Oracle

Data Scientist 3

Posted On

April 15, 2024

Location

Bengaluru, Karnataka

Experience Level

Professional

Job Type

Permanent

Apply By

July 1, 2024

Job Description

The Oracle CX Marketing team is building a new product leveraging Oracle Fusion, focusing on data management, powered by an AI based segment builder/explorer and analytical dashboards to enable marketers take advantage of single 360 view of the customer profile, transactional and behavioral data. The team is responsible for maintaining and upkeeping the data to provide the latest focused customer audience for marketers to leverage and to deliver real-time personalised content and recommendations. Combining this product with Oracle’s Marketing product suite, e.g. Responsys and Eloqua, provides the Oracle’s customer with a world class end-to-end solution for their B2C and B2B marketing needs.

What Fires YOU up?

The Unity product and team is new, so you will have the opportunity to play a ground floor and early foundational and technical role for the team and organization.You should come prepared to learn a lot and to help define and drive initiatives in a strong team that is helping Oracle become the #1 product organisation the world.The ideal candidate has immense data science experience and brings in high engineering standards with sophisticated data science capabilities.

Prerequisites

MS/PhD in AI/ML/Statistics or related field emphasizing superior AI/ML skills.
Strong knowledge of Python; Java and Scala nice to have.
Enthusiastic self-starter with 5-7+ years industry experience as an AI/ML enginee delivering software as a service in a modern DevSecOps culture
Knowledge of microservice architecture – Docker/Kubernetes
Deep understanding of AI/ML domain and ability to recommend right approach to a problem.
Cloud development experience (e.g.: AWS, OCI, etc.)
Exposure to big data platforms, databases, and AI/ML cloud platforms.
Ability to develop RESTful APIs to serve machine learning models in production using Flask, Django/or any other relevant tools
Ability to build scalable containerized applications/microservices using Docker and Kubernetes
Ensure production security standards are followed
Ensure monitoring is robust and effective
Zero downtime deployments and a high availability mindset
Mandatory knowledge of Agile development practises.

Nice to haves:

Good to have experience in differential privacy/Advanced ML/Deep Learning techniques.
Nice to have experience in CX, Adtech or Marketing.
Experience in end-to-end ownership of Machine Learning pipelines -- from data pipelines to the real time prediction engine.
Experience in Capacity planning for AI/ML Stack and communicating the same to leadership for costing of Hardware requests
Knowledge of Object Oriented Design principles; extra credits for working knowledge of Java
Strong systems architecture skills
Strong grasp of security and in managing untrusted modelling source codes
Strong scripting skills; Linux administration and Python;
Strong grasp of automation
Some knowledge of system configuration tools such as Chef,Terraform GIT, Jenkins/Hudson, Artifactory, Oracle Tech Stack, e.g. Java, Weblogic, OracleDB knowledge
Continuous Integration development/deployment
Big data applications: Hadoop, Solar, Kafka

Career Level - IC3

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