Data Scientist 4, IC5, Oracle

February 12, 2026

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Job Description

Oracle is hiring a Data Scientist 4, IC5 for its Enterprise Performance Management (EPM) Intelligent Performance Management team. The role focuses on machine learning, predictive analytics, and advanced data science to deliver actionable business insights and financial forecasts. The position supports Oracle’s EPM cloud applications through high-impact, data-driven solutions.

Date Posted: January 30, 2026

Expiration Date: NA

Gender: NA

Qualification: MS / PhD / BA / BS or equivalent

Experience: 8–15+ Years

Job ID: 324973

Role: Individual Contributor (Career Level IC5)

Job Category: Business Practice and Operations

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Main Responsibilities

  • Creates data science solutions through design and development and system implementation to analyze extensive unstructured datasets which contain varied data types.
  • Works together with product and service teams to determine which questions need analysis and which experimental work needs to be done and which areas require improvement.
  • Creates algorithms which work together with automated pipelines to remove errors and link data from different sources while testing their accuracy.
  • Uses statistical analysis and machine learning and predictive modeling techniques to find important insights.
  • Present analytical results to product managers and business leaders and other stakeholders through clear communication of their findings.
  • Conduct comprehensive research on Oracle EPM applications to develop new predictive and advanced analytics functions.

Essential Qualifications

  • 8–15+ years of experience in data mining, data science, and advanced analytics.
  • Strong expertise in statistical analysis, hypothesis testing, predictive modeling, and machine learning.
  • Hands-on experience with time series analysis and forecasting models for financial and operational use cases.
  • Proficiency in Python for data analysis and model development.
  • Strong problem-solving abilities with excellent written and verbal communication skills.
  • Ability to work independently on complex, ambiguous data problems with minimal supervision.

Required Skills

  • Data Science
  • Machine Learning
  • Big Data
  • Data Mining
  • Python (Programming Language)
  • Statistical Modeling
  • Time Series Analysis
  • AI (Artificial Intelligence)

Preferred Skills

  • Experience with Java / J2EE technologies
  • Exposure to Big Data technologies and platforms
  • Experience with clustering, association rules, and decision tree algorithm
  • Knowledge of financial forecasting and enterprise analytics use cases