This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
Every year, we help hundreds of thousands of people find rewarding jobs in the ever-changing world of work. We understand the importance of a job in peoples lifes and we want to help them find work that feels good. And we’ll help them continue to grow as their needs and ambitions change. At Randstad, our value comes from our people and that is why we put them first. We are proud of our learning culture and career architecture framework that encourages ours team to develop both personally and professionally. We believe that talent grows when presented with opportunity and this is why we encourage our people to think beyond their role. We have created a culture that enables talent to flourish, encouraging entrepreneurship, fostering team spirit, and continually building mutual trust.
Job Responsibility:
Performs the acquisition, processing, integration, and cleaning of more complex data from multiple sources, enhancing the organization's ability to make strategic decisions through improved data quality and accessibility
Builds and refines advanced AI, data science, and statistical models independently. Contributes significantly to the development and efficiency of the modelling process and integrates into appropriate datasets to bring value to key stakeholders (including customers)
Performs complex data investigations and performs analysis, identifying trends and variances that support the organization’s strategic initiatives. Uses advanced statistics, machine learning-based, or other methods to support this work. This includes managing data mining, validation, and reconciliation tasks to ensure accuracy and consistency in data reports. Processes developed will be scalable to be used in a standardized manner for multiple uses
Delivers business intelligence projects, providing critical support within assigned areas to better align with organizational strategies. Leads the implementation of new analytics tools and techniques within assigned area
Enhances internal relationships by facilitating the presentation of complex data insights and developing advanced visual aids such as charts and graphs, which illustrate business, operations, customer and economic performance trends and support decision-making processes
Continuously develops and shares knowledge of emerging trends and changes in data analytics, supporting and promoting change management and departmental initiatives within assigned areas of responsibility. Researches more complex data-driven insights that can significantly improve customer experiences
Implements the modernization and automation of data science algorithms and/or data pipelines, educates junior colleagues on (new) reporting solutions and improvement proposals that increase the quality and uniformity of data driven solutions
Independently contributes to the development of data science, and machine learning processing pipelines to ensure that data is continuously updated and maintained for use by stakeholders. Continuous monitoring and testing is performed to ensure proper functionality
Requirements:
Performs the acquisition, processing, integration, and cleaning of more complex data from multiple sources
Builds and refines advanced AI, data science, and statistical models independently
Performs complex data investigations and performs analysis, identifying trends and variances
Uses advanced statistics, machine learning-based, or other methods
Requires programming/scripting ability
Delivers business intelligence projects
Leads the implementation of new analytics tools and techniques
Enhances internal relationships by facilitating the presentation of complex data insights
Continuously develops and shares knowledge of emerging trends and changes in data analytics
Implements the modernization and automation of data science algorithms and/or data pipelines
Independently contributes to the development of data science, and machine learning processing pipelines
Requires in-depth conceptual and practical knowledge in own discipline and basic understanding of related disciplines
Solves a range of problems through applying technical and/or functional experience
May lead small projects or project steps within a broader project
Works independently, receiving guidance on complex and unprecedented problems
Provides support and guidance to team members
Impacts quality and effectiveness of customer, operational, project/program or service activities
Exchanges complex information with others, potentially guiding and persuading others