Job Description

　　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 technologies such as text processing, information retrieval, natural language processing, generative AI and time series prediction.

　　As a member of the Data Science team, you will perform the following tasks

　　Understand background literature/relevant research papers in the problem domains

　　Processing, cleansing and verification of data (Data Engineering)

　　Perform Adhoc analysis and visualization of data

　　Develop machine learning models using pyspark, scikit-learn, keras, tensorflow, pytorch etc.

　　Work on data pipelines for deploying the machine learning models (e.g. using Oracle DataFlow)

　　Post deployment analysis of ML models

　　Good programming/software skills in Python/Pyspark and prior industrial experience in data science/machine learning is required for this position. Experience in creating/deploying models in Spark environments is desirable.

　　Responsibilities

　　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 technologies such as text processing, information retrieval, natural language processing, generative AI and time series prediction.

　　As a member of the Data Science team, you will perform the following tasks

　　Understand background literature/relevant research papers in the problem domains

　　Processing, cleansing and verification of data (Data Engineering)

　　Perform Adhoc analysis and visualization of data

　　Develop machine learning models using pyspark, scikit-learn, keras, tensorflow, pytorch etc.

　　Work on data pipelines for deploying the machine learning models (e.g. using Oracle DataFlow)

　　Post deployment analysis of ML models

　　Good programming/software skills in Python/Pyspark and prior industrial experience in data science/machine learning is required for this position. Experience in creating/deploying models in Spark environments is desirable.

　　About Us

　　An Oracle career can span industries, roles, Countries and cultures, giving you the opportunity to flourish in new roles and innovate, while blending work life in. Oracle has thrived through 40+ years of change by innovating and operating with integrity while delivering for the top companies in almost every industry.

　　In order to nurture the talent that makes this happen, we are committed to an inclusive culture that celebrates and values diverse insights and perspectives, a workforce that inspires thought leadership and innovation.

　　Oracle offers a highly competitive suite of Employee Benefits designed on the principles of parity, consistency, and affordability. The overall package includes certain core elements such as Medical, Life Insurance, access to Retirement Planning, and much more. We also encourage our employees to engage in the culture of giving back to the communities where we live and do business.

　　At Oracle, we believe that innovation starts with diversity and inclusion and to create the future we need talent from various backgrounds, perspectives, and abilities. We ensure that individuals with disabilities are provided reasonable accommodation to successfully participate in the job application, interview process, and in potential roles. to perform crucial job functions.

　　That’s why we’re committed to creating a workforce where all individuals can do their best work. It’s when everyone’s voice is heard and valued that we’re inspired to go beyond what’s been done before.

　　Oracle is an Equal Employment Opportunity Employer * . All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

　　* Which includes being a United States Affirmative Action Employer