Advanced Degree Data Scientist - Full-time Intern Conversion at Oracle Hong Kong

Position Advanced Degree Data Scientist - Full-time Intern Conversion
Posted 2025 September 24
Expired 2025 October 24
Company Oracle Hong Kong
Location United States | US
Job Type Full Time

Job Description:

Latest Job Information from Company Oracle Hong Kong as position Advanced Degree Data Scientist - Full-time Intern Conversion. If Job Vacancy Advanced Degree Data Scientist - Full-time Intern Conversion in United States matches your criteria, please send your latest application/CV directly through the latest and most updated job site Jobkos.

Every job may not be easy to apply for, because as a new candidate / prospective employee must meet several qualifications and requirements according to the criteria sought by the Company. Hopefully the career information from Oracle Hong Kong as the position Advanced Degree Data Scientist - Full-time Intern Conversion below matches your qualifications.

**This FTE conversion requisition is ONLY for 2025 Oracle PD interns to be rehired for full-time roles**Intended for students graduating with their Masters/PhD degree by, or have graduated within, 12 months of cohort start date in June/July 2026. Target Start Date: early-June or mid-July 2026

Designs, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions for client services and product enhancement.

Interacts with product and service teams to identify questions and issues for data analysis and experiments. Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources. Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers. 

Duties and tasks are standard with some variation. Completes own role largely independently within defined policies and procedures. 

Objective Minimum Qualifications:

To be considered for a Data Scientist position, the Objective Minimum Qualifications (OMQs) below must be met. Please ensure the application clearly indicates that you meet these OMQs. 

  • Have graduated with a Graduate degree in Computer Science, Engineering Management, Information Systems Management, Business Analytics, (or an equivalent science/engineering field) within 12 months of actual start date, no later than August 2026. 
  • Are proficient (e.g., can complete coding projects without any assistance) in at least one of the following programming languages: Java, C, C++, Python, SQL, JavaScript, R, PHP, Swift, Go, C#, Matlab, Julia, Kotlin
  • Have academic course work, projects, internships, and/or research experience in one or more of the following Computer Science areas:
    • Artificial Intelligence / Machine Learning / Natural Language Processing
    • Big Data / Data Structures / Algorithms
    • Cloud Computing
    • Computer Systems / Distributed Systems /Embedded Systems / Operating Systems
    • Database Systems/Design
    • Object Oriented Design
    • Web/Mobile Development
    • User Interface Design
  • Attend a university in the US.
  • Authorized to work in the US in 2026.

Preferred Qualifications:

  • Minimum 3.0 GPA

As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's challenges. We've partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. 

We know that true innovation starts when everyone is empowered to contribute. That's why we're committed to growing an inclusive workforce that promotes opportunities for all.

Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.

We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing 

***************@oracle.com or by calling +1 888 404 2494 in the United States.

Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law. 

Interacts with product and service teams to identify questions and issues for data analysis and experiments. Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources. Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers.

Disclaimer:

Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.

Range and benefit information provided in this posting are specific to the stated locations only

US: Hiring Range in USD from: $69,000 to $158,200 per annum. May be eligible for bonus and equity.

Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business.Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.

Oracle US offers a comprehensive benefits package which includes the following:1. Medical, dental, and vision insurance, including expert medical opinion2. Short term disability and long term disability3. Life insurance and AD&D4. Supplemental life insurance (Employee/Spouse/Child)5. Health care and dependent care Flexible Spending Accounts6. Pre-tax commuter and parking benefits7. 401(k) Savings and Investment Plan with company match8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation.9. 11 paid holidays10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours.11. Paid parental leave12. Adoption assistance13. Employee Stock Purchase Plan14. Financial planning and group legal15. Voluntary benefits including auto, homeowner and pet insurance

The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted.

Career Level - IC2

Job Info:

  • Company: Oracle Hong Kong
  • Position: Advanced Degree Data Scientist - Full-time Intern Conversion
  • Work Location: United States
  • Country: US

How to Submit an Application:

After reading and understanding the criteria and minimum qualification requirements explained in the job information Advanced Degree Data Scientist - Full-time Intern Conversion at the office United States above, immediately complete the job application files such as a job application letter, CV, photocopy of diploma, transcript, and other supplements as explained above. Submit via the Next Page link below.

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