6 jobs voor research scientist gevonden

Research and Development

• Research new formulation approaches and innovative technologies for adjuvants, bio-stimulants, and bio-crop protection products.
• Design and execute experiments to develop robust formulations for various products.
• Design and conduct Stability Studies and Product Testing Procedures to ensure formulations meet commercial criteria.Key evaluations include efficacy, microbial stability, p.H measurements, physical properties (viscosity, dispersion, particle size, emulsion/suspension, etc.), compatibility testing (container, tank mix, etc.), and ASTM methods.
• Stay updated on industry trends and emerging technologies related to formulations and sustainable practices.

• Collaborate with R&D teams to ensure successful product development.
• Provide technical support to the Product Development organization.
• Participate in the technical transfer of formulation processes to contract manufacturing facilities, including site visits.
• Contribute to patent applications.

• Plan and manage resources, materials, and logistics required to conduct formulation development activities.
• Analyse data, interpret results, and provide recommendations for target and formulation improvements.
• Assemble and maintain testing and formulation equipment.
• Prepare laboratory notebooks, technical reports, summaries, protocols, and methods for the development of adjuvants, bio-stimulants, and biopesticides.

Are you passionate about data-driven platforms, machine learning models, and innovative applications?As a Data Scientist/Engineer at Devoteam, you'll play a hands-on role in delivering impactful solutions across various clients and industries.Each mission we undertake has clear deliverables and deadlines, ensuring you gain diverse experience.For example, one month you might develop a predictive maintenance model, and the next, a customer segmentation model for a retail client.

Key Responsibilities:

• Platform Setup: Design and implement robust data platforms using Azure, AWS or Google Cloud and Databricks.
• Data Management: Gather, prepare, and manage data for analysis.
• Model Research: Investigate and select appropriate machine learning models.
• ML Modeling: Develop and refine machine learning models.

• Client Collaboration: Spend approximately 50% of your time working directly with clients, either independently or as part of a team.