Scientist

Department: Development Location: Tunis Description Infor Decision Analytics and Science (IDeAS) is a division of Infor that provides AI/ML solutions for various industries. We use advanced predictive and prescriptive analytics to create value-driven solutions. Our goal is to enable fast and effective decision automation for all business functions. The Data Science Engineers in IDEAS are the brain behind every data-driven solution. This role relies on a combination of analytics and technical expertise to turn the data vision into reality. As a Data Science Engineer, you are responsible for designing, building, and operationalizing large-scale predictive and prescriptive analytics to solve business problems that are important to Infor customers. A Typical Day In The Life Includes A Day in The Life Typically Includes: - Design, build and set up end to end lifecycle of machine learning solutions, including ML model orchestration and data pipelines. - Design and Build ETL/ELT pipelines from customer data sources to support ML solutions requirements. - Lead discussions with business stakeholders to identify business challenges that can be solved with AI/ML. - Communicate the results and their implications to the business stakeholders. - Perform and review exploratory data analysis on large and complex datasets to assess data quality, extract, and share insights. - Design and build innovative and pragmatic solutions using the latest AI/ML technologies in different industries. - Review work of junior team members within a project. Basic Qualifications What You Will Need: - Engineering degree (or foreign equivalent) in Mathematical Modeling, Operations Research, Computer Science, Telecommunications, Electrical, Industrial or a related quantitative discipline from an accredited university. - Deep real-world experience in designing and implementing full machine learning and/or optimization solution pipelines, from ETL to data pre-processing, to quantitative data