Accounts
  • 401(k) Savings with company match
  • Flexible Vacation
  • 11 paid holidays
  • Paid sick leave
  • Paid parental leave
  • Adoption assistance
  • Employee Stock Purchase Plan

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