1

Oracle Data Science Jobs (NOW HIRING)

The Director, Data Science will lead efforts across personalization, recommendation systems, and ... databases (Oracle), NoSQL/graph databases (MongoDB), vector databases (Pinecone, Weaviate ...

The Director, Data Science will lead efforts across personalization, recommendation systems, and ... databases (Oracle), NoSQL/graph databases (MongoDB), vector databases (Pinecone, Weaviate ...

The Director, Data Science will lead efforts across personalization, recommendation systems, and ... databases (Oracle), NoSQL/graph databases (MongoDB), vector databases (Pinecone, Weaviate ...

The Director, Data Science will lead efforts across personalization, recommendation systems, and ... databases (Oracle), NoSQL/graph databases (MongoDB), vector databases (Pinecone, Weaviate ...

Oracle Data Architect Chicago, IL 6-12+ months Need Locals MUST HAVE a financial background ... Computer Science or related discipline is preferred. Professional Experience Experience with ...

Principal Data Engineer

Durham, NC · On-site

$110K - $132K/yr

Performs applications database administration (Oracle) services including SQL code review ... Bachelor's degree in Computer Science, Applied Computer Science, Engineering, Information ...

Principal Data Engineer

Durham, NC · On-site

$110K - $132K/yr

Performs applications database administration (Oracle) services including SQL code review ... Bachelor's degree in Computer Science, Applied Computer Science, Engineering, Information ...

next page

Showing results 1-20

Oracle Data Science information

See salary details

$10

$56

$82

How much do oracle data science jobs pay per hour?

As of Jul 21, 2026, the average hourly pay for oracle data science in the United States is $56.99, according to ZipRecruiter salary data. Most workers in this role earn between $48.80 and $66.35 per hour, depending on experience, location, and employer.

What is data science in Oracle?

Data science in Oracle involves analyzing large datasets using statistical methods, machine learning, and data visualization to extract insights and support decision-making. Oracle provides tools like Oracle Data Science Cloud and integrates with platforms such as Python and R for model development and deployment.

What are some common challenges Oracle Data Science professionals face when integrating machine learning models with enterprise databases?

Oracle Data Science professionals often encounter challenges related to data compatibility, scalability, and security when integrating machine learning models with enterprise databases. Ensuring that large, complex datasets are properly pre-processed and that models are efficiently deployed within Oracle's ecosystem can require close collaboration with database administrators and IT teams. Additionally, maintaining data privacy and compliance with organizational standards often requires careful planning and ongoing monitoring. Having a strong understanding of Oracle Cloud Infrastructure and its machine learning tools can greatly ease this integration process.

What is the difference between Oracle Data Science vs Data Analyst?

AspectOracle Data ScienceData Analyst
Required SkillsData modeling, machine learning, SQL, Python, RData interpretation, Excel, SQL, visualization tools
Work EnvironmentTech companies, data science teams, cloud platformsBusiness units, reporting teams, analytics departments
CertificationsOracle certifications, data science certificationsNone specific, often Excel or business analytics certifications

Oracle Data Science roles focus on developing machine learning models and advanced analytics using Oracle tools and cloud platforms. Data Analysts primarily interpret data, create reports, and support decision-making with visualization and basic analytics. While both roles require SQL and data handling skills, Oracle Data Science positions demand expertise in machine learning and programming, whereas Data Analysts focus on data reporting and business insights.

Is 40 too late for data science?

Age is not a barrier to becoming an Oracle Data Science professional. Many data scientists start their careers later in life, and skills such as programming, statistics, and machine learning can be developed at any age through online courses and certifications. Employers value experience and problem-solving ability over age, making it possible to enter the field at 40 or older.

What are the key skills and qualifications needed to thrive as an Oracle Data Science professional, and why are they important?

To thrive as an Oracle Data Science professional, you need expertise in statistical analysis, machine learning, data modeling, and typically a degree in computer science, statistics, or a related field. Familiarity with Oracle Cloud Infrastructure, Oracle Machine Learning tools, SQL, and relevant certifications such as Oracle Data Science Certification are highly valuable. Strong analytical thinking, problem-solving, and effective communication skills help you translate complex data insights into actionable business strategies. These skills ensure you can leverage Oracle's platforms to derive meaningful insights and drive data-informed decision-making for organizations.

What is the salary of data scientist in Oracle?

The salary of an Oracle Data Scientist typically ranges from $90,000 to $140,000 annually, depending on experience, location, and skill set. Senior roles or those with specialized skills in machine learning and data analysis may earn higher compensation. Benefits often include health insurance, bonuses, and professional development opportunities.

What is an Oracle Data Scientist?

An Oracle Data Scientist is a professional who uses Oracle's suite of data science tools and platforms to analyze large datasets, build predictive models, and provide data-driven insights for organizations. They leverage Oracle Cloud Infrastructure, Oracle Machine Learning, and other Oracle technologies to process, visualize, and interpret data. Their role often involves collaborating with business stakeholders to solve complex problems, automate processes, and support decision-making using advanced analytics and machine learning techniques.

