Principal Data Scientist @ Oracle

Job Description

About Oracle CrowdTwist Oracle CrowdTwist provides the most comprehensive omni-channel loyalty & analytics SaaS platform for industry leading brands. We have grown to a respected platform with hundreds of millions of users and billions of interactions. We are looking to write the next chapter in user growth and scale. We power the loyalty offerings for many of the worlds top brands such as Lego, Disney, Marvel Comics, Lenovo, etc. We're relaxed, expert, hard driving, changing our industry and looking for inquisitive people like yourself to help solve tough technical challenges. About the Opportunity We are seeking a talented Principal Data Scientist for our growing team based in Bengaluru, India. Our cloud-first SaaS platform leverages Oracle Cloud Infrastructure (OCI) to enable advanced analytics and machine learning. This is a highly MLOps-focused role requiring strong development skills to build and maintain data pipelines and models. As an IC, the Principal Data Scientist will. execute technically on MLOps implementations but also provide technical leadership on MLOps standard processes to other associates on the team. You will develop and maintain critical data pipelines for ETL and feature engineering to support models operationalized in our cloud environment. Though not a formal people manager role, you will contribute to optimizing MLOps workflows, modeling, and code across the team with your deep hands-on experience. Working in the cloud, youll leverage scalable, cloud-based analytics and data infrastructure. Quality, reproducibility, and model operationalization are very important. We're seeking a data science technical leader passionate about demonstrating the cloud to solve problems and deliver impactful analytics

Employement Category:

Employement Type: Full time
Industry: IT
Role Category: IT Services & Consulting
Functional Area: Not Applicable
Role/Responsibilies: Principal Data Scientist

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Keyskills:   Machine Learning ETL Analytics Data Science Data Scientist MLOps Data Pipelines Feature Engineering Cloud Infrastructure