Job Description

Designs, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse \xe2\x80\x9cbig data\xe2\x80\x9d sources to generate actionable insights and solutions for client services and product enhancement.

Interacts with product and service teams to identify questions and issues for data analysis and experiments. Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources. Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers.

Duties and tasks are standard with some variation. Completes own role largely independently within defined policies and procedures. 2 years relevant experience and BA/BS degree preferred.

As a world leader in cloud solutions, Oracle uses tomorrow\xe2\x80\x99s technology to tackle today\xe2\x80\x99s problems. True innovation starts with diverse perspectives and various abilities and backgrounds. When everyone\xe2\x80\x99s voice is heard, we\xe2\x80\x99re inspired to go beyond what\xe2\x80\x99s been done before. It\xe2\x80\x99s why we\xe2\x80\x99re committed to expanding our inclusive workforce that promotes diverse insights and perspectives. We\xe2\x80\x99ve partnered with industry-leaders in almost every sector\xe2\x80\x94and continue to thrive after 40+ years of change by operating with integrity. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer a highly competitive suite of employee benefits designed on the principles of parity and consistency. We put our people first with flexible medical, life insurance and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We\xe2\x80\x99re committed to including people with disabilities at all stages of the employment process. If you would like accessibility assistance or accommodation for a disability at any point, let us know at +91-XXXXXXXXXX, Option 1. Disclaimer: Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates. 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\xe2\x80\x99 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

About NetSuite:
Oracle NetSuite is one of the fastest-growing global ERP SaaS providers serving tens of thousands of large and rapidly rising firms in the US, Europe, APAC, and around the world.
About the Team:
We are a cross-functional Data Science team within the NetSuite Machine Learning program organization, focusing on building AI models and working closely with internal/client-facing product teams. We are looking for an experienced research scientist with excellent problem-solving skills and a passion for applying AI techniques to problems in different domains.
Work/Life Balance: Our team puts a high value on work-life balance. It isn\xe2\x80\x99t about how many hours you spend at work, but it\xe2\x80\x99s about the impact you have on the business. We emphasize striking the right balance between your personal and professional life.
Responsibilities:

• Work in a multi-disciplinary, product focussed, cross-functional team to deliver business value from artificial intelligence technologies
• Leverage Machine Learning to understand customer needs and identify opportunities to elevate NetSuite\xe2\x80\x99s product experience, and create compelling data stories that drive action
• Transform complex data into business insights and solutions by using the latest technology in machine learning, pattern recognition, text mining, and parallel/distributed computing
• Work on multiple stages of data science projects, including data pipeline, aggregation, feature engineering, modeling, and visualization
• Interact with product and service teams to identify questions and issues for data analysis and experiments to develop/apply algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources
• Collaborate with domain experts and other data scientists on Machine Learning solutions to build an appropriate algorithm for specific Machine Learning solvable problems
• Familiarize with the Machine Learning data repository and become a NetSuite data expert to guide product teams in using our data service
  

Basic Qualifications:

• Ph.D. or equivalent Master\xe2\x80\x99s degree, plus 3+ years of industry experience in the Machine Learning domain
• Experience applying scientific principles and concepts to business problems and products
• Strong understanding of Machine Learning concepts
• Basic understanding of SQL
• Track record of developing and implementing Machine Learning models using programming (preferably Python)
  

Preferred Qualifications:

• Practical experiences in one the following: NLP, Outlier detection, classification, time series forecasting, record linkage, survival analysis
• Experience in algorithm design, code optimization, and data structures
• Experience in distributed processing environments, frameworks, and libraries (PySpark, Ray, Dask, CUDA, others)

About NetSuite:
Oracle NetSuite is one of the fastest-growing global ERP SaaS providers serving tens of thousands of large and rapidly rising firms in the US, Europe, APAC, and around the world.
About the Team:
We are a cross-functional Data Science team within the NetSuite Machine Learning program organization, focusing on building AI models and working closely with internal/client-facing product teams. We are looking for an experienced research scientist with excellent problem-solving skills and a passion for applying AI techniques to problems in different domains.
Work/Life Balance: Our team puts a high value on work-life balance. It isn\xe2\x80\x99t about how many hours you spend at work, but it\xe2\x80\x99s about the impact you have on the business. We emphasize striking the right balance between your personal and professional life.
Responsibilities:

• Work in a multi-disciplinary, product focussed, cross-functional team to deliver business value from artificial intelligence technologies
• Leverage Machine Learning to understand customer needs and identify opportunities to elevate NetSuite\xe2\x80\x99s product experience, and create compelling data stories that drive action
• Transform complex data into business insights and solutions by using the latest technology in machine learning, pattern recognition, text mining, and parallel/distributed computing
• Work on multiple stages of data science projects, including data pipeline, aggregation, feature engineering, modeling, and visualization
• Interact with product and service teams to identify questions and issues for data analysis and experiments to develop/apply algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources
• Collaborate with domain experts and other data scientists on Machine Learning solutions to build an appropriate algorithm for specific Machine Learning solvable problems
• Familiarize with the Machine Learning data repository and become a NetSuite data expert to guide product teams in using our data service
  

Basic Qualifications:

• Ph.D. or equivalent Master\xe2\x80\x99s degree, plus 3+ years of industry experience in the Machine Learning domain
• Experience applying scientific principles and concepts to business problems and products
• Strong understanding of Machine Learning concepts
• Basic understanding of SQL
• Track record of developing and implementing Machine Learning models using programming (preferably Python)
  

Preferred Qualifications:

• Practical experiences in one the following: NLP, Outlier detection, classification, time series forecasting, record linkage, survival analysis
• Experience in algorithm design, code optimization, and data structures
• Experience in distributed processing environments, frameworks, and libraries (PySpark, Ray, Dask, CUDA, others)