Staff Data Scientist guiding the implementation of machine learning models and deep learning tools at Blue Yonder. Collaborating with cross - functional teams to deliver retail solutions for data science and ML applications.
About the role
- Data Manager at Excelya driving innovation in clinical research with a focus on data management. Engaging in diverse projects and collaborating with Agile teams in a stimulating environment.
Responsibilities
- Collect and challenge business requirements; document meeting outcomes and key decisions.
- Perform functional and technical testing of the VITRO application
- Conduct data quality control on the VITRO database
- Write and update user documentation (guides, training materials, business rules) in both French and English
- Review and track master data imports in DEV, UAT, and PROD environments
- Ensure functional understanding of in vitro data applications and their integration with the VITRO product
- Validate and monitor links between VITRO and master data/reference systems
- Implement data integrity rules and ensure compliance
- Execute data management decisions and directives defined by the internal data manager
- Collaborate closely with Agile team members and business stakeholders
Requirements
- Experience: Minimum 5 years in data management or related fields, preferably in preclinical research
- Skills: Strong analytical, communication, and organizational skills; autonomy and team collaboration required
- Education: Master's degree in a relevant scientific or technical field
- Languages: Fluent in French and English (written and spoken)
Benefits
- We are a young, ambitious health company representing 900 Excelyates, driven to become Europe's leading mid-size CRO with the best employee experience.
- Our one-stop provider service model — offering full-service, functional service provider, and consulting — enables you to evolve through diverse projects.
- Working alongside preeminent experts, you will help improve scientific, operational, and human knowledge to enhance the patient's journey.
- **Excelling with care** means benefiting from an environment that values your natural talents, pushes boundaries with audacity, and nurtures your potential, allowing you to contribute fully to our shared mission.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Location requirements
Data Scientist I developing AI solutions for a leading supply chain company. Innovating and collaborating on cutting - edge AI technologies within diverse teams.
Insights & Analytics Lead managing consumer insights and research projects at Kimberly - Clark. Leading strategic initiatives to drive value creation across Asia's markets.
Lead consumer insights projects and analyses across Asia for Kimberly - Clark’s Family Care brands. Drive strategies through deep understanding of consumer needs and market trends.
Software Development role at GDIT requiring a TS/SCI clearance with Polygraph. Engaging in government projects for software innovation and development in Virginia.
Coordenador de Ciência de Dados leading the data team in developing analytical solutions for Caixa Vida e Previdência. Focused on data science and project coordination in a collaborative environment.
Lead and deliver AI initiatives focusing on traditional machine learning and generative AI for Mashreq Bank. Build, scale, and productionize models for business transformation and operational efficiency.
Data Scientist designing and implementing analytical solutions using Python and AI technologies. Collaborating cross - functionally to deliver Generative AI solutions for business needs in a hybrid setup.
Data Scientist developing machine learning models and analytics solutions to improve decisions in the mortgage lifecycle from acquisition to servicing. Collaborating with teams on predictive modeling and automation workflows.
Data Scientist developing predictive models and automation workflows for the mortgage lifecycle. Collaborating with cross - functional teams to enhance operational efficiency and customer outcomes.