Data Scientist 4

A world leader in cloud solutions using tomorrow's technology to tackle today's problems.
$109,200 - $223,400
Data
Principal Software Engineer
In-Person
5,000+ Employees
8+ years of experience
Enterprise SaaS
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Description For Data Scientist 4

As a Principal Data Scientist at Oracle, you will be a key player in the Core Infrastructure Availability Engineering organization, focusing on designing, building, and maintaining sophisticated data infrastructure that powers statistical analyses and machine learning initiatives. This role combines technical expertise with leadership, requiring you to work closely with data scientists, engineers, and stakeholders to develop scalable data pipelines that drive business value.

The position offers a competitive salary range of $109,200 to $223,400 per annum, along with comprehensive benefits including medical, dental, vision insurance, 401(k) with company match, and flexible vacation policy. Located in Seattle, WA, this role requires 8+ years of experience in data science or software engineering, with expertise in data pipeline tools, warehousing technologies, and programming languages like Python, Java, or Scala.

You'll be responsible for creating comprehensive data strategies, generating actionable insights, and ensuring data quality across systems. The role involves mentoring junior data scientists and staying current with the latest developments in machine learning and statistics. Oracle's position as a world leader in cloud solutions offers an opportunity to work with cutting-edge technology and tackle significant challenges.

Working at Oracle means joining a diverse workforce that promotes various insights and perspectives. The company has maintained its leadership position for over 40 years by operating with integrity and continues to partner with industry leaders across sectors. This role offers an excellent opportunity for someone passionate about data science who wants to make a significant impact while working with enterprise-scale systems and advanced technologies.

Last updated a month 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
  • Strong understanding of data structures and algorithms
  • Experience with containerization technologies
  • Experience analyzing data and generating insights
  • Strong understanding of data governance
  • Excellent communication and collaboration skills

Benefits For Data Scientist 4

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

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