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.
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The Construction and Engineering Global Business Unit (CEGBU) of Oracle is the world’s leading project and portfolio management software organization. Since 1983, we have provided the software foundation that enables all types of businesses to achieve excellence in managing their portfolios, programs, projects and resources. It is estimated that projects totaling more than $5 trillion in value have been managed with Primavera products. The development group in the Construction and Engineering Global Business Unit is focused on developing Next generation Enterprise level SaaS solutions for our customers in project intensive industries. Our applications provide project and portfolio management, Schedule Management, contract management, resource management, and risk management solutions used by large world leading companies in Construction and Heavy Engineering space.
We leverage an agile development methodology (Scrum) to facilitate the development of our products. Our development practices include empowered scrum teams, continuous build and integration, monthly sprint reviews, and a heavy emphasis on testing early and often. CEGBU offers a highly collaborative and dynamic environment, as well as a great mix of project management and software engineering opportunities. CEGBU values its employees and emphasizes training, keeping employees up to speed with the latest technologies. CEGBU provides flexible career paths for its employees and encourages promotions from within the company.
Job Description
As a Data Science engineer you will work closely with data evaluation, validation, and using that data to enhance product capabilities using data science. You will work our data sets to help make predictive, prescriptive, and adaptive machine learning models for our CEGBU products data. Languages used will be Python, and you will work in with the latest Oracle technologies in the areas of databases and machine learning.
Knowledge of SQL and Oracle databases is required. Ability to work in Python is required and previous experience building models in required. Strong engineering and data engineering background required.