Oracle · 2 months ago
Consulting Data Scientist 4
Oracle is seeking a Consulting Data Scientist 4 to join their elite overlay consulting organization. This role involves solving complex challenges using Oracle’s AI and Gen AI applications, collaborating with data scientists and AI architects to develop scalable solutions that drive business value.
Data GovernanceData ManagementEnterprise SoftwareInformation TechnologySaaSSoftware
Qualification
Required
BS (or equivalent experience) in Data Science, Computer Science, Engineering, or related quantitative or technical field
8+ years of data science or software engineering experience
Expertise in data pipeline tools such as Apache Spark, Apache Beam, or Apache Flink
Experience with data warehousing and data lake technologies such as Oracle Object Storage, Apache Hadoop, Apache Hive, or Amazon Redshift
Strong programming skills in languages such as Python, Java, or Scala
Solid understanding of different data structures and algorithms to design and implement efficient and scalable data processing systems
Experience with containerization technologies such as Docker and Kubernetes
Experience analyzing data, generating insights, and telling stories with data
Strong understanding of data governance, data quality, and data security principles
Excellent communication and collaboration skills
Preferred
Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn
Experience with cloud-based data platforms such as OCI, AWS, GCP, or Azure
Experience with data visualization tools such as Oracle Analytics Cloud, Tableau, Power BI, or D3.js
Experience with agile development methodologies and version control systems such as Git or Bitbucket
Company
Oracle
Oracle is an integrated cloud application and platform services that sells a range of enterprise information technology solutions.
Funding
Current Stage
Public CompanyTotal Funding
$25.75BKey Investors
Sequoia Capital
2025-09-24Post Ipo Debt· $18B
2025-02-03Post Ipo Debt· $7.75B
1986-03-12IPO
Leadership Team
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