Oracle · 4 months ago
Data Scientist
Oracle is a leading technology company, and they are seeking a Senior Data Scientist to join their Core Infrastructure Availability Engineering organization. In this role, you will design, build, and maintain data infrastructure while collaborating with various stakeholders to develop scalable data pipelines that drive business value and improve reporting and insights.
Data GovernanceData ManagementEnterprise SoftwareInformation TechnologySaaSSoftware
Responsibilities
Design, build, and maintain large-scale data pipelines that support statistical analyses and machine learning model training, testing, and deployment
Collaborate with data scientists and other stakeholders to understand data needs and develop solutions that meet those needs
Create comprehensive data strategy to enable reporting, analytics, and machine learning
Conduct research to evaluate data and answer strategic business questions
Generate actionable insights and enable reporting through data transformation, statistical analyses, or machine learning methods
Fine-tune and optimize algorithms and models to ensure scalability, reliability, and performance at a high level
Develop and maintain data architectures that support data warehousing, data lakes, and data governance
Work with cross-functional teams to integrate data pipelines
Ensure data quality, integrity, and security across all data pipelines and systems
Develop and maintain metrics and monitoring to ensure data pipeline performance and reliability
Champion software engineering and data science principles
Provide guidance and mentorship to junior data scientists, contributing to team knowledge and best practices
Stay up-to-date with the latest developments in machine learning, statistics, and data science, applying new techniques to improve processes and products
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.
H1B Sponsorship
Oracle has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1271)
2024 (846)
2023 (995)
2022 (1192)
2021 (985)
2020 (755)
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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