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Machine Learning & Data Engineer - Consultant
ArcadisIasi, Moldavia, RomaniaÎn urmă cu peste 30 de zile
Descrierea postuluiCollaborate with Global Project Analytics Director, and the Global Project Management and Execution Director to design, build and operate an Project Analytics Engine Collaborates with the Arcadis BI team to continue to build out the suite of dashboards for project performance monitoring globally. Collaborate with GBA Project Delivery & Performance Directors and BA Project Delivery & Performance Director on data and business needs. Collaborate with Tech function Data and Platform vertical to align with CDE requirements. Collaborate with Oracle and other ERP (Deltek Vision, BST) leads to develop seamless data interface. Collaborate with Growth and Finance stakeholder on data access and data transformation. The preferred candidate should be able to demonstrate strong working knowledge of developing descriptive and predicative models. The candidate should have hands on experience analyzing structured and non structured data to derive statistical inferences. The candidate should have good understanding of cloud-based computing, systems integration, data visualization and User interface development. The candidate should be comfortable working in ambiguous environment and able to clearly communicate and work with senior leadership. Breadth of experience : The preferred candidate should have exposure to deal with data from various industries, preferably on business performance management. Data and technology : Adopting data-driven decision making, leveraging data to create and demonstrate value. Tech savvy and comfortable and curious about technologies. Knowledge of data science, data engineering with Python, R or equivalent programming tool.
Arcadis is the world's leading company delivering sustainable design, engineering, and consultancy solutions for natural and built assets.
We are more than 36, people, in over 70 countries, dedicated to improving quality of life. Everyone has an important role to play. With the power of many curious minds, together we can solve the worlds most complex challenges and deliver more impact together.
Role accountabilities :
Individual accountabilities
- Data preparation solution architecture and Systems Integration
- Understand business requirements specifically on Project performance & Execution to develop a descriptive and predictive model (potentially leverage AI) methodology.
- Develop an appropriate cloud-based RDBMS (or equivalent) to host data from different sources including different ERP systems, Oracle Analytics cloud and Tech initiated Common Data Environment.
- interface with the Global BI, Sales and operations functions to enhance KPIs used in the dashboards based on the outcomes of Project Analytics studies..
- Develop and implement a framework for data quality management (relevant for Project Analytics), feedback and reporting mechanism (preferably automated process / tool).
- Design and development of a Project Analytics Engine
- Develop a descriptive model using key performance KPIs to identify systematic issues / challenges and perform root cause analysis.
- Develop service benchmarking tool to increase estimate accuracy in the pursuit stage and Improvement plans at delivery stage.
- Develop a predictive project performance model trained on historic project performance data. Support in developing an early warning system which will act as decision support tool for better Go-No Go decision making and potential future project performance issues.
- Provide inputs to the Global BI team on project performance Dashboards (across ERPs) and Oracle Analytics Cloud dashboards with the proposed Project Analytics.
- Develop interface with Professional services to develop an internal performance management approach.
- Stakeholder management and communications
- Communication with PM community, Global BI and Tech function to align platform and data architecture.
- Work with GOPS Performance Excellence vertical to ensure strategic objectives met.
Key shared accountabilities
Key profile requirements