Data Scientist 3

A world leader in cloud solutions using tomorrow's technology to tackle today's problems.
Data
Mid-Level Software Engineer
In-Person
5,000+ Employees
3+ years of experience
AI · Enterprise SaaS

Description For Data Scientist 3

The data science team at Oracle Analytics is at the forefront of solving diverse data science and ML challenges in enterprise data. The role focuses on critical applications including invoice payment prediction, churn prediction, demand prediction, and recommender systems. The team leverages cutting-edge technologies including Generative AI (LLMs), text processing, information retrieval, natural language processing, and time series prediction.

As a Data Scientist 3, you'll be part of a dynamic team working on enterprise-scale problems. The position offers exposure to various domains within Oracle's vast ecosystem, including ERP, Supply Chain, HCM, and customer experience. You'll have the opportunity to work with modern tools and technologies while collaborating with cross-functional teams.

Oracle offers a competitive work environment with opportunities for growth and learning. The company is committed to diversity and inclusion, operating with integrity for over 40 years. They provide comprehensive benefits including medical, life insurance, and retirement options, along with programs for work-life balance and community involvement.

This role is perfect for candidates who are passionate about applying machine learning to solve real-world enterprise problems, have strong technical skills, and want to work with a leading technology company that values innovation and professional growth.

Last updated 5 days ago

Responsibilities For Data Scientist 3

  • Understand background literature/relevant research papers in problem domains
  • Process, cleanse and verify data (Data Engineering)
  • Perform Adhoc analysis and visualization of data
  • Develop machine learning models using pyspark, scikit-learn, keras, tensorflow, pytorch
  • Work on data pipelines for deploying machine learning models
  • Post deployment analysis of ML models
  • Interact with product and service teams to identify questions for data analysis
  • Develop and code software programs and algorithms to evaluate large datasets

Requirements For Data Scientist 3

Python
  • B.Tech or M.Tech degree
  • Good programming/software skills in Python/Pyspark
  • Prior industrial experience in data science/machine learning
  • Experience in creating/deploying models in Spark environments (desirable)
  • English language proficiency

Benefits For Data Scientist 3

Medical Insurance
Vision Insurance
Dental Insurance
  • Medical insurance coverage
  • Life insurance
  • Retirement options
  • Work-life balance programs
  • Volunteer programs

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