Is IT hard to get a job at Oracle?

Securing an Oracle Data Science position can be competitive, requiring strong skills in data analysis, machine learning, and familiarity with tools like Python and SQL. Candidates often need relevant experience, certifications, or advanced degrees, and the hiring process may include technical interviews and assessments.
More about Oracle Data Science jobs
What cities are hiring for Oracle Data Science jobs? Cities with the most Oracle Data Science job openings:
What states have the most Oracle Data Science jobs? States with the most job openings for Oracle Data Science jobs include:
Infographic showing various Oracle Data Science job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $118,548 per year, or $57 per hour.
Senior Oracle DBA - Exadata Cloud@Customer)-[local to ohio]

Senior Oracle DBA - Exadata Cloud@Customer)-[local to ohio]

SmartIPlace

Columbus, OH • On-site

Contractor

Posted 12 days ago


Job description

Senior Oracle DBA – Exadata Cloud@Customer

Location: Columbus, OH (Remote with occasional onsite as needed; Local candidates preferred)
Duration: Long-Term Contract
Interview: Microsoft Teams/Webcam

Job Summary

The State of Ohio, Department of Job and Family Services (JFS), is seeking a highly experienced Senior Oracle Database Administrator (DBA) with deep expertise in Oracle Exadata Cloud@Customer (ExaCC) and Oracle Cloud@Customer environments.

The ideal candidate will be responsible for the administration, configuration, migration, performance tuning, high availability, disaster recovery, and operational support of enterprise Oracle database platforms supporting mission-critical applications. This role requires strong experience with Oracle Exadata infrastructure, Oracle RAC, Data Guard, RMAN, Oracle Enterprise Manager, Linux administration, and database modernization initiatives.

Work Schedule
  • Monday – Friday
  • 8–10 hours/day
  • Core business hours: 7:00 AM – 6:00 PM ET
  • Participation in an on-call rotation is required
Key ResponsibilitiesOracle Exadata Cloud@Customer Administration
  • Install, configure, administer, and support Oracle Exadata Cloud@Customer (ExaCC) environments.
  • Manage Oracle Cloud@Customer infrastructure, including compute, storage, networking, and database services.
  • Perform provisioning, patching, upgrades, and lifecycle management.
  • Coordinate with Oracle Support, infrastructure, networking, and security teams.
Oracle Database Administration
  • Administer Oracle databases across Development, QA, Staging, and Production environments.
  • Configure and support Oracle RAC, Oracle Enterprise Manager (OEM), Oracle Data Guard, and RMAN.
  • Monitor database performance, storage utilization, and system availability.
  • Troubleshoot complex database, cluster, and infrastructure issues.
  • Perform database performance tuning and capacity planning.
Database Migration & Modernization
  • Lead Oracle database migration projects from on-premises environments to Exadata Cloud@Customer.
  • Execute database upgrades, platform migrations, database consolidations, and cross-version upgrades.
  • Implement minimal-downtime migration strategies.
  • Validate database performance and stability following migration activities.
Disaster Recovery & High Availability
  • Design, implement, and maintain Disaster Recovery (DR) solutions using Oracle Data Guard.
  • Configure and manage DR environments for Oracle Exadata Cloud@Customer.
  • Conduct failover, failback, and disaster recovery testing.
  • Ensure business continuity and compliance with RTO/RPO objectives.
Required Qualifications
  • 10+ years of Oracle Database Administration experience in enterprise environments.
  • 3+ years of Oracle Exadata Cloud@Customer (ExaCC) administration.
  • 3+ years of Oracle Cloud@Customer infrastructure experience.
  • Strong hands-on experience with:
    • Oracle RAC
    • Oracle Data Guard
    • RMAN Backup & Recovery
    • Oracle Enterprise Manager (OEM)
  • Experience setting up and managing Disaster Recovery (DR) environments.
  • Experience migrating Oracle databases to Exadata or Cloud@Customer platforms.
  • Strong Linux/Unix administration and shell scripting skills.
  • Experience supporting Oracle Database 19c, 21AI, and newer enterprise releases.
  • Experience with Exadata X10/X11 platforms.
  • Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent technical experience).
Preferred Qualifications
  • Oracle GoldenGate experience.
  • Experience with Oracle ASM.
  • Expertise in performance tuning and database optimization.
  • Experience supporting highly available, mission-critical Oracle environments.
  • Strong analytical, troubleshooting, and problem-solving skills.
  • Excellent communication and collaboration skills.

Smart-iPlace logo

About Smart-iPlace

Sourced by ZipRecruiter

SMART-iPLACE provides innovative staffing and consulting solutions that help our clients achieve their business objectives. We can understand and support all areas of your IT systems from back-end infrastructure to front-end personal productivity. Our goal is create innovative IT solutions that enable your business to be more agile and competitive.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Irving, TX, US

Year founded

2021

Social media