Sap Ariba ,Data Scientist

Role Overview: You will be responsible for coding, testing, and analyzing data to be used for creating an intelligent product. The Model Building Cycle will involve pulling, cleansing, and validating data for analysis and modeling. Your main task will be to create and implement predictive models for various business processes like payment risk, relationship discovery, categorization (unsupervised learning), and catalog optimization. You will collaborate with data scientists, developers, product managers, and engineering teams to deliver predictive models from concept to product. Additionally, you will work with software engineers to put predictive models into production and determine the tracking necessary to enable analytics of products and features.

Key Responsibilities: - Code, test, and analyze data for creating intelligent products. - Pull, cleanse, and validate data for analysis and modeling in the Model Building Cycle. - Create and implement predictive models for business processes such as payment risk, relationship discovery, and categorization. - Collaborate cross-functionally with data scientists, developers, product managers, and engineering teams. - Work with software engineers to deploy predictive models in production. - Determine necessary tracking for product and feature analytics.

Qualifications Required: - Strong coding skills and experience in data analysis. - Knowledge of building and implementing predictive models. - Ability to work collaboratively with cross-functional teams. - Experience with software engineering and production deployment. - Understanding of analytics tracking for products and features. Role Overview: You will be responsible for coding, testing, and analyzing data to be used for creating an intelligent product. The Model Building Cycle will involve pulling, cleansing, and validating data for analysis and modeling. Your main task will be to create and implement predictive models for various business processes like payment risk, relationship discovery, categorization (unsupervised learning), and catalog optimization. You will collaborate with data scientists, developers, product managers, and engineering teams to deliver predictive models from concept to product. Additionally, you will work with software engineers to put predictive models into production and determine the tracking necessary to enable analytics of products and features.

Key Responsibilities: - Code, test, and analyze data for creating intelligent products. - Pull, cleanse, and validate data for analysis and modeling in the Model Building Cycle. - Create and implement predictive models for business processes such as payment risk, relationship discovery, and categorization. - Collaborate cross-functionally with data scientists, developers, product managers, and engineering teams. - Work with software engineers to deploy predictive models in production. - Determine necessary tracking for product and feature analytics.

Qualifications Required: - Strong coding skills and experience in data analysis. - Knowledge of building and implementing predictive models. - Ability to work collaboratively with cross-functional teams. - Experience with software engineering and production deployment. - Understanding of analytics tracking for products and features.