Data Scientist 3

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 works on diverse data science/ML problems on enterprise data such as invoice payment prediction, churn prediction, demand prediction and recommender systems. We use a combination of technologies including text processing, information retrieval, natural language processing (including large language models) and time series prediction. The team focuses on developing and deploying machine learning solutions in a Spark environment.

As a member of the Data Science team, you'll work on cutting-edge ML problems, from understanding research papers to implementing and deploying models. You'll be responsible for the entire ML pipeline, from data engineering to model deployment using tools like PySpark, scikit-learn, and various deep learning frameworks.

Oracle offers a highly competitive benefits package and promotes work-life balance. The company is committed to diversity and inclusion, operating with integrity for over 40 years. As a world leader in cloud solutions, you'll be part of a team that uses tomorrow's technology to solve today's problems.

The role offers opportunities to work on enterprise-scale problems, collaborate with product teams, and impact business outcomes through data-driven solutions. You'll be part of a company that values innovation, diverse perspectives, and continuous learning. Oracle's global presence and comprehensive benefits make it an attractive place for data scientists looking to make a significant impact.

Last updated 5 days ago

Responsibilities For Data Scientist 3

  • Interact with product and service teams to identify questions and issues for data analysis and experiments
  • Develop and code software programs, algorithms and automated processes
  • Cleanse, integrate and evaluate large datasets from multiple disparate sources
  • Identify meaningful insights from large data and metadata sources
  • Interpret and communicate insights to product, service, and business managers
  • 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

Requirements For Data Scientist 3

Python
  • 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
  • Medical Insurance
  • Life Insurance
  • Retirement Benefits
  • Volunteer Programs

